Pneumatic pulse-width modulated pressure control via trajectory optimized fast-switching electromagnetic valves
|
|
- Roger Maxwell
- 5 years ago
- Views:
Transcription
1 This ocument contains a post-print version of the paper Pneumatic pulse-with moulate pressure control via trajectory optimize fast-switching electromagnetic valves authore by T. Glück, W. Kemmetmüller, A. Pfeffer, an A. Kugi an publishe in Proceeings of the 13th Mechatronics Forum, International Conference. The content of this post-print version is ientical to the publishe paper but without the publisher s final layout or copy eiting. Please, scroll own for the article. Cite this article as: T. Glück, W. Kemmetmüller, A. Pfeffer, an A. Kugi, Pneumatic pulse-with moulate pressure control via trajectory optimize fast-switching electromagnetic valves, in Proceeings of the 13th Mechatronics Forum, International Conference, vol. 3/3, Linz, Austria, Sep. 1, pp BibTex Title = {Pneumatic pulse-with moulate pressure control via trajectory optimize fast-switching electromagnetic valves}, Author = {T. Glück an W. Kemmetmüller an A. Pfeffer an A. Kugi}, Booktitle = {Proceeings of the 13th Mechatronics Forum, International Conference}, Year = {1}, Aress = {Linz, Austria}, Month = {Sept }, Pages = {9-99}, Volume = {3/3}, Url = { } Link to original paper: Rea more ACIN papers or get this ocument: Contact: Automation an Control Institute (ACIN) Internet: Vienna University of Technology office@acin.tuwien.ac.at Gusshausstrasse 7-9/E37 Phone: Vienna, Austria Fax:
2 Pneumatic Pulse-With Moulate Pressure Control via Trajectory Optimize Fast-Switching Electromagnetic Valves T. Glück, W. Kemmetmüller, A. Pfeffer, A. Kugi Automation an Control Institute Vienna University of Technology Gusshausstrasse Vienna, Austria glueck@acin.tuwien.ac.at kemmetmueller@acin.tuwien.ac.at pfeffer@acin.tuwien.ac.at kugi@acin.tuwien.ac.at Abstract The esign of a pneumatic pulse-with moulate pressure control via trajectory optimize fast-switching electromagnetic valves is presente. Two fast-switching valves are use in a half brige configuration for pressure control in a pneumatic volume. The valves are operate using a feeforwar control, which guarantees soft laning an time optimality. The control performance an achievable noise reuction of the pulse-with moulate pressure control in combination with the optimize switching strategy is emonstrate by measurement results on an experimental test bench. I. INTRODUCTION In many inustrial applications, there is a eman for pneumatic systems that are controlle by cheap an reliable switching actuators. In automation applications, for instance, pneumatic piston actuators are frequently controlle by means of pneumatic pulse-with moulation, see, e.g., [9], [1], [13], [1]. Here, four fast-switching valves, arrange in a pneumatic full brige, replace the traitional irectional control valve. In orer to achieve a high pulse-with moulation frequency an likewise a high close-loop banwith, short valve switching times are necessary. The high pulse-with moulation frequency, however, prouces acoustic noise an causes mechanical wear of the valves. For this, so-calle soft laning strategies were evelope in recent years, cf. [5], []. In [8], the esign of a feeforwar controller that facilitates soft laning an time optimality of a fast-switching electromagnetic valve was presente. The feeforwar controller was esigne by point-to-point quasi-time-optimal control, which allows to incorporate input constraints in a systematic way. In this contribution, the feeforwar control concept is applie to two fast-switching valves which are arrange in a pneumatic half brige in orer to control the pressure in a chamber by means of pulse-with moulation. For this, the mathematical moel of the chamber is erive an the moel parameters are ientifie by means of measurements. Furthermore, a nonlinear controller base on exact input-output linearization is esigne. At first, in Section II an III, the moeling of the switching valves an the esign of the feeforwar controller are briefly summarize. Subsequently in Section IV the chamber moel is erive an in Section V the pulse-with moulate pressure control is esigne. Measurement results on an experimental test bench, given in Section VI, valiate the performance of the evelope control strategy an emonstrate the resulting noise reuction. Electromagnet II. VALVE MODEL Spring Plunger Working port Exhaust port Sleeve Supply port Sealings Fig. 1: Schematics of the 3/-fast-switching valve. The mathematical moel of the consiere fast-switching valve, schematically epicte in Fig. 1, can be separate into three subsystems: the electromagnetic, the mechanical an the pneumatic subsystem. Since measurement results of the consiere fast-switching valve confirm that the valve is pressure-balance, the pressure forces acting on the plunger will be neglecte. In aition, it is assume that the flow force is small in comparison to the magnetic force. Since no internal feeback from the pneumatic ynamics to the electromechanical subsystem is consiere, the optimal control Post-print version of the article: T. Glück, W. Kemmetmüller, A. Pfeffer, an A. Kugi, Pneumatic pulse-with moulate pressure control via trajectory optimize fast-switching electromagnetic valves, in Proceeings of the 13th Mechatronics Forum, International Conference, vol. 3/3, Linz, Austria, Sep. 1, pp The content of this post-print version is ientical to the publishe paper but without the publisher s final layout or copy eiting.
3 problem can be formulate with the pneumatic subsystem being neglecte. A. Electromagnetic Subsystem The equivalent magnetic circuit of the fast-switching valve is shown in Fig. a. It comprises the flux-epenent effective R fc (Φ fc ) Θ Φ fc R l Φ l (a) Reluctance moel. R g (s) R fp Φ fp c v f m, f s, f f v m v Plunger s, w s l s u (b) Schematics. Fig. : Reluctance moel an schematics of the fast-switching valve. core reluctance R fc (Φ fc ), with core flux Φ fc, the effective reluctance R fp of the plunger, the effective reluctance R g (s) of the air gap s between the core an the plunger, an the reluctance R l which accounts for leakage fluxes. The reluctances are moele in the form l fc l fp R fc (Φ fc ) =, R fp =, µ µ fc (Φ fc )A fc µ µ fp A fp R l = l l, R g (s) = s (1). µ A l µ A g Here, l fc, l fp, an l l are the effective lengths of the core, the plunger, an the leakage flux lines, respectively. A fc, A fp, an A l are the corresponing effective areas. The effective length of the air gap is equal to s, since there are two air gaps between the core an the plunger, cf. Fig. 1. The corresponing area is enote by A g. Furthermore, µ enotes the permeability of air an the relative permeability µ fp of the plunger is assume to be constant. Saturation of the core is phenomenologically moele as ( ( ) ( ) ) 1 Φfc Φ fc µ fc (Φ fc ) = k 1 exp k + k 3, () A fc A fc with the constant parameters k j, j = 1,, 3. The equivalent reluctance R of the overall system reas as R(Φ fc, s) = R fc (Φ fc ) + R l (R g (s) + R fp ) R l + R g (s) + R fp. (3) Using the magnetomotive force Θ = Ni of the coil, where i is the current an N is the number of turns, the flux Φ fc through the coil is given in the form Φ fc = Θ R. () Base on the flux linkage ψ = NΦ fc of the coil, Faraay s law yiels t ψ = v Ri, ψ() = ψ (5) with initial conition ψ, the electric resistance R an the applie voltage v. Moreover, the coil current i can be expresse in terms of the flux linkage an the air gap in the form i = B. Mechanical Subsystem R(ψ, s) N ψ. () Fig. b shows a schematic iagram of the forces acting on the plunger of the fast-switching valve. Here, s is the plunger position an w = ṡ is the plunger velocity. The mass of the plunger is enote by m v, the stiffness of the loa spring by c v, an the viscous amping coefficient ue to the friction of the housing an the sealing elements by v. The plunger is loae by the magnetic force f m (ψ, s), the spring force f s (s) an the friction force f f (w). Base on the magnetic energy with (3) an (), see, e.g., [7], W m (ψ, s) = = ψ ψ i( ψ, s) ψ R fc ( ψ/n) N the magnetic force yiels ( ) f m (ψ, s) = s W m (ψ, s) ψ ψ + 1 N R l (R g (s) + R fp ) R l + R g (s) + R fp ψ = 1 R l N (R l + R g (s) + R fp ) The spring force is moele as (7) ( ) s R g (s)ψ. (8) f s (s) = c v (s l c ) (9) with the preloa force c v l c. The friction force is assume to be compose of Coulomb friction an viscous friction, i.e. f f (w) = f fc sign(w) v w, (1) where the Coulomb friction force is enote by f fc an the viscous amping coefficient by v. Henceforth, ( ) the signumfunction in (1) is approximate by tanh w w c sign(w), with w c 1, proviing a continuously ifferentiable friction force f f (w). The balance of momentum for the plunger an Faraay s law (5) with () an the reluctance moel (3) results in the mathematical moel t s = w, s() = s, (11a) t w = 1 ( fm (ψ, s) + f s (s) + f f (w) ), w() = w, (11b) m v R(ψ, s) ψ = v R t N ψ, ψ() = ψ. (11c) Post-print version of the article: T. Glück, W. Kemmetmüller, A. Pfeffer, an A. Kugi, Pneumatic pulse-with moulate pressure control via trajectory optimize fast-switching electromagnetic valves, in Proceeings of the 13th Mechatronics Forum, International Conference, vol. 3/3, Linz, Austria, Sep. 1, pp The content of this post-print version is ientical to the publishe paper but without the publisher s final layout or copy eiting.
4 III. TRAJECTORY OPTIMIZATION The mathematical moel (11) with the state vector x = [ s w ψ ] T an with the constraine, affine input u = v U = [ u, u +] can be written in the form t x = f(x) + bu, x() = x, (1) with the initial conition x = [ s w ψ ] T, the vector fiel f an the constant input vector b. The control objective is to fin an optimal control input that guarantees a minimal transition time t f for a setpoint change with (u, x ) (u f, x f ), (13) x() = x, u() = u : = f(x ) + bu, x(t f ) = x f, u(t f )= u f : = f(x f ) + bu f (1) an the terminal conition x(t f ) = x f. Therefore, the inputconstraine point-to-point optimal control problem min J(u) = ϕ(t f ) + u U s.t. tf l(u)t t x = f(x) + bu, x() = x, x(t f ) = x f, u U = [ u, u +] (15) has to be solve. In the quasi-time-optimal case, the terminal cost ϕ(t f ) = t f (1) assures the time optimality an the Lagrange ensity l(u) = 1 ru, (17) with r >, serves as a regularization term in orer to avoi singular arcs. Introucing the Hamiltonian, see, e.g., [], H(x, u, λ) = l(u) + λ T (f(x) + bu), (18) with the ajoint states λ, an applying a time transformation t = t f τ that maps the time interval t (, t f ) onto τ (, 1), the optimal control problem can be reformulate by means of Pontryagin s maximum principle, see, e.g., [3], in form of a two-point bounary value problem, i.e. [ ] [ ] x τ λ = t f(x [ ) f ( x f) T (x ) λ + t b f u ] (19a) u = arg min u U H(x, u, λ ) (19b) with bounary conitions x () = x an x (1) = x f (19c) an the transversality conition H(x, u, λ ) τ =1 = 1 (19) resulting from the free en time t f. Here, the superscript refers to optimal variables. A. Solution of the Quasi-Time-Optimal Control Problem Owing to the input affine system representation (1), the first-orer necessary conition arising from the minimization problem (19b) reas in the unconstraine case as ( ) (x u H, u, λ ) = ru + (λ ) T b = () an can be explicitly solve in the form u = 1 r (λ ) T b. (1) In the constraine case it can be easily seen that the optimal control input takes the form u for u u u = ξ(λ ) = u for u (u, u + ). () u + for u u + Note that in the present case (λ ) T b = λ 3. Consiering the limit case r the optimal control input u switches between the limits u an u + whenever λ 3 changes the sign. Then, the solution of the optimal control problem (15) is a bang-bang control. In aition to (), the secon-orer necessary optimality conition, the so-calle Legenre-Clebsch conition ( ) u H (x, u, λ ), (3) is fulfille, for r >. B. Results of the Trajectory Optimization for Soft-Laning For the opening an for the closing of the valve, respectively, the point-to-point transitions u = v u, x = s u u f = v l, x f = s l ψ u an u = v l, x = s l u f = v u, x f = s u ψ l ψ l ψ u () (5) have to be performe within the normalize transition time τ (, 1). Here, v l, ψ l enote the resulting setpoint voltage an flux linkage at the lower en stop s l an v u, ψ u the setpoint voltage an flux linkage at the upper en stop s u, cf. (1). C. Numerical Results of the Quasi-Time-Optimal Control Problem Numerical solutions of the two-point bounary value problem (19) with (1) an () can be obtaine by utilizing the MATLAB function bvp5c, cf. [11]. The function bvp5c implements a finite ifference metho, in particular a collocation metho, see [11], that controls a scale resiual Post-print version of the article: T. Glück, W. Kemmetmüller, A. Pfeffer, an A. Kugi, Pneumatic pulse-with moulate pressure control via trajectory optimize fast-switching electromagnetic valves, in Proceeings of the 13th Mechatronics Forum, International Conference, vol. 3/3, Linz, Austria, Sep. 1, pp The content of this post-print version is ientical to the publishe paper but without the publisher s final layout or copy eiting.
5 an the true error, an aapts the mesh gri. The solver may not fin a solution if the initial guess oes not aequately represent the behavior of the system, see, e.g., [11]. As the aequate initial guess is not easy to fin, especially for the ajoint variables, there is a nee for a systematic solution proceure. The two-point bounary value problem is therefore numerically solve in a sequential proceure that can be summarize as follows: P ϑ, p p amb, ϑ amb p, ϑ ṁ out ṁ in p sup, ϑ sup First, a uniform mesh of M = 3 gri points at the time steps τ k = kt k, k =, 1,..., M, T k = 1/M serve as initial guess for the trajectories x (τ k ), λ (τ k ). A linear interpolation is performe between the bounary conitions (19c) of the states x with the setpoint from () for the opening an (5) for the closing, an zero initial values of the ajoint states λ are assume. Then, the problem is solve recurrently for a sequence of parameters r = r start,..., r en, cf. (17), using the previously receive solution as new initial guess. Figures 3 an show numerical results of the quasitime-optimal point-to-point transition for the opening an for the closing scenario for ecreasing parameters r [1 1, 1, 1 3, 1 ]1/V. Note that for all numerical solutions outsie the vertical ashe lines the initial an final values are hel constant for illustration purposes only. The optimal state trajectories for opening the valve are given in Fig. 3a. Fig. 3c shows the corresponing optimal input voltage v, which converges for smaller parameters r towars a bang-bang control. Fig. shows analogous numerical results for the closing scenario of the valve. Note that in this case the solution of the optimal control problem is not purely bangbang. Whenever λ 3 vanishes, i.e. approximately for the time interval I s = [ ] [ ] τ 1, τ.3,., u vanishes as well. This happens if fm vanishes, implying that only the spring force accelerates the plunger. Parameter stuies have shown that this singular arc can be avoie with a smaller plunger mass m v, a smaller amping coefficient v, a larger spring stiffness c v or a larger preloa force c v l c. IV. CHAMBER AND PNEUMATIC VALVE MODEL In the consiere application, a half brige comprising two fast-switching valves is use for pressure control in a chamber, see Fig. 5. The chamber can be escribe by two inepenent variables, the temperature ϑ an the pressure p, an the governing moel equations may be erive from the conservation of mass an energy, see, e.g., [1]. Stipulating an isentropic process, the change of internal energy U is equal to the sum of the enthalpy flow Ḣ = ṁ inh in ṁ out h out an the applie heat flow Q = Aβ(ϑ amb ϑ), that is t U = ṁ inh in ṁ out h out + Aβ(ϑ amb ϑ), () Fig. 5: Setup with pneumatic half brige. with mass flow ṁ j, specific enthalpy h j, j {in, out}, heat transfer coefficient β, chamber surface A an ambient air temperature ϑ amb. Subsequently, it is assume that the air obeys the ieal gas law pv = R s ϑm, with mass m, pressure p, volume V an specific gas constant R s. In aition, the caloric state equations for the ieal gas u j = c v ϑ j an h j = c p ϑ j, with specific internal energy u j = U j /m, specific enthalpy h j = H j /m an the constant, specific heat capacities c v an c p hol. With R s = c p c v an the constant isentropic exponent κ = c p /c v, the temperature ifferential equation can be irectly inferre form () using the mass balance (9) (κ 1)ϑ ϑ = t pv ( ṁ in (c p ϑ in c v ϑ) ṁ out (c p c v ) ϑ ) + Aβ(ϑ amb ϑ), P (7) with initial temperature ϑ() = ϑ. The change of the gas temperature at the inflow valve can be approximate accoring to an isentropic change ϑ in = ϑ sup ( psup p ) 1 κ κ, (8) where the inex sup refers to the supply variables. The consieration of the mass balance t m = t (ρv ) = ṁ in ṁ out (9) with ρ in (9) ρ = p/(r s ϑ) accoring to the ieal gas law in combination with (7) gives rise to the pressure ifferential equation t p =κr s (ṁin ϑ in ṁ out ϑ ) + κ 1 V V Aβ(ϑ amb ϑ), (3) with initial pressure p() = p. The aiabatic lossless flow through a throttle valve, accoring to ISO [], is given by ϑ ṁ j = C j (s j )p j ρ Ψ(Π j ), j {in, out}, (31) ϑ j Post-print version of the article: T. Glück, W. Kemmetmüller, A. Pfeffer, an A. Kugi, Pneumatic pulse-with moulate pressure control via trajectory optimize fast-switching electromagnetic valves, in Proceeings of the 13th Mechatronics Forum, International Conference, vol. 3/3, Linz, Austria, Sep. 1, pp The content of this post-print version is ientical to the publishe paper but without the publisher s final layout or copy eiting.
6 r = /V r = 1 1 1/V r = /V r = 1 1 1/V t f = 1.9 ms t f = 1.37 ms t f = 1.17 ms t f = 1.15 ms s in m w in m/s ψ in Vs normalize time τ λ 1 λ λ normalize time τ v in V i in A f m in N normalize time τ (a) Optimal state trajectories. (b) Optimal ajoint state trajectories. (c) Optimal voltage v, current i, magnetic force f m. Fig. 3: Numerical results of the quasi-time-optimal control problem for the opening motion (s u s l ). r = /V r = 1 1 1/V r = /V r = 1 1 1/V t f = 1.9 ms t f = 1.53 ms t f = 1.39 ms t f = 1.38 ms s in m w in m/s ψ in Vs λ 1 λ λ v in V i in A f m in N normalize time τ normalize time τ normalize time τ (a) Optimal state trajectories. (b) Optimal ajoint state trajectories. (c) Optimal voltage v, current i, magnetic force f m. Fig. : Numerical results of the quasi-time-optimal control problem for the closing motion (s l s u ). Post-print version of the article: T. Glück, W. Kemmetmüller, A. Pfeffer, an A. Kugi, Pneumatic pulse-with moulate pressure control via trajectory optimize fast-switching electromagnetic valves, in Proceeings of the 13th Mechatronics Forum, International Conference, vol. 3/3, Linz, Austria, Sep. 1, pp The content of this post-print version is ientical to the publishe paper but without the publisher s final layout or copy eiting.
7 with technical ensity ρ = kg/m 3 an technical temperature ϑ = K. The position-epenent pneumatic conuctances C j are assume to be affine in the valve position s j an rea as C j (s j ) = γ(s u s j ) with constant γ > an upper limit s u for j {in, out}. The flow-through function Ψ(Π j ) in (31) is escribe by [] ( ) Πj Π 1 c Ψ(Π j ) = 1 Π c for Π j > Π c (3) 1 for Π j Π c with pressure ratios Π in = p sup /p, Π out = p/p amb an respective constant, critical pressure ratios Π c >. V. PNEUMATIC PULSE-WIDTH MODULATED PRESSURE CONTROL The usage of a pulse-with moulate valve opening area an likewise conuctance C results in a pulse-with moulation of the mass flow ṁ, which allows to control the chamber pressure. Since the valve ynamics is reasonably C j C max χ j Fig. : Pulse-with moulate conuctance. fast compare to the temperature an pressure ynamics, the instantaneous switching of the valves may be assume in the following. Using a suitable control strategy for the two valves of the half brige as has been iscusse in Section IV, either the maximum conuctance C max or the minimum conuctance C min = of the iniviual valves j {in, out} can be prescribe. The pulse-with moulate conuctances C j (t) for t = k with k Z rea as { Cmax for k < t (k + χ j ) C j (t) =, for (k + χ j ) < t (k + 1) (33) where χ j 1 are the uty ratios an is the fixe moulation perio, cf. Fig.. Obviously, the average values C j = 1 ktpwm (k 1) C j (t) t = C max χ j (3) of the conuctances C j can be irectly etermine by means of the pulse ratios χ j. However, the value of the uty ratios χ j can be solely set at the beginning of each moulation perio. Hence, only the mean value p of the pressure an the mean value of the mass flow ṁ can be controlle via the uty ratios χ j. For the controller esign it is assume that the overall gas t temperature is constant, i.e. ϑ = ϑ in = ϑ = ϑ sup. Then, the ynamics of the mean value p of the pressure p = 1 t t p(τ) τ (35) can be irectly euce from (3) in the form t p = κr ( ) s V ϑ ṁ in ṁ out, (3) with the mass flow mean values ṁ j = 1 t t ṁ j (τ) τ (37) an ṁ j in accorance to (31). The interconnection of the fastswitching valves with ṁ in an ṁ out suggests to introuce the virtual control input ( ) α = ξ ṁ = ξ ṁ in ṁ out, (38) whit the abbreviation ξ = κr s ϑ /V. Thus, the control law α = p η 1 e p η e p,i, (39) with the pressure error e p = p p an a sufficiently smooth esire trajectory p of the mean value of the pressure reners the linear error ynamics ë p + η 1 ė p + η e p =. () The ynamics can be arbitrarily assigne by means of the positive control parameters η 1, η >. The conitional integration t e p,i = e p,c τ e p,c = with if (χ χ max ) (e p > ) if (χ χ min ) (e p < ) else e p (1) is introuce in orer to prevent control winup inuce by the limits χ min χ χ max. Accoring to (38), the mass flows rea as ṁ in = { α ξ for α > for α, ṁ out = { for α α ξ for α <. () Since the supply an ambient pressure, p sup an p amb, are assume to be constant, the mass flow mean value (37) may be written in the form ṁ j = ρ t t C j (s j )Γ(p j ) τ, (3) with the pressure-epenent term Γ(p j ) = p j Ψ(Π j ). Moreover, for small pressure variations p j from the mean values p j the following approximation Γ(p j ) Γ( p j ) + O( p j ), () Post-print version of the article: T. Glück, W. Kemmetmüller, A. Pfeffer, an A. Kugi, Pneumatic pulse-with moulate pressure control via trajectory optimize fast-switching electromagnetic valves, in Proceeings of the 13th Mechatronics Forum, International Conference, vol. 3/3, Linz, Austria, Sep. 1, pp The content of this post-print version is ientical to the publishe paper but without the publisher s final layout or copy eiting.
8 with the Lanau-symbol O( ), see, e.g., [15], is utilize. The combination of the this approximation with (3) an (3) finally yiels the uty ratios χ j = 1 ρ Γ( p j )C max ṁ j, j {in, out}, (5) which can be irectly translate into closing times of the respective valves. VI. IMPLEMENTATION After the successful testing of the pulse-with moulate control strategy in several simulations, it was implemente on a test bench, see Figures 5 an 7 for the setup. The test bench ientification task min θ J(θ) = 1 T m s.t. T m ( p(t; θ) pm ) t ) p = f p ( p(t; θ), p() = p, t θ = [ ] T Π c C max, (7) ) with f p ( p(t; θ) accoring to (3), is performe for measurements p m uring the time interval t (, T m ). Just with a little abuse of notation the aitional argument shoul explicitly inicate the epenence on the parameter vector θ. The ientification proceure was performe in MATLAB by means of the function fmincon using the sequential quaratic programming metho in combination with the orinary ifferential equations solver oe15s. Fig. 8 shows ientification results for the charging ( ṁ in > an ṁ out = ) an ischarging ( ṁ in = an ṁ out > ) of the chamber. The results show a goo agreement between measurements an simulations, which imply that the moel approximations are reasonable. Fig. 7: Photograph of the test bench. p in bar p in bar p p m consists of two fast-switching valves an a chamber of volume V =. l. The real-time system DSPACE 15 was use for ata processing with a sampling time of T s = 1 µs an a moulation perio of = 1 ms. Two pressure sensors measure the chamber an the supply pressure, p an p sup, respectively. The latter was controlle by means of a pressurecontrol valve to a constant value of p sup = 7 bar. The pressure mean value (35) is approximate by p(k ) 1 N pwm kn pwm 1 l=(k 1)N pwm p(lt s ), () with N pwm = /T s. The integral part (1) is realize by the Euler-metho, see, e.g., [15]. Experimental results of the trajectory optimization for soft laning were presente in [8]. They show that it is possible to open an close the valve in minimal time with almost zero velocity at the en stops, see [8]. These optimize trajectories are use as feeforwar control within the presente pneumatic pulse-with moulation. A. Parameter Ientification Some parameters of the controller esign moel (3) are unknown, which is why the nonlinear ynamic least-squares 1 3 time in s (a) Charging. 8 1 time in s (b) Discharging. Fig. 8: Ientification results of the pressure mean moel. B. Measurement Results Fig. 9 shows measurement results of the pulse-with moulate control strategy for a sinusoial esire trajectory of the pressure mean value p = p a sin(πft) + p o. In Fig. 9a, the parameters are chosen as p o = 3 bar, p a =.1 bar an f = 5 Hz, whereas in Fig. 9b epicts the results for p o = 5 bar, p a =.1 bar an f = 7 Hz. In both cases, a goo control performance can be achieve with the presente control strategy. C. Noise Reuction To illustrate the noise reuction achieve by the optimize trajectories of the valve, a comparison of the Fast-Fourier transformation of soun recorings from pulse-with moulate pressure control with a simple an with the trajectory optimize valve actuation are epicte in Fig. 1. With the simple switching valve actuation only the maximum voltage to open an the minimum voltage to close is applie to the Post-print version of the article: T. Glück, W. Kemmetmüller, A. Pfeffer, an A. Kugi, Pneumatic pulse-with moulate pressure control via trajectory optimize fast-switching electromagnetic valves, in Proceeings of the 13th Mechatronics Forum, International Conference, vol. 3/3, Linz, Austria, Sep. 1, pp The content of this post-print version is ientical to the publishe paper but without the publisher s final layout or copy eiting.
9 p in bar χj p p χ in χ out.1..3 time in s abs ( fft( ) ) /Nfft frequency in khz (a) Simple valve actuation. abs ( fft( ) ) /Nfft frequency in khz (b) Trajectory optimize valve actuation. Fig. 1: Fast-Fourier transformation of soun recorings from a simple an from the trajectory optimize valve actuation for a sinusoial esire trajectory with a frequency of f = 5 khz. p in bar χj (a) Sinusoial reference trajectory with p a =.1 bar, p o = 3 bar, f = 5 Hz χ in p p.1..3 time in s χ out (b) Sinusoial reference trajectory with p a =.1 bar, p o = 5 bar, f = 7 Hz. Fig. 9: Measurement results of the pulse-with moulate pressure control for ifferent sinusoial esire reference trajectory of the pressure mean value p = p a sin(πft) + p o. valves. The results in Fig. 1 reveal a significant reuction in the frequency range Hz. VII. CONCLUSION In this work, pulse-with moulate pressure control with fast-switching valves arrange in a half brige is presente. The fast-switching valves are riven by optimize feeforwar trajectories which facilitate soft laning an time optimality. For this, a point-to-point quasi-time-optimal control problem is formulate by means of Pontryagin s maximum principle an numerically solve by a irect approach. The erivation of a mean value chamber moel an the ientification of its parameters form the starting point for the esign of a nonlinear pressure controller. Measurement results on an experimental test bench show the applicability of the propose pressure control an emonstrate the achievable noise reuction of the pulse-with moulate pressure control in combination with the optimize switching strategy. Future work aresses the extension of the control strategy to pneumatic piston actuators. ACKNOWLEDGMENT The authors woul like to thank Festo AG [1] for the financial support an cooperation uring this joint project. REFERENCES [1] Festo AG, June 1. [] ISO 358, June 1. [3] M. Athans an P. Falb. Optimal control: An introuction to the theory an its applications. McGraw-Hill, New York, 19. [] A.E. Bryson an Y.C. Ho. Applie optimal control. John Wiley & Sons, New York, [5] R. R. Chlany an C. R. Koch. Flatness-base tracking of an electromechanical variable valve timing actuator with isturbance observer feeforwar compensation. IEEE Transactions on Control System Technology, 1():5 3, 8. [] S. K. Chung, C. R. Koch, an A. F. Lynch. Flatness-base feeback control of an automotive solenoi valve. IEEE Transactions on Control System Technology, 15():39 1, 7. [7] A.E. Fitzgeral, C. Kingsley, an S.D.Umans. Electric maschinery. McGraw-Hill, th eition, 3. [8] T. Glück, W. Kemmetmüller, an A. Kugi. Trajectory optimization for soft laning of fast-switching electromagnetic valves. In Proceeings of the 18th IFAC Worl Congress, pages , Milano, Italy, Aug. 8 - Sept [9] S. Hogson, M. Q. Le, M. Tavakoli, an M. T. Pham. Sliing-moe control of nonlinear iscrete-input pneumatic actuators. In Proceeings of the IEEE/RJS International Conference on Intelligent Robots an Systems, pages , San Francisco, USA, -3 Sept. 11. [1] K.A. Hofmann, S.T.L Chiang, M.S. Siiqui, an M. Papaakis. Funamental equations of flui mechanics. Engineering Eucation System, Wichita, 199. [11] J. Kierzenka an L.F. Shampine. A bvp solver that controls resiual an error. Journal of Numerical Analysis, Inustrial an Applie Mathematics, 3(1-):7 1, 8. [1] A. Messinaa, N. I. Giannoccaroa, an A. Gentile. Experimenting an moelling the ynamics of pneumatic actuators controlle by the pulse with moulation technique. Mechatronics, 15: , 5. [13] T. Nguyen, J. Leavitt, F. Jabbari, an J. E. Bobrow. Accurate sliingmoe control of pneumatic systems using low-cost solenoi valves. IEEE/ASME Transactions on Mechatronics, 1():1 19, 7. [1] X. Shen, J. Zhang, E. J. Barth, an M. Golfarb. Nonlinear moel-base control of pulse with moulate pneumatic servo systems. Journal of Dynamic Systems, Measurement, an Control, 18:3 9,. [15] J. Stoer an R. Burlisch. Introuction to numerical analysis. Springer, New York,. Post-print version of the article: T. Glück, W. Kemmetmüller, A. Pfeffer, an A. Kugi, Pneumatic pulse-with moulate pressure control via trajectory optimize fast-switching electromagnetic valves, in Proceeings of the 13th Mechatronics Forum, International Conference, vol. 3/3, Linz, Austria, Sep. 1, pp The content of this post-print version is ientical to the publishe paper but without the publisher s final layout or copy eiting.
Trajectory optimization for soft landing of fast-switching electromagnetic valves
Preprints of the 18th IFAC Worl Congress Milano (Italy) August 28 - September 2, 211 Trajectory optimization for soft laning of fast-switching electromagnetic valves T. Glück W. Kemmetmüller A. Kugi Automation
More informationExperimental Robustness Study of a Second-Order Sliding Mode Controller
Experimental Robustness Stuy of a Secon-Orer Sliing Moe Controller Anré Blom, Bram e Jager Einhoven University of Technology Department of Mechanical Engineering P.O. Box 513, 5600 MB Einhoven, The Netherlans
More informationHomework 7 Due 18 November at 6:00 pm
Homework 7 Due 18 November at 6:00 pm 1. Maxwell s Equations Quasi-statics o a An air core, N turn, cylinrical solenoi of length an raius a, carries a current I Io cos t. a. Using Ampere s Law, etermine
More informationSchrödinger s equation.
Physics 342 Lecture 5 Schröinger s Equation Lecture 5 Physics 342 Quantum Mechanics I Wenesay, February 3r, 2010 Toay we iscuss Schröinger s equation an show that it supports the basic interpretation of
More informationNonlinear pressure control of self-supplied variable displacement axial piston pumps
This ocument contains a post-print version of the paper Nonlinear pressure control of self-supplie variable isplacement axial piston pumps authore by W. Kemmetmüller, F. Fuchshumer, an A. Kugi an publishe
More informationExponential Tracking Control of Nonlinear Systems with Actuator Nonlinearity
Preprints of the 9th Worl Congress The International Feeration of Automatic Control Cape Town, South Africa. August -9, Exponential Tracking Control of Nonlinear Systems with Actuator Nonlinearity Zhengqiang
More informationExperimental Determination of Mechanical Parameters in Sensorless Vector-Controlled Induction Motor Drive
Experimental Determination of Mechanical Parameters in Sensorless Vector-Controlle Inuction Motor Drive V. S. S. Pavan Kumar Hari, Avanish Tripathi 2 an G.Narayanan 3 Department of Electrical Engineering,
More informationOn Using Unstable Electrohydraulic Valves for Control
Kailash Krishnaswamy Perry Y. Li Department of Mechanical Engineering, University of Minnesota, 111 Church St. SE, Minneapolis, MN 55455 e-mail: kk,pli @me.umn.eu On Using Unstable Electrohyraulic Valves
More informationAn inductance lookup table application for analysis of reluctance stepper motor model
ARCHIVES OF ELECTRICAL ENGINEERING VOL. 60(), pp. 5- (0) DOI 0.478/ v07-0-000-y An inuctance lookup table application for analysis of reluctance stepper motor moel JAKUB BERNAT, JAKUB KOŁOTA, SŁAWOMIR
More informationApplication of the homotopy perturbation method to a magneto-elastico-viscous fluid along a semi-infinite plate
Freun Publishing House Lt., International Journal of Nonlinear Sciences & Numerical Simulation, (9), -, 9 Application of the homotopy perturbation metho to a magneto-elastico-viscous flui along a semi-infinite
More information'HVLJQ &RQVLGHUDWLRQ LQ 0DWHULDO 6HOHFWLRQ 'HVLJQ 6HQVLWLYLW\,1752'8&7,21
Large amping in a structural material may be either esirable or unesirable, epening on the engineering application at han. For example, amping is a esirable property to the esigner concerne with limiting
More informationSwitching Time Optimization in Discretized Hybrid Dynamical Systems
Switching Time Optimization in Discretize Hybri Dynamical Systems Kathrin Flaßkamp, To Murphey, an Sina Ober-Blöbaum Abstract Switching time optimization (STO) arises in systems that have a finite set
More informationA Simple Model for the Calculation of Plasma Impedance in Atmospheric Radio Frequency Discharges
Plasma Science an Technology, Vol.16, No.1, Oct. 214 A Simple Moel for the Calculation of Plasma Impeance in Atmospheric Raio Frequency Discharges GE Lei ( ) an ZHANG Yuantao ( ) Shanong Provincial Key
More informationAPPROXIMATE SOLUTION FOR TRANSIENT HEAT TRANSFER IN STATIC TURBULENT HE II. B. Baudouy. CEA/Saclay, DSM/DAPNIA/STCM Gif-sur-Yvette Cedex, France
APPROXIMAE SOLUION FOR RANSIEN HEA RANSFER IN SAIC URBULEN HE II B. Bauouy CEA/Saclay, DSM/DAPNIA/SCM 91191 Gif-sur-Yvette Ceex, France ABSRAC Analytical solution in one imension of the heat iffusion equation
More informationChapter 6: Energy-Momentum Tensors
49 Chapter 6: Energy-Momentum Tensors This chapter outlines the general theory of energy an momentum conservation in terms of energy-momentum tensors, then applies these ieas to the case of Bohm's moel.
More informationNonlinear Adaptive Ship Course Tracking Control Based on Backstepping and Nussbaum Gain
Nonlinear Aaptive Ship Course Tracking Control Base on Backstepping an Nussbaum Gain Jialu Du, Chen Guo Abstract A nonlinear aaptive controller combining aaptive Backstepping algorithm with Nussbaum gain
More information4. CONTROL OF ZERO-SEQUENCE CURRENT IN PARALLEL THREE-PHASE CURRENT-BIDIRECTIONAL CONVERTERS
4. CONRO OF ZERO-SEQUENCE CURREN IN PARAE HREE-PHASE CURREN-BIDIRECIONA CONVERERS 4. A NOVE ZERO-SEQUENCE CURREN CONRO 4.. Zero-Sequence Dynamics he parallel boost rectifier moel in Figure.4 an the parallel
More information19 Eigenvalues, Eigenvectors, Ordinary Differential Equations, and Control
19 Eigenvalues, Eigenvectors, Orinary Differential Equations, an Control This section introuces eigenvalues an eigenvectors of a matrix, an iscusses the role of the eigenvalues in etermining the behavior
More informationECE 422 Power System Operations & Planning 7 Transient Stability
ECE 4 Power System Operations & Planning 7 Transient Stability Spring 5 Instructor: Kai Sun References Saaat s Chapter.5 ~. EPRI Tutorial s Chapter 7 Kunur s Chapter 3 Transient Stability The ability of
More informationBEYOND THE CONSTRUCTION OF OPTIMAL SWITCHING SURFACES FOR AUTONOMOUS HYBRID SYSTEMS. Mauro Boccadoro Magnus Egerstedt Paolo Valigi Yorai Wardi
BEYOND THE CONSTRUCTION OF OPTIMAL SWITCHING SURFACES FOR AUTONOMOUS HYBRID SYSTEMS Mauro Boccaoro Magnus Egerstet Paolo Valigi Yorai Wari {boccaoro,valigi}@iei.unipg.it Dipartimento i Ingegneria Elettronica
More informationDynamics of the synchronous machine
ELEC0047 - Power system ynamics, control an stability Dynamics of the synchronous machine Thierry Van Cutsem t.vancutsem@ulg.ac.be www.montefiore.ulg.ac.be/~vct These slies follow those presente in course
More informationQuasi optimal feedforward control of a very low frequency high-voltage test system
Preprints of the 9th Worl Congress The International Feeration of Automatic Control Quasi optimal feeforwar control of a very low frequency high-voltage test system W. Kemmetmüller S. Eberharter A. Kugi
More informationEXPERIMENTAL INVESTIGATION ON PNEUMATIC COMPONENTS
Conference on Moelling Flui Flow (CMFF 03) The 12 th International Conference on Flui Flow Technologies Buapest, Hungary, September 3-6, 2003 EXPERIMENTAL INVESTIGATION ON PNEUMATIC COMPONENTS Zoltán MÓZER,
More informationPredictive Control of a Laboratory Time Delay Process Experiment
Print ISSN:3 6; Online ISSN: 367-5357 DOI:0478/itc-03-0005 Preictive Control of a aboratory ime Delay Process Experiment S Enev Key Wors: Moel preictive control; time elay process; experimental results
More informationMath 342 Partial Differential Equations «Viktor Grigoryan
Math 342 Partial Differential Equations «Viktor Grigoryan 6 Wave equation: solution In this lecture we will solve the wave equation on the entire real line x R. This correspons to a string of infinite
More informationCHARACTERISTICS OF A DYNAMIC PRESSURE GENERATOR BASED ON LOUDSPEAKERS. Jože Kutin *, Ivan Bajsić
Sensors an Actuators A: Physical 168 (211) 149-154 oi: 1.116/j.sna.211..7 211 Elsevier B.V. CHARACTERISTICS OF A DYNAMIC PRESSURE GENERATOR BASED ON LOUDSPEAKERS Jože Kutin *, Ivan Bajsić Laboratory of
More informationA new identification method of the supply hole discharge coefficient of gas bearings
Tribology an Design 95 A new ientification metho of the supply hole ischarge coefficient of gas bearings G. Belforte, F. Colombo, T. Raparelli, A. Trivella & V. Viktorov Department of Mechanics, Politecnico
More informationTMA 4195 Matematisk modellering Exam Tuesday December 16, :00 13:00 Problems and solution with additional comments
Problem F U L W D g m 3 2 s 2 0 0 0 0 2 kg 0 0 0 0 0 0 Table : Dimension matrix TMA 495 Matematisk moellering Exam Tuesay December 6, 2008 09:00 3:00 Problems an solution with aitional comments The necessary
More informationCalculus of Variations
16.323 Lecture 5 Calculus of Variations Calculus of Variations Most books cover this material well, but Kirk Chapter 4 oes a particularly nice job. x(t) x* x*+ αδx (1) x*- αδx (1) αδx (1) αδx (1) t f t
More informationSimple Electromagnetic Motor Model for Torsional Analysis of Variable Speed Drives with an Induction Motor
DOI: 10.24352/UB.OVGU-2017-110 TECHNISCHE MECHANIK, 37, 2-5, (2017), 347-357 submitte: June 15, 2017 Simple Electromagnetic Motor Moel for Torsional Analysis of Variable Spee Drives with an Inuction Motor
More informationMinimum-time constrained velocity planning
7th Meiterranean Conference on Control & Automation Makeonia Palace, Thessaloniki, Greece June 4-6, 9 Minimum-time constraine velocity planning Gabriele Lini, Luca Consolini, Aurelio Piazzi Università
More informationIPMSM Inductances Calculation Using FEA
X International Symposium on Inustrial Electronics INDEL 24, Banja Luka, November 68, 24 IPMSM Inuctances Calculation Using FEA Dejan G. Jerkan, Marko A. Gecić an Darko P. Marčetić Department for Power,
More informationHarmonic Modelling of Thyristor Bridges using a Simplified Time Domain Method
1 Harmonic Moelling of Thyristor Briges using a Simplifie Time Domain Metho P. W. Lehn, Senior Member IEEE, an G. Ebner Abstract The paper presents time omain methos for harmonic analysis of a 6-pulse
More informationRole of parameters in the stochastic dynamics of a stick-slip oscillator
Proceeing Series of the Brazilian Society of Applie an Computational Mathematics, v. 6, n. 1, 218. Trabalho apresentao no XXXVII CNMAC, S.J. os Campos - SP, 217. Proceeing Series of the Brazilian Society
More informationLecture 6: Control of Three-Phase Inverters
Yoash Levron The Anrew an Erna Viterbi Faculty of Electrical Engineering, Technion Israel Institute of Technology, Haifa 323, Israel yoashl@ee.technion.ac.il Juri Belikov Department of Computer Systems,
More informationMultirate Feedforward Control with State Trajectory Generation based on Time Axis Reversal for Plant with Continuous Time Unstable Zeros
Multirate Feeforwar Control with State Trajectory Generation base on Time Axis Reversal for with Continuous Time Unstable Zeros Wataru Ohnishi, Hiroshi Fujimoto Abstract with unstable zeros is known as
More informationExamining Geometric Integration for Propagating Orbit Trajectories with Non-Conservative Forcing
Examining Geometric Integration for Propagating Orbit Trajectories with Non-Conservative Forcing Course Project for CDS 05 - Geometric Mechanics John M. Carson III California Institute of Technology June
More informationChapter 9 Method of Weighted Residuals
Chapter 9 Metho of Weighte Resiuals 9- Introuction Metho of Weighte Resiuals (MWR) is an approimate technique for solving bounary value problems. It utilizes a trial functions satisfying the prescribe
More informationModeling of a permanent magnet synchronous machine with internal magnets using magnetic equivalent circuits
This ocument contains a post-print version of the paper Moeling of a permanent magnet synchronous machine with internal magnets using magnetic equivalent circuits authore by W. Kemmetmüller, D. Faustner,
More informationNew Simple Controller Tuning Rules for Integrating and Stable or Unstable First Order plus Dead-Time Processes
Proceeings of the 3th WSEAS nternational Conference on SYSTEMS New Simple Controller Tuning Rules for ntegrating an Stable or Unstable First Orer plus Dea-Time Processes.G.ARVANTS Department of Natural
More informationLecture XII. where Φ is called the potential function. Let us introduce spherical coordinates defined through the relations
Lecture XII Abstract We introuce the Laplace equation in spherical coorinates an apply the metho of separation of variables to solve it. This will generate three linear orinary secon orer ifferential equations:
More informationIntroduction to the Vlasov-Poisson system
Introuction to the Vlasov-Poisson system Simone Calogero 1 The Vlasov equation Consier a particle with mass m > 0. Let x(t) R 3 enote the position of the particle at time t R an v(t) = ẋ(t) = x(t)/t its
More informationELEC3114 Control Systems 1
ELEC34 Control Systems Linear Systems - Moelling - Some Issues Session 2, 2007 Introuction Linear systems may be represente in a number of ifferent ways. Figure shows the relationship between various representations.
More informationOPTIMAL CONTROL OF A PRODUCTION SYSTEM WITH INVENTORY-LEVEL-DEPENDENT DEMAND
Applie Mathematics E-Notes, 5(005), 36-43 c ISSN 1607-510 Available free at mirror sites of http://www.math.nthu.eu.tw/ amen/ OPTIMAL CONTROL OF A PRODUCTION SYSTEM WITH INVENTORY-LEVEL-DEPENDENT DEMAND
More informationA Novel Decoupled Iterative Method for Deep-Submicron MOSFET RF Circuit Simulation
A Novel ecouple Iterative Metho for eep-submicron MOSFET RF Circuit Simulation CHUAN-SHENG WANG an YIMING LI epartment of Mathematics, National Tsing Hua University, National Nano evice Laboratories, an
More informationSYNCHRONOUS SEQUENTIAL CIRCUITS
CHAPTER SYNCHRONOUS SEUENTIAL CIRCUITS Registers an counters, two very common synchronous sequential circuits, are introuce in this chapter. Register is a igital circuit for storing information. Contents
More informationDesign A Robust Power System Stabilizer on SMIB Using Lyapunov Theory
Design A Robust Power System Stabilizer on SMIB Using Lyapunov Theory Yin Li, Stuent Member, IEEE, Lingling Fan, Senior Member, IEEE Abstract This paper proposes a robust power system stabilizer (PSS)
More information6. Friction and viscosity in gasses
IR2 6. Friction an viscosity in gasses 6.1 Introuction Similar to fluis, also for laminar flowing gases Newtons s friction law hols true (see experiment IR1). Using Newton s law the viscosity of air uner
More informationSensors & Transducers 2015 by IFSA Publishing, S. L.
Sensors & Transucers, Vol. 184, Issue 1, January 15, pp. 53-59 Sensors & Transucers 15 by IFSA Publishing, S. L. http://www.sensorsportal.com Non-invasive an Locally Resolve Measurement of Soun Velocity
More informationA Comparison between a Conventional Power System Stabilizer (PSS) and Novel PSS Based on Feedback Linearization Technique
J. Basic. Appl. Sci. Res., ()9-99,, TextRoa Publication ISSN 9-434 Journal of Basic an Applie Scientific Research www.textroa.com A Comparison between a Conventional Power System Stabilizer (PSS) an Novel
More informationChapter 2 Governing Equations
Chapter 2 Governing Equations In the present an the subsequent chapters, we shall, either irectly or inirectly, be concerne with the bounary-layer flow of an incompressible viscous flui without any involvement
More informationLagrangian and Hamiltonian Dynamics
Lagrangian an Hamiltonian Dynamics Volker Perlick (Lancaster University) Lecture 1 The Passage from Newtonian to Lagrangian Dynamics (Cockcroft Institute, 22 February 2010) Subjects covere Lecture 2: Discussion
More informationOptimization of a point-mass walking model using direct collocation and sequential quadratic programming
Optimization of a point-mass walking moel using irect collocation an sequential quaratic programming Chris Dembia June 5, 5 Telescoping actuator y Stance leg Point-mass boy m (x,y) Swing leg x Leg uring
More informationH 2 GUARANTEED COST CONTROL DESIGN AND IMPLEMENTATION FOR DUAL-STAGE HARD DISK DRIVE TRACK-FOLLOWING SERVOS. Richard Conway
Proceeings of the ASME 211 Dynamic Systems an Control Conference DSCC211 October 31 - November 2, 211, Arlington, VA, USA DSCC211-695 H 2 GUARANTEED COST CONTROL DESIGN AND IMPLEMENTATION FOR DUAL-STAGE
More informationMotion-Copying System Using FPGA-based Friction-Free Disturbance Observer
IEEJ Journal of Inustry Applications Vol.3 No.3 pp.248 259 DOI: 10.1541/ieejjia.3.248 Paper Motion-Copying System Using FPGA-base Friction-Free Disturbance Observer Thao Tran Phuong a) Member, Kiyoshi
More informationarxiv: v1 [physics.flu-dyn] 8 May 2014
Energetics of a flui uner the Boussinesq approximation arxiv:1405.1921v1 [physics.flu-yn] 8 May 2014 Kiyoshi Maruyama Department of Earth an Ocean Sciences, National Defense Acaemy, Yokosuka, Kanagawa
More informationReal-time economic optimization for a fermentation process using Model Predictive Control
Downloae from orbit.tu.k on: Nov 5, 218 Real-time economic optimization for a fermentation process using Moel Preictive Control Petersen, Lars Norbert; Jørgensen, John Bagterp Publishe in: Proceeings of
More informationTotal Energy Shaping of a Class of Underactuated Port-Hamiltonian Systems using a New Set of Closed-Loop Potential Shape Variables*
51st IEEE Conference on Decision an Control December 1-13 212. Maui Hawaii USA Total Energy Shaping of a Class of Uneractuate Port-Hamiltonian Systems using a New Set of Close-Loop Potential Shape Variables*
More informationModelling of Three Phase Short Circuit and Measuring Parameters of a Turbo Generator for Improved Performance
Moelling of Three Phase Short Circuit an Measuring Parameters of a Turbo Generator for Improve Performance M. Olubiwe, S. O. E. Ogbogu, D. O. Dike, L. Uzoechi Dept of Electrical an Electronic Engineering,
More informationII. First variation of functionals
II. First variation of functionals The erivative of a function being zero is a necessary conition for the etremum of that function in orinary calculus. Let us now tackle the question of the equivalent
More informationInvestigation of local load effect on damping characteristics of synchronous generator using transfer-function block-diagram model
ORIGINAL ARTICLE Investigation of local loa effect on amping characteristics of synchronous generator using transfer-function block-iagram moel Pichai Aree Abstract of synchronous generator using transfer-function
More information05 The Continuum Limit and the Wave Equation
Utah State University DigitalCommons@USU Founations of Wave Phenomena Physics, Department of 1-1-2004 05 The Continuum Limit an the Wave Equation Charles G. Torre Department of Physics, Utah State University,
More informationLie symmetry and Mei conservation law of continuum system
Chin. Phys. B Vol. 20, No. 2 20 020 Lie symmetry an Mei conservation law of continuum system Shi Shen-Yang an Fu Jing-Li Department of Physics, Zhejiang Sci-Tech University, Hangzhou 3008, China Receive
More informationCONSERVATION PROPERTIES OF SMOOTHED PARTICLE HYDRODYNAMICS APPLIED TO THE SHALLOW WATER EQUATIONS
BIT 0006-3835/00/4004-0001 $15.00 200?, Vol.??, No.??, pp.?????? c Swets & Zeitlinger CONSERVATION PROPERTIES OF SMOOTHE PARTICLE HYROYNAMICS APPLIE TO THE SHALLOW WATER EQUATIONS JASON FRANK 1 an SEBASTIAN
More informationEvent based Kalman filter observer for rotary high speed on/off valve
28 American Control Conference Westin Seattle Hotel, Seattle, Washington, USA June 11-13, 28 WeC9.6 Event base Kalman filter observer for rotary high spee on/off valve Meng Wang, Perry Y. Li ERC for Compact
More informationComputing Exact Confidence Coefficients of Simultaneous Confidence Intervals for Multinomial Proportions and their Functions
Working Paper 2013:5 Department of Statistics Computing Exact Confience Coefficients of Simultaneous Confience Intervals for Multinomial Proportions an their Functions Shaobo Jin Working Paper 2013:5
More informationPD Controller for Car-Following Models Based on Real Data
PD Controller for Car-Following Moels Base on Real Data Xiaopeng Fang, Hung A. Pham an Minoru Kobayashi Department of Mechanical Engineering Iowa State University, Ames, IA 5 Hona R&D The car following
More informationConservation laws a simple application to the telegraph equation
J Comput Electron 2008 7: 47 51 DOI 10.1007/s10825-008-0250-2 Conservation laws a simple application to the telegraph equation Uwe Norbrock Reinhol Kienzler Publishe online: 1 May 2008 Springer Scienceusiness
More informationConservation Laws. Chapter Conservation of Energy
20 Chapter 3 Conservation Laws In orer to check the physical consistency of the above set of equations governing Maxwell-Lorentz electroynamics [(2.10) an (2.12) or (1.65) an (1.68)], we examine the action
More informationElectromagnet Gripping in Iron Foundry Automation Part II: Simulation
www.ijcsi.org 238 Electromagnet Gripping in Iron Founry Automation Part II: Simulation Rhythm-Suren Wahwa Department of Prouction an Quality Engineering, NTNU Tronheim, 7051, Norway Abstract This paper
More informationSliding mode approach to congestion control in connection-oriented communication networks
JOURNAL OF APPLIED COMPUTER SCIENCE Vol. xx. No xx (200x), pp. xx-xx Sliing moe approach to congestion control in connection-oriente communication networks Anrzej Bartoszewicz, Justyna Żuk Technical University
More informationVehicle Stability Improvement Based on Electronic Differential Using Sliding Mode Control
7th WSEAS International Conference on Electric Power Systems, High Voltages, Electric Machines, Venice, Italy, November 1-3, 007 331 Vehicle Stability Improvement Base on Electronic Differential Using
More informationAPPPHYS 217 Thursday 8 April 2010
APPPHYS 7 Thursay 8 April A&M example 6: The ouble integrator Consier the motion of a point particle in D with the applie force as a control input This is simply Newton s equation F ma with F u : t q q
More informationDynamic Load Carrying Capacity of Spatial Cable Suspended Robot: Sliding Mode Control Approach
Int J Avance Design an Manufacturing echnology, Vol. 5/ No. 3/ June - 212 73 Dynamic Loa Carrying Capacity of Spatial Cable Suspene Robot: Sliing Moe Control Approach M. H. Korayem Department of Mechanical
More informationinflow outflow Part I. Regular tasks for MAE598/494 Task 1
MAE 494/598, Fall 2016 Project #1 (Regular tasks = 20 points) Har copy of report is ue at the start of class on the ue ate. The rules on collaboration will be release separately. Please always follow the
More informationNested Saturation with Guaranteed Real Poles 1
Neste Saturation with Guarantee Real Poles Eric N Johnson 2 an Suresh K Kannan 3 School of Aerospace Engineering Georgia Institute of Technology, Atlanta, GA 3332 Abstract The global stabilization of asymptotically
More informationTransmission Line Matrix (TLM) network analogues of reversible trapping processes Part B: scaling and consistency
Transmission Line Matrix (TLM network analogues of reversible trapping processes Part B: scaling an consistency Donar e Cogan * ANC Eucation, 308-310.A. De Mel Mawatha, Colombo 3, Sri Lanka * onarecogan@gmail.com
More information. ISSN (print), (online) International Journal of Nonlinear Science Vol.6(2008) No.3,pp
. ISSN 1749-3889 (print), 1749-3897 (online) International Journal of Nonlinear Science Vol.6(8) No.3,pp.195-1 A Bouneness Criterion for Fourth Orer Nonlinear Orinary Differential Equations with Delay
More informationPARALLEL-PLATE CAPACITATOR
Physics Department Electric an Magnetism Laboratory PARALLEL-PLATE CAPACITATOR 1. Goal. The goal of this practice is the stuy of the electric fiel an electric potential insie a parallelplate capacitor.
More informationLeast-Squares Regression on Sparse Spaces
Least-Squares Regression on Sparse Spaces Yuri Grinberg, Mahi Milani Far, Joelle Pineau School of Computer Science McGill University Montreal, Canaa {ygrinb,mmilan1,jpineau}@cs.mcgill.ca 1 Introuction
More informationA Novel Unknown-Input Estimator for Disturbance Estimation and Compensation
A Novel Unknown-Input Estimator for Disturbance Estimation an Compensation Difan ang Lei Chen Eric Hu School of Mechanical Engineering he University of Aelaie Aelaie South Australia 5005 Australia leichen@aelaieeuau
More informationDeriving ARX Models for Synchronous Generators
Deriving AR Moels for Synchronous Generators Yangkun u, Stuent Member, IEEE, Zhixin Miao, Senior Member, IEEE, Lingling Fan, Senior Member, IEEE Abstract Parameter ientification of a synchronous generator
More informationAdaptive Predictive Control with Controllers of Restricted Structure
Aaptive Preictive Control with Controllers of Restricte Structure Michael J Grimble an Peter Martin Inustrial Control Centre University of Strathclye 5 George Street Glasgow, G1 1QE Scotlan, UK Abstract
More informationTHE VAN KAMPEN EXPANSION FOR LINKED DUFFING LINEAR OSCILLATORS EXCITED BY COLORED NOISE
Journal of Soun an Vibration (1996) 191(3), 397 414 THE VAN KAMPEN EXPANSION FOR LINKED DUFFING LINEAR OSCILLATORS EXCITED BY COLORED NOISE E. M. WEINSTEIN Galaxy Scientific Corporation, 2500 English Creek
More informationNumerical Integrator. Graphics
1 Introuction CS229 Dynamics Hanout The question of the week is how owe write a ynamic simulator for particles, rigi boies, or an articulate character such as a human figure?" In their SIGGRPH course notes,
More information6 General properties of an autonomous system of two first order ODE
6 General properties of an autonomous system of two first orer ODE Here we embark on stuying the autonomous system of two first orer ifferential equations of the form ẋ 1 = f 1 (, x 2 ), ẋ 2 = f 2 (, x
More informationDAMAGE DETECTIONS IN NONLINEAR VIBRATING THERMALLY LOADED STRUCTURES 1
11 th National Congress on Theoretical an Applie Mechanics, 2-5 Sept. 2009, Borovets, Bulgaria DAMAGE DETECTIONS IN NONLINEAR VIBRATING THERMALLY LOADED STRUCTURES 1 E. MANOACH Institute of Mechanics,
More informationVIRTUAL STRUCTURE BASED SPACECRAFT FORMATION CONTROL WITH FORMATION FEEDBACK
AIAA Guiance, Navigation, an Control Conference an Exhibit 5-8 August, Monterey, California AIAA -9 VIRTUAL STRUCTURE BASED SPACECRAT ORMATION CONTROL WITH ORMATION EEDBACK Wei Ren Ranal W. Bear Department
More informationThermal conductivity of graded composites: Numerical simulations and an effective medium approximation
JOURNAL OF MATERIALS SCIENCE 34 (999)5497 5503 Thermal conuctivity of grae composites: Numerical simulations an an effective meium approximation P. M. HUI Department of Physics, The Chinese University
More informationarxiv: v1 [math.oc] 2 Jan 2019
Noname manuscript No. will be inserte by the eitor Optimal control of compressor stations in a couple gas-to-power network Eike Fokken Simone Göttlich Oliver Kolb arxiv:191.5v1 [math.oc] Jan 19 the ate
More informationThe total derivative. Chapter Lagrangian and Eulerian approaches
Chapter 5 The total erivative 51 Lagrangian an Eulerian approaches The representation of a flui through scalar or vector fiels means that each physical quantity uner consieration is escribe as a function
More informationReactive Power Compensation in Mechanical Systems
Reactive Power Compensation in Mechanical Systems Carlos Rengifo, Bassel Kaar, Yannick Aoustin, Christine Chevallereau To cite this version: Carlos Rengifo, Bassel Kaar, Yannick Aoustin, Christine Chevallereau.
More informationSome Remarks on the Boundedness and Convergence Properties of Smooth Sliding Mode Controllers
International Journal of Automation an Computing 6(2, May 2009, 154-158 DOI: 10.1007/s11633-009-0154-z Some Remarks on the Bouneness an Convergence Properties of Smooth Sliing Moe Controllers Wallace Moreira
More information4. Important theorems in quantum mechanics
TFY4215 Kjemisk fysikk og kvantemekanikk - Tillegg 4 1 TILLEGG 4 4. Important theorems in quantum mechanics Before attacking three-imensional potentials in the next chapter, we shall in chapter 4 of this
More informationTable of Common Derivatives By David Abraham
Prouct an Quotient Rules: Table of Common Derivatives By Davi Abraham [ f ( g( ] = [ f ( ] g( + f ( [ g( ] f ( = g( [ f ( ] g( g( f ( [ g( ] Trigonometric Functions: sin( = cos( cos( = sin( tan( = sec
More informationθ x = f ( x,t) could be written as
9. Higher orer PDEs as systems of first-orer PDEs. Hyperbolic systems. For PDEs, as for ODEs, we may reuce the orer by efining new epenent variables. For example, in the case of the wave equation, (1)
More informationProblems Governed by PDE. Shlomo Ta'asan. Carnegie Mellon University. and. Abstract
Pseuo-Time Methos for Constraine Optimization Problems Governe by PDE Shlomo Ta'asan Carnegie Mellon University an Institute for Computer Applications in Science an Engineering Abstract In this paper we
More informationCUSTOMER REVIEW FEATURE EXTRACTION Heng Ren, Jingye Wang, and Tony Wu
CUSTOMER REVIEW FEATURE EXTRACTION Heng Ren, Jingye Wang, an Tony Wu Abstract Popular proucts often have thousans of reviews that contain far too much information for customers to igest. Our goal for the
More informationensembles When working with density operators, we can use this connection to define a generalized Bloch vector: v x Tr x, v y Tr y
Ph195a lecture notes, 1/3/01 Density operators for spin- 1 ensembles So far in our iscussion of spin- 1 systems, we have restricte our attention to the case of pure states an Hamiltonian evolution. Toay
More informationResearch Article Numerical Analysis of Inhomogeneous Dielectric Waveguide Using Periodic Fourier Transform
Microwave Science an Technology Volume 2007, Article ID 85181, 5 pages oi:10.1155/2007/85181 Research Article Numerical Analysis of Inhomogeneous Dielectric Waveguie Using Perioic Fourier Transform M.
More information