INPUT SHAPING FILTERS FOR THE CONTROL OF ELECTRICAL DRIVE WITH FLEXIBLE LOAD
|
|
- Frederica Mosley
- 5 years ago
- Views:
Transcription
1 INPUT SHAPING FILTERS FOR THE CONTROL OF ELECTRICAL DRIVE WITH FLEXIBLE LOAD Goubej Martin, Skarda Radek and Schlegel Milo Deartment of Cybernetic, Unierity of Wet Bohemia in Pilen, Unierzitni 8, 36, Pilen, Czech Reublic fax : and cybernet@kky.zcu.cz Abtract: Thi aer deal with control of flexible mechanical ytem. The goal i to modify the inut ignal in order to minimize the reidual ibration excited during a motion of a ytem with flexible art. The filter i deigned in the time domain ia imule function analyi. Poible alication of the rooed olution i demontrated on two examle of flexible ytem - control of a with hanging and an electrical ero drie with attached flexible haft. The effect of nonlinearitie in the ignal ath caued by aturation of the ero loo controller i tudied. Variou oibilitie for the lacement of the filter are dicued. Keyword: Reidual ibration control, inut haing, with, flexible haft, motion control. INTRODUCTION The control of flexible tructure ytem uch a or robotic maniulator introduce eriou roblem with reidual ibration. Thee motioninduced ocillation are caued by the flexible art of the ytem and need to be attenuated in order to obtain recie behaior of the controlled ytem. Generally, there are three oible aroache to ure the unwanted ibration. Thee include mechanical daming, actie feedback control, oen-loo filtering method and their ariou combination. Mechanical comonent uch a ilent-block or ring-damer module can be introduced into machine deign in order to increae the tiffne of the contruction. Howeer, it i difficult to redict a dynamical behaior of the machine in the hae of deign; moreoer, mechanical damer are difficult to tune and mean additional exene. Cloed-loo actie daming method can achiee ery good reult becaue of the feedback, which uree nonlinearitie of the ytem and uncertainty in the mathematical model (Schlegel and Vecerek (3)), (Mertl et al. ()). The main diadantage of thi aroach i the neceity of feedback enor, comlicated controller deign and higher comutational cot. On the other hand, the oen-loo filtering method ue relatiely imle algorithm to modify the inut command in the feed forward ath in uch a way that the reulting inut ignal led to the ytem doe not excite the unwanted tranient and reidual ocillation. The adantage i imle deign and abence of feedback enor on the lant. The main drawback i the reduced robutne againt uncertainty in the ytem model reulting from oen-loo aroach. Thi aer deal with the lat mentioned aroach and ue o called Zero Vibration filter (ZV filter) (Singer and Seering (99)) for command haing of flexible tructure ytem (Huey et al. (7)), (Chen et al. (8)), (Sorenen and Singhoe (8)). The theory i alied to the roblem of the motion control of electrical ero drie with attached with or flexible haft.
2 . INPUT SHAPING FILTER DESIGN A general n-ule inut haing filter can be decribed in the form of imule function: n IS(t) = A i δ(t t i ), t < t i+, A i () i= Where A i mean amlitude of the i-th ule and δ i dirac function with t i time hift Reone of the haer in time domain can be determined by conolution with continuou inut ignal: (t) = = = h(τ)u(t τ)dτ ( n ) A i δ(τ t i ) u(t τ)dτ i= n A i w(t t i ) i= () It can be een, that the filter ha the form of um of time delayed alue of the inut weighted by coefficient A i. The original inut command i conoluted with the inut haer and the reulting ignal i then led to the controlled ytem. Thi ituation i illutrated in Fig.. The imule reone of erial connection of IS() and P () ha the form h(t) = A h (t t ) (t t )+A h (t t ) (t t ) (6) (t) i Heaid function. For time t > t, it hold y(t) = A h (t t ) + A h (t t ) ω = e ξωt C + S in(ω d t ψ) ξ C = S = A i e ξωti co(ω d t i ) i= A i e ξωti in(ω d t i ) i= ψ = arctan S C (7) (8) It can be een, that for minimizing the leel of reidual ibration after the econd ule, the following exreion ha to be fulfilled C + S = (9) By ubtituting (8) to (9), we obtain a nonlinear equation for A i and t i, i =,. With roer choice of alue t =, t = π ω d () the equation can be reduced to the condition ( A A e ξω π ω d ) = () Fig.. Reone of the ytem without and with ZV filter. The goal of the filter deign i to chooe the alue of amlitude A i and time delay t i uch that after the lat ule ha been led to the ytem, the amlitude of excited reidual ibration i equal to zero. The deign rocedure will be illutrated for - ule ZV filter and econd-order ytem. Conider linear ytem decribed by tranfer function ω P () = + ξω + ω (3) with imule function ω h (t) = ξ e tξω in(ω d t) () and two-ule haer with imule function IS(t) = A δ(t t ) + A δ(t t ) () Next, we get the econd condition becaue of a requirement of the unit tatic gain of the filter A + A = () By oling the algebraic equation () and () we get arameter of the filter: A = + K, A = K + K K = e ξπ ξ t =, t = π ω d, ω d = ω ξ (3) It can be hown that thoe alue are alid alo for the ytem with tranfer function in the form P () = τ + ω + ξω + ω () For the roer function of the ZV filter, the exact alue of natural frequency and daming coefficient of the ocillatory art of the ytem ha to be
3 known. The error in the ytem model reult in non-zero reidual ocillation. If the model of the ytem cannot be determined exactly, more robut erion of the haer can be deigned by adding additional condition. [ C + S ] = () ω The reulting three-te haer i o called Zero Vibration Deriatie (ZVD) filter and achiee le enitiity with reect to arameter ariation at the cot of lower etoint reone of the ytem. _ Kfi _ Po.control Seed control Ki Gain K Gain Integrator i* i Current control Fig.. Schematic of the electrical ero drie in Simulink. u(t) te ZV haer A Gain 3 _a T.+ y(t) Kt Gain 3 Mz 3. CRANE WITH LOAD Tranort Delay t A Gain Fig.. Schematic of -te ZV filter in Simulink. Fig.. Schematic of the and ibration of it. * InOut ZV IS _a CRANE /M Ma a Friction coeff. Integrator Integrator Tau.+Om^ +*Ki*Om+Om^ LOAD Integrator Scoe modeled a the firt order ytem, the eed and oition control i realized uing tandard PI and P controller. The ero ytem contain alo the feed forward inut for lanned trajectory following. A human oerator et the deired oition of the. Without uing an inut haing filter, the motion of the induce the reidual ibration of the (Fig. 6). The winging can hit ome obtacle and an oerating eronnel ha to wait before the ocillation dam out and they can continue with a maniulation. Uing the ZV inut haer (Fig. ), the oerator command leading to the ero drie i filtered (Fig. 7) and the reulting moement doe not excite the ocillatory dynamic of the (Fig. 8). B Fig. 3. Schematic of the with electrical drie in Simulink. Moement of the without inut haer * Conider an electrical drien cargo with hanging (Fig. ). Such a ytem i deicted in block diagram in Fig. 3. It conit of electrical art of the drie with oition and elocity feedback and an ocillatory econd order ytem decribed by tranfer function P () = V l() V c () = τ + ω + ξω + ω (6) ω, ξ are natural frequency and daming of the ytem, V c i the eed of the, V l i the angular eed of the hanging The ytem (6) decribe the relationhi between motion of the and it. The force acting on the caued by the moement of the are omitted with reect to the ratio of it ma. The ubytem of the drie conit of three control loo in commonly ued cacade tructure (Fig. ). The dynamic of the current loo i & oition t[] Fig. 6. Moement of the without ZV-filter. The great benefit of the rooed technique i, that haer deign can be made for the econd order ytem of the winging and it filtering roertie tay unchanged een after aing through the dynamic of the ero drie. Howeer, thi reumtion i alid only in the cae, that all the control loo of the drie work in the linear mode. If any of the controller hit the aturation limit, the original filtered command ignal
4 inut command 8 6 Inut command haing original command ZV filter haed command t[] Fig. 7. Comarion of the original and haed command ignal. & oition 8 6 Moement of the with ZV IS * t[] the ret-to-ret moement with reect to limitation for elocity, acceleration and deceleration (otionally alo with contraint for deriatie of acceleration and deceleration). The ignal of deired oition, elocity and acceleration led to the feed forward inut of the ero controller enure the correct tracking of the lanned trajectory and alo reent the aturation effect. Thi configuration i dilayed in Fig.. The block AVS comute the deired trajectory, which i led to the ero drie controller. The inut haer deign remain the ame, the filter ha to be laced before all of the ero control inut. Reone of the ytem can be een in Fig.. There are no reidual ibration een in the reence of nonlinearitie in the ero control loo. All the controller work in the linear mode, becaue of trajectory lanning block. The reulting trajectory of the moement i no more time-otimal, neerthele, it i ubotimal with reect to the demand for attenuation of winging ibration. The imortant notice i that the filtered trajectory ignal doe not iolate the default contraint for elocity, acceleration and deceleration due to the unity gain of the filter. Figure how the difference between t-otimal and real cure of oition, elocity and acceleration. The reented examle can be reduced eaily to the cae, only the elocity of the and hould be controlled. Fig. 8. Moement of the with ZV-filter. i corruted and the reult i non-zero amlitude of the excited reidual ibration. Thi ituation i deicted in Fig. 9, aturation ha been laced to the current control loo. It can be een, that the ibration ha not been canceled out comletely due to the nonlinearity in the drie control loo. ZV inut haer with aturated ero controller * * * AVS a TRAJECTORY GENERATOR ZV FILTERS In Out ZV IS In Out ZV IS In Out ZV IS3 _a CRANE /M Ma Friction coeff. a Integrator Integrator Tau.+Om^ +*Ki*Om+Om^ LOAD Integrator Fig.. Schematic of the with electrical drie and t-otimal trajectory generator (block AVS) in Simulink. B Scoe & oition 8 6 oition Filtered t otimal trajectory t otimal trajectory haed trajectory elocity t[] Fig. 9. Moement of the with ZV-filter and aturated ero controller. A oible olution of thi roblem i to add an uerior ytem for trajectory lanning. After the human oerator et a new deired oition, thi block comute the time otimal trajectory for acceleration t[] Fig.. T-otimal and ZV filtered trajectory for the.
5 & oition & oition T otimal moement with ZV haer T otimal moement without inut haer * t[] Fig.. Comarion of the time-otimal and timeotimal ZV filtered trajectory of. * * AVS a TRAJECTORY GENERATOR ZV FILTERS In Out ZV IS In Out ZV IS In Out ZV IS3 [] From [] From _a T /J Gain 3 DRIVE SHAFT /J Gain Gain B B Gain DRIVE LOAD Integrator FLEXIBLE JOINT Integrator Integrator Integrator 3 Fig.. Schematic of the flexible haft with the electrical drie and ZV filter in Simulink. be deried from the block cheme (Fig. ). The dynamic of the current loo can be omitted, becaue the electrical time contant of the drie i negligible with reect to mechanical time contant of the whole ytem. K [] Goto [] Goto θ () () = num() den() (8) Fig. 3. Schematic of the flexible haft.. FLEXIBLE SHAFT Conider a ytem coniting of electrical drie from the reiou examle and attached flexible haft (Fig. 3). Dynamic of the ytem can be decribed by the et of two equation J θ + B θ = T K(θ θ ) J θ + B θ = K(θ θ ) (7) J, J are moment of inertia of the motor and the haft B, B are coefficient of daming K i torion ring contant T i torque θ, θ are angular dilacement of motor and the haft The goal of the control ytem i to control the oition of the haft without exciting the reidual ibration on the flexible end. Here, the deign of the filter i not o traightforward a in the reiou cae. The back roagation of the torque from the end of the haft to the drie can not be omitted analogouly to the. The entire ytem including the drie and flexible feedback ha to be analyzed in order to find the frequencie, which hae to be attenuated. Tranfer function between etoint command and angle of the flexible end of the haft can and num() = KK θ K t K + KK θ K t K I den() = J J + (B J + J [K t K + B ]) + [KJ + B (K t K + B ) + J (K t K I + K θ K t K + K)] 3 + [K(K t K + B ) + J KθK t K I + B (K t K I + K θ K t K + K)] + [K(K t K I + K θ K t K + K) + B K θ K t K I K ] + KK θ K t K I K t, K P, K I, K θ are arameter of controller i oition etoint From the obtained tranfer function, the location of the ole can be analyzed. For the tyical configuration of the arameter, ero control loo are et to achiee table etoint reone without oerhoot and reumtion of J > J, the reulting ytem ha two air of ocillatory ole and one table real ole. In mot cae, only the lower ole air lying cloer to the imaginary axi need to be canceled out by the filter. The natural frequency and daming can be eaily comuted from the location of the ole. Next, the ZV filter can be deigned. If the econd air of ocillatory ole till caue unaccetable leel of ibration, a econd ZV filter for fater ole can be added and erial-connected to the firt one. The roblem with nonlinearitie in the control loo due to aturation of ero controller remain the ame and alo the olution i identical to the - roblem. For the roer function of the filter, trajectory lanning block hould be added
6 to atify the demand for the linear function of the ero loo controller. ability to ure the meaurement noie (Huey et al. (7)). drie&haft oition drie&haft oition Flexible haft control drie oition flexible haft oition command t[] & oition & oition ZV haer in the cloed loo * t[] Fig.. Comarion of the flexible haft moement without and with ZV filter. Figure how the reult of flexible haft control. Figure on the to illutrate the control without the inut haer, the lower one with the ZV filter. Uing the filter, the ibration ha been comletely canceled out.. SHAPING FILTER IN THE CLOSED LOOP _ Kfi Po.control _ Seed control Ki K Gain Gain 3 _a Integrator i* i inut filter Artifical aturation InOut ZV IS Real aturation T.+ Current control Fig. 6. Schematic of ero loo controller with ZV filter. The inut haing filter can be laced alo in the cloed loo of the ero drie. The mot uitable oition for the filter i the eed controller loo (Fig. 6). The adantage of thi aroach i, that the aturation effect of the oition and eed loo doe not affect the filtering roertie of the haer. For eery real electrical drie, the current loo contain aturation limit due to the limited uly oltage of the ower inerter. Therefore, the alue of the maximal current that the inerter i able to delier to the motor i limited. Thi maximal alue change with actual rotational eed of the drie becaue of the back electromotie-force acting againt the ower uly. For the roer function of the filter, an artificial aturation block hould be laced before the filter (Fig. 6). The aturation limit hould be choen in uch a way that the outut of the filter neer hit the limit of the real aturation of the current loo. Thi enure that the frequency band of the ignal remain unaffected and the reulting motion of the drie doe not excite the ibration of the flexible. Next, there exit ome tudie indicating the Kt Gain 3 Fig. 7. Sytem reone a) without ZV filter b) with ZV filter in cloed loo. The main drawback i that the inertion of the filter introduce an additional dynamic, which can affect the behaior of the cloed loo. For the large natural frequencie, which hae to be attenuated, the delay of the filter can be mall with reect to the dynamic of the drie. Smaller alue of the natural frequency mean lower filter, which ha to be taken into account while tuning the loo controller. The effect of the filter inide the cloed loo i illutrated in the (Fig. 7). The figure on the to rereent the moement of the with without the inut haer. The drie controller are tuned in order to achiee fat etoint reone without oition oerhoot. After introducing the filter to the cloed loo, the oerall dynamic of the drie ha changed and the reult i the ocillatory moement of the a dilayed in the lower figure. Een if the drie doe not excite the reidual ibration of the hanging, the controller need to be re-tuned in order to achiee deired etoint reone. The integration of the filter inide the cloed loo can caue een the untable dynamic. It can be aumed that by adding an additional delay to the ytem, the oerall dynamic of the cloed loo become wore. 6. CONCLUSION Thi aer reent the alication of the inut haing filter to the control of electrical ero drie with attached flexible. The goal i to minimize any tranient and reidual ibration induced by the moement of the drie. Firtly, the Zero Vibration filter i deried. The next art reent it utilization for the control of a with hanging and a drie with attached flexible haft. The reult how ignificant imroement of the cloed loo behaior and attenuation
7 of the unwanted ocillation. The ZV filter can be eaily imlemented in a real time control ytem and ome tudie how it better erformance comared to conentional notch filter (Huey et al. (7)). In the cae of model uncertainty, more robut filter erion can be deigned at the cot of increaing the delay of the filter. Next, the effect of aturation of the ero loo controller i dicued and the olution i rooed by adding a trajectory lanning block. The lat art deal with the oibility of lacing the filter inide the cloed loo of the drie. The adantage and drawback of thi aroach are dicued. Parameter of ero drie controller (8) K ϕ = K = 3 K t = K I =. Reference K-S Chen, T-S Yang, K-S Ou, and J-F Yin. Deign of command haer for reidual ibration ureion in duffing nonlinear ytem. Mechatronic, 8. doi:.6/j.mechatronic J.R. Huey, K.L. Sorenen, and W.E. Singhoe. Ueful alication of cloed-loo ignal haing controller. Control Engineering Practice, 6: , 7. J. Mertl, M. Schlegel, M. Cech, and P. Balda. Aktini tlumeni ibraci loatek aerodynamickem tunelu. M. Schlegel and O. Vecerek. Samonataujici e regulator ro elmi labe tlumené ytemy N.C. Singer and W.P. Seering. Prehaing command imut to reduce ytem ibration. Journal of Dynamic Sytem, Meaurment and Control, :76 8, 99. K.L. Sorenen and W.E. Singhoe. Commandinduced ibration analyi uing inut haing rincile. Automatica, :39 397, 8. APPENDIX Parameter of with model (6) ω n = rad ξ =. τ =. M = kg Parameter of flexible haft model (7) J = kg m J = kg m K =. B, B =.
Figure 1 Siemens PSSE Web Site
Stability Analyi of Dynamic Sytem. In the lat few lecture we have een how mall ignal Lalace domain model may be contructed of the dynamic erformance of ower ytem. The tability of uch ytem i a matter of
More informationDesign of Two-Channel Low-Delay FIR Filter Banks Using Constrained Optimization
contrained otimization, CIT Journal of Comuting and Information Technology, vol. 8, no 4,. 34 348, 2. Deign of Two-Channel Low-Delay FIR Filter Bank Uing Contrained Otimization Abtract Robert Bregović
More informationMANUFACTURING TOLERANCES AS A CAUSE FOR AUDIBLE NOISE OF INDUCTION MOTORS
MANUFACTURING TOLERANCES AS A CAUSE FOR AUDIBLE NOISE OF INDUCTION MOTORS Delaere K., Franen J., Hameyer K., Belman R. Katholieke Univeriteit Leuven, De. EE (ESAT) Div. ELEN, Kardinaal Mercierlaan 94,
More informationSystems Analysis. Prof. Cesar de Prada ISA-UVA
Sytem Analyi Prof. Cear de Prada ISAUVA rada@autom.uva.e Aim Learn how to infer the dynamic behaviour of a cloed loo ytem from it model. Learn how to infer the change in the dynamic of a cloed loo ytem
More informationOperational transconductance amplifier based voltage-mode universal filter
Indian Journal of Pure & Alied Phyic ol. 4, etember 005,. 74-79 Oerational tranconductance amlifier baed voltage-mode univeral filter Naeem Ahmad & M R Khan Deartment of Electronic and Communication Engineering,
More informationCHAPTER 5. The Operational Amplifier 1
EECE22 NETWORK ANALYSIS I Dr. Charle J. Kim Cla Note 9: Oerational Amlifier (OP Am) CHAPTER. The Oerational Amlifier A. INTRODUCTION. The oerational amlifier or o am for hort, i a eratile circuit building
More informationUSE OF INTERNET TO DO EXPERIMENTS IN DYNAMICS AND CONTROL FROM ZACATECAS MEXICO IN THE LABORATORY OF THE UNIVERSITY OF TENNESSEE AT CHATANOOGAA.
USE OF INTERNET TO DO EXPERIMENTS IN DYNAMICS AND CONTROL FROM ZACATECAS MEXICO IN TE LABORATORY OF TE UNIVERSITY OF TENNESSEE AT CATANOOGAA. Jim enry *, Joé Alberto González Guerrero, Benito Serrano Roale..
More informationAnalysis the Transient Process of Wind Power Resources when there are Voltage Sags in Distribution Grid
Analyi the Tranient Proce of Wind Power Reource when there are Voltage Sag in Ditribution Grid Do Nhu Y 1,* 1 Hanoi Univerity of ining and Geology, Deartment of Electrification, Electromechanic Faculty,
More informationDESIGN AND ANALYSIS OF FLEXIBLE STRUCTURES WITH PARAMETRIC UNCERTAINTIES FOR ACTIVE VIBRATION CONTROL USING ANSYS
INTERNATIONAL JOURNAL OF R&D IN ENGINEERING, SCIENCE AND MANAGEMENT Vol.1, Iue I, AUG.14 ISSN 9-85X Reearch Paer DESIGN AND ANALYSIS OF FLEXIBLE STRUCTURES WITH PARAMETRIC UNCERTAINTIES FOR ACTIVE VIBRATION
More informationRADIATION THERMOMETRY OF METAL IN HIGH TEMPERATURE FURNACE
XVII IMEKO World Congre Metrology in the 3rd Millennium June 22 27, 2003, Dubrovnik, Croatia RADIATION THERMOMETRY OF METAL IN HIGH TEMPERATURE FURNACE Tohru Iuchi, Tohru Furukawa and Nobuharu Sato Deartment
More informationROOT LOCUS. Poles and Zeros
Automatic Control Sytem, 343 Deartment of Mechatronic Engineering, German Jordanian Univerity ROOT LOCUS The Root Locu i the ath of the root of the characteritic equation traced out in the - lane a a ytem
More informationEE 4443/5329. LAB 3: Control of Industrial Systems. Simulation and Hardware Control (PID Design) The Inverted Pendulum. (ECP Systems-Model: 505)
EE 4443/5329 LAB 3: Control of Indutrial Sytem Simulation and Hardware Control (PID Deign) The Inverted Pendulum (ECP Sytem-Model: 505) Compiled by: Nitin Swamy Email: nwamy@lakehore.uta.edu Email: okuljaca@lakehore.uta.edu
More informationOVERSHOOT FREE PI CONTROLLER TUNING BASED ON POLE ASSIGNMENT
OVERSHOO FREE PI CONROER UNING BASED ON POE ASSIGNMEN Nevra Bayhan * Mehmet uran Söylemez ** uğba Botan ** e-mail: nevra@itanbul.edu.tr e-mail: oylemez@el.itu.edu.tr e-mail: botan@itu.edu.tr * Itanbul
More informationLecture 8. PID control. Industrial process control ( today) PID control. Insights about PID actions
Lecture 8. PID control. The role of P, I, and D action 2. PID tuning Indutrial proce control (92... today) Feedback control i ued to improve the proce performance: tatic performance: for contant reference,
More informationLecture 10. Erbium-doped fiber amplifier (EDFA) Raman amplifiers Have replaced semiconductor optical amplifiers in the course
ecture 1 Two tye of otical amlifier: Erbium-doed fiber amlifier (EDFA) Raman amlifier Have relaced emiconductor otical amlifier in the coure Fiber Otical Communication ecture 1, Slide 1 Benefit and requirement
More informationx with A given by (6.2.1). The control ( ) ( )
Homework 5 Sring 9 AerE33 Due 4/(F) SOLUTION PROBLEM (3t) In thi roblem we will invetigate the longitudinal dynamic of the B747 airlane a decribed in Etkin 66 The tate model i x Ax Bu where the tate vector
More informationECSE 4440 Control System Engineering. Project 1. Controller Design of a Second Order System TA
ECSE 4440 Control Sytem Enineerin Project 1 Controller Dein of a Secon Orer Sytem TA Content 1. Abtract. Introuction 3. Controller Dein for a Sinle Penulum 4. Concluion 1. Abtract The uroe of thi roject
More informationSolutions. Digital Control Systems ( ) 120 minutes examination time + 15 minutes reading time at the beginning of the exam
BSc - Sample Examination Digital Control Sytem (5-588-) Prof. L. Guzzella Solution Exam Duration: Number of Quetion: Rating: Permitted aid: minute examination time + 5 minute reading time at the beginning
More informationLecture 4. Chapter 11 Nise. Controller Design via Frequency Response. G. Hovland 2004
METR4200 Advanced Control Lecture 4 Chapter Nie Controller Deign via Frequency Repone G. Hovland 2004 Deign Goal Tranient repone via imple gain adjutment Cacade compenator to improve teady-tate error Cacade
More informationDigital Control System
Digital Control Sytem - A D D A Micro ADC DAC Proceor Correction Element Proce Clock Meaurement A: Analog D: Digital Continuou Controller and Digital Control Rt - c Plant yt Continuou Controller Digital
More informationLecture 8 - SISO Loop Design
Lecture 8 - SISO Loop Deign Deign approache, given pec Loophaping: in-band and out-of-band pec Fundamental deign limitation for the loop Gorinevky Control Engineering 8-1 Modern Control Theory Appy reult
More informationLecture 10 Filtering: Applied Concepts
Lecture Filtering: Applied Concept In the previou two lecture, you have learned about finite-impule-repone (FIR) and infinite-impule-repone (IIR) filter. In thee lecture, we introduced the concept of filtering
More informationImproved Adaptive Time Delay Estimation Algorithm Based on Fourth-order Cumulants
Available online www.jocr.com Journal of hemical and Pharmaceutical Reearch, 016, 8(5):889-894 Reearch Article ISSN : 0975-784 ODEN(USA) : JPR5 Imroved Adative Time Delay Etimation Algorithm Baed on Fourth-order
More informationinto a discrete time function. Recall that the table of Laplace/z-transforms is constructed by (i) selecting to get
Lecture 25 Introduction to Some Matlab c2d Code in Relation to Sampled Sytem here are many way to convert a continuou time function, { h( t) ; t [0, )} into a dicrete time function { h ( k) ; k {0,,, }}
More informationControl of Delayed Integrating Processes Using Two Feedback Controllers R MS Approach
Proceeding of the 7th WSEAS International Conference on SYSTEM SCIENCE and SIMULATION in ENGINEERING (ICOSSSE '8) Control of Delayed Integrating Procee Uing Two Feedback Controller R MS Approach LIBOR
More information5.5 Application of Frequency Response: Signal Filters
44 Dynamic Sytem Second order lowpa filter having tranfer function H()=H ()H () u H () H () y Firt order lowpa filter Figure 5.5: Contruction of a econd order low-pa filter by combining two firt order
More informationGiven the following circuit with unknown initial capacitor voltage v(0): X(s) Immediately, we know that the transfer function H(s) is
EE 4G Note: Chapter 6 Intructor: Cheung More about ZSR and ZIR. Finding unknown initial condition: Given the following circuit with unknown initial capacitor voltage v0: F v0/ / Input xt 0Ω Output yt -
More informationEnhancement of Robust Tracking Performance via Switching Supervisory Adaptive Control
nhancement of Robut Tracking Performance via Switching Suerviory Adative Control Downloaded from ijeee.iut.ac.ir at 5:43 IRST on Saturday January 5th 9 O. Namaki-Shouhtari* and A. Khaki Sedigh* Abtract:
More informationControl Systems Analysis and Design by the Root-Locus Method
6 Control Sytem Analyi and Deign by the Root-Locu Method 6 1 INTRODUCTION The baic characteritic of the tranient repone of a cloed-loop ytem i cloely related to the location of the cloed-loop pole. If
More informationBogoliubov Transformation in Classical Mechanics
Bogoliubov Tranformation in Claical Mechanic Canonical Tranformation Suppoe we have a et of complex canonical variable, {a j }, and would like to conider another et of variable, {b }, b b ({a j }). How
More informationSensorless speed control including zero speed of non salient PM synchronous drives
BULLETIN OF THE POLISH ACADEMY OF SCIENCES TECHNICAL SCIENCES Vol. 54, No. 3, 2006 Senorle peed control including zero peed of non alient PM ynchronou drive H. RASMUSSEN Aalborg Univerity, Fredrik Bajer
More informationCHAPTER 4 DESIGN OF STATE FEEDBACK CONTROLLERS AND STATE OBSERVERS USING REDUCED ORDER MODEL
98 CHAPTER DESIGN OF STATE FEEDBACK CONTROLLERS AND STATE OBSERVERS USING REDUCED ORDER MODEL INTRODUCTION The deign of ytem uing tate pace model for the deign i called a modern control deign and it i
More informationStability. ME 344/144L Prof. R.G. Longoria Dynamic Systems and Controls/Lab. Department of Mechanical Engineering The University of Texas at Austin
Stability The tability of a ytem refer to it ability or tendency to eek a condition of tatic equilibrium after it ha been diturbed. If given a mall perturbation from the equilibrium, it i table if it return.
More informationSimulation of Wound Rotor Synchronous Machine under Voltage Sags
Simulation of Wound Rotor Synchronou Machine under oltage Sag D. Aguilar, G. azquez, Student Member, IEEE, A. Rolan, Student Member, IEEE, J. Rocabert, Student Member, IEEE, F. Córcole, Member, IEEE, and
More informationS_LOOP: SINGLE-LOOP FEEDBACK CONTROL SYSTEM ANALYSIS
S_LOOP: SINGLE-LOOP FEEDBACK CONTROL SYSTEM ANALYSIS by Michelle Gretzinger, Daniel Zyngier and Thoma Marlin INTRODUCTION One of the challenge to the engineer learning proce control i relating theoretical
More informationLecture 3. Dispersion and waves in cold plasma. Review and extension of the previous lecture. Basic ideas. Kramers-Kronig relations
Lecture 3 Dierion and wave in cold lama Review and extenion of the reviou lecture Baic idea At the reviou lecture, we dicued how to roerly earch for eigenmode (or quai-eigenmode) of a dierive medium. In
More informationMassachusetts Institute of Technology Dynamics and Control II
I E Maachuett Intitute of Technology Department of Mechanical Engineering 2.004 Dynamic and Control II Laboratory Seion 5: Elimination of Steady-State Error Uing Integral Control Action 1 Laboratory Objective:
More informationCHAPTER 8 OBSERVER BASED REDUCED ORDER CONTROLLER DESIGN FOR LARGE SCALE LINEAR DISCRETE-TIME CONTROL SYSTEMS
CHAPTER 8 OBSERVER BASED REDUCED ORDER CONTROLLER DESIGN FOR LARGE SCALE LINEAR DISCRETE-TIME CONTROL SYSTEMS 8.1 INTRODUCTION 8.2 REDUCED ORDER MODEL DESIGN FOR LINEAR DISCRETE-TIME CONTROL SYSTEMS 8.3
More informationGain and Phase Margins Based Delay Dependent Stability Analysis of Two- Area LFC System with Communication Delays
Gain and Phae Margin Baed Delay Dependent Stability Analyi of Two- Area LFC Sytem with Communication Delay Şahin Sönmez and Saffet Ayaun Department of Electrical Engineering, Niğde Ömer Halidemir Univerity,
More informationControl Systems. Root locus.
Control Sytem Root locu chibum@eoultech.ac.kr Outline Concet of Root Locu Contructing root locu Control Sytem Root Locu Stability and tranient reone i cloely related with the location of ole in -lane How
More informationUSING NONLINEAR CONTROL ALGORITHMS TO IMPROVE THE QUALITY OF SHAKING TABLE TESTS
October 12-17, 28, Beijing, China USING NONLINEAR CONTR ALGORITHMS TO IMPROVE THE QUALITY OF SHAKING TABLE TESTS T.Y. Yang 1 and A. Schellenberg 2 1 Pot Doctoral Scholar, Dept. of Civil and Env. Eng.,
More informationControl Systems. Root locus.
Control Sytem Root locu chibum@eoultech.ac.kr Outline Concet of Root Locu Contructing root locu Control Sytem Root Locu Stability and tranient reone i cloely related with the location of ole in -lane How
More informationA Simplified Methodology for the Synthesis of Adaptive Flight Control Systems
A Simplified Methodology for the Synthei of Adaptive Flight Control Sytem J.ROUSHANIAN, F.NADJAFI Department of Mechanical Engineering KNT Univerity of Technology 3Mirdamad St. Tehran IRAN Abtract- A implified
More informationActive Disturbance Rejection Control for an Electro-statically Actuated MEMS Device
INTERNATIONAL JOURNAL OF INTELLIGENT CONTROL AND SYSTEMS VOL.6NO.Setember/December 6-69 Active Diturbance Rejection Control for an Electro-tatically Actuated MEMS Device Lili DONG and Jaon EDWARDS Abtract
More informationA Simple Approach to Synthesizing Naïve Quantized Control for Reference Tracking
A Simple Approach to Syntheizing Naïve Quantized Control for Reference Tracking SHIANG-HUA YU Department of Electrical Engineering National Sun Yat-Sen Univerity 70 Lien-Hai Road, Kaohiung 804 TAIAN Abtract:
More informationSolved problems 4 th exercise
Soled roblem th exercie Soled roblem.. On a circular conduit there are different diameter: diameter D = m change into D = m. The elocity in the entrance rofile wa meaured: = m -. Calculate the dicharge
More informationFractional-Order PI Speed Control of a Two-Mass Drive System with Elastic Coupling
Fractional-Order PI Speed Control of a Two-Ma Drive Sytem with Elatic Coupling Mohammad Amin Rahimian, Mohammad Saleh Tavazoei, and Farzad Tahami Electrical Engineering Department, Sharif Univerity of
More informationLOW ORDER MIMO CONTROLLER DESIGN FOR AN ENGINE DISTURBANCE REJECTION PROBLEM. P.Dickinson, A.T.Shenton
LOW ORDER MIMO CONTROLLER DESIGN FOR AN ENGINE DISTURBANCE REJECTION PROBLEM P.Dickinon, A.T.Shenton Department of Engineering, The Univerity of Liverpool, Liverpool L69 3GH, UK Abtract: Thi paper compare
More informationThe Operational Amplifier
The Operational Amplifier The operational amplifier i a building block of modern electronic intrumentation. Therefore, matery of operational amplifier fundamental i paramount to any practical application
More informationUSEFUL TECHNIQUES FOR FIELD ANALYSTS IN THE DESIGN AND OPTIMIZATION OF LINEAR INDUCTION MOTORS
USEFUL TECHNIQUES FOR FIELD ANALYSTS IN THE DESIGN AND OPTIMIZATION OF LINEAR INDUCTION MOTORS By: K.R. Davey R.C. Zowarka Twelfth Biennial IEEE Conference on Electromagnetic Field Comutation (CEFC 006),
More informationPOWER SYSTEM SMALL SIGNAL STABILITY ANALYSIS BASED ON TEST SIGNAL
POWE YEM MALL INAL ABILIY ANALYI BAE ON E INAL Zheng Xu, Wei hao, Changchun Zhou Zheang Univerity, Hangzhou, 37 PChina Email: hvdc@ceezueducn Abtract - In thi paper, a method baed on ome tet ignal (et
More informationAdvanced D-Partitioning Analysis and its Comparison with the Kharitonov s Theorem Assessment
Journal of Multidiciplinary Engineering Science and Technology (JMEST) ISSN: 59- Vol. Iue, January - 5 Advanced D-Partitioning Analyi and it Comparion with the haritonov Theorem Aement amen M. Yanev Profeor,
More informationDirect Torque Tracking PI-Controller Design for Switched Reluctance Motor Drive using Singular Perturbation Method
Proceeding of the 17th World Congre The International Federation of Automatic Control Direct Torque Tracking PI-Controller Deign for Switched Reluctance Motor Drive uing Singular Perturbation Method Sanjib
More informationDesign By Emulation (Indirect Method)
Deign By Emulation (Indirect Method he baic trategy here i, that Given a continuou tranfer function, it i required to find the bet dicrete equivalent uch that the ignal produced by paing an input ignal
More informationEvolutionary Algorithms Based Fixed Order Robust Controller Design and Robustness Performance Analysis
Proceeding of 01 4th International Conference on Machine Learning and Computing IPCSIT vol. 5 (01) (01) IACSIT Pre, Singapore Evolutionary Algorithm Baed Fixed Order Robut Controller Deign and Robutne
More informationModule 4: Time Response of discrete time systems Lecture Note 1
Digital Control Module 4 Lecture Module 4: ime Repone of dicrete time ytem Lecture Note ime Repone of dicrete time ytem Abolute tability i a baic requirement of all control ytem. Apart from that, good
More informationAnalysis of PI controller by model based tuning method in Real Time Level Control of Conical Tank System using block box modeling
International Journal of ChemTech Reearch CODEN (USA): IJCRGG, ISSN: 0974-490, ISSN(Online):455-9555 Vol.11 No.01, 86-99, 018 Analyi of PI controller by model baed tuning method in Real Time Level Control
More informationPerformance Improvement of Direct Torque Controlled Interior Permanent Magnet Synchronous Motor Drive by Considering Magnetic Saturation
Performance Improvement of Direct Torque Controlled Interior Permanent Magnet Synchronou Motor Drive by Conidering Magnetic Saturation Behrooz Majidi * Jafar Milimonfared * Kaveh Malekian * *Amirkabir
More informationControl Systems Engineering ( Chapter 7. Steady-State Errors ) Prof. Kwang-Chun Ho Tel: Fax:
Control Sytem Engineering ( Chapter 7. Steady-State Error Prof. Kwang-Chun Ho kwangho@hanung.ac.kr Tel: 0-760-453 Fax:0-760-4435 Introduction In thi leon, you will learn the following : How to find the
More informationEE Control Systems LECTURE 14
Updated: Tueday, March 3, 999 EE 434 - Control Sytem LECTURE 4 Copyright FL Lewi 999 All right reerved ROOT LOCUS DESIGN TECHNIQUE Suppoe the cloed-loop tranfer function depend on a deign parameter k We
More informationQuestion 1 Equivalent Circuits
MAE 40 inear ircuit Fall 2007 Final Intruction ) Thi exam i open book You may ue whatever written material you chooe, including your cla note and textbook You may ue a hand calculator with no communication
More informationWolfgang Hofle. CERN CAS Darmstadt, October W. Hofle feedback systems
Wolfgang Hofle Wolfgang.Hofle@cern.ch CERN CAS Darmtadt, October 9 Feedback i a mechanim that influence a ytem by looping back an output to the input a concept which i found in abundance in nature and
More informationHigh Precision Feedback Control Design for Dual-Actuator Systems
Proceeding of the 25 IEEE Conference on Control Alication Toronto, Canada, Augut 28-31, 25 TC1.2 High Preciion Feedback Control Deign for Dual-Actuator Sytem Tielong Shen and Minyue Fu Abtract Dual-actuator
More informationCh. 6 Single Variable Control ES159/259
Ch. 6 Single Variable Control Single variable control How o we eterine the otor/actuator inut o a to coan the en effector in a eire otion? In general, the inut voltage/current oe not create intantaneou
More information11.5 MAP Estimator MAP avoids this Computational Problem!
.5 MAP timator ecall that the hit-or-mi cot function gave the MAP etimator it maimize the a oteriori PDF Q: Given that the MMS etimator i the mot natural one why would we conider the MAP etimator? A: If
More informationNonlinear Single-Particle Dynamics in High Energy Accelerators
Nonlinear Single-Particle Dynamic in High Energy Accelerator Part 6: Canonical Perturbation Theory Nonlinear Single-Particle Dynamic in High Energy Accelerator Thi coure conit of eight lecture: 1. Introduction
More informationSIMON FRASER UNIVERSITY School of Engineering Science ENSC 320 Electric Circuits II. Solutions to Assignment 3 February 2005.
SIMON FRASER UNIVERSITY School of Engineering Science ENSC 320 Electric Circuit II Solution to Aignment 3 February 2005. Initial Condition Source 0 V battery witch flip at t 0 find i 3 (t) Component value:
More informationHomework 12 Solution - AME30315, Spring 2013
Homework 2 Solution - AME335, Spring 23 Problem :[2 pt] The Aerotech AGS 5 i a linear motor driven XY poitioning ytem (ee attached product heet). A friend of mine, through careful experimentation, identified
More informationEfficiency Optimal of Inductive Power Transfer System Using the Genetic Algorithms Jikun Zhou *, Rong Zhang, Yi Zhang
International Conference on echanical Science and Engineering (ICSE5 Efficiency Otimal of Inductive Power Tranfer Sytem Uing the Genetic Algorithm Jikun Zhou *, ong Zhang, Yi Zhang Intitute of ytem engineering,
More informationInternal Model Control
Internal Model Control Part o a et o leture note on Introdution to Robut Control by Ming T. Tham 2002 The Internal Model Prinile The Internal Model Control hiloohy relie on the Internal Model Prinile,
More informationChapter 5 Consistency, Zero Stability, and the Dahlquist Equivalence Theorem
Chapter 5 Conitency, Zero Stability, and the Dahlquit Equivalence Theorem In Chapter 2 we dicued convergence of numerical method and gave an experimental method for finding the rate of convergence (aka,
More informationRoot Locus Contents. Root locus, sketching algorithm. Root locus, examples. Root locus, proofs. Root locus, control examples
Root Locu Content Root locu, ketching algorithm Root locu, example Root locu, proof Root locu, control example Root locu, influence of zero and pole Root locu, lead lag controller deign 9 Spring ME45 -
More informationSpeaker. Low- Pass Filter. D/A Converter. Power Amp. Counter. Memory. Clock
Maachuett Intitute of Technology Department of Electrical Engineering and Computer Science 6.00 { Electronic Circuit Homework # Solution Handout F9806 Iued /0/98 { Due /4/98 Introduction Thi homework aignment
More informationELECTRONIC FILTERS. Celso José Faria de Araújo, M.Sc.
ELECTRONIC FILTERS Celo Joé Faria de Araújo, M.Sc. A Ideal Electronic Filter allow ditortionle tranmiion of a certain band of frequencie and ure all the remaining frequencie of the ectrum of the inut ignal.
More informationA PLC BASED MIMO PID CONTROLLER FOR MULTIVARIABLE INDUSTRIAL PROCESSES
ABCM Sympoium Serie in Mechatronic - Vol. 3 - pp.87-96 Copyright c 8 by ABCM A PLC BASE MIMO PI CONOLLE FO MULIVAIABLE INUSIAL POCESSES Joé Maria Galvez, jmgalvez@ufmg.br epartment of Mechanical Engineering
More informationA VIBRATION ISOLATION SYSTEM USING STIFFNESS VARIATION CAPABILITY OF ZERO-POWER CONTROL
Proceeding of the International Conference on Mechanical Engineering 009 (ICME009) 6-8 December 009, Dhaka, Bangladeh ICME09-AM-0 A VIBRATION ISOLATION SYSTEM USING STIFFNESS VARIATION CAPABILITY OF ZERO-POWER
More informationA Simplified Dynamics Block Diagram for a Four-Axis Stabilized Platform
A Simplified Dynamic Block Diagram for a FourAxi Stabilized Platform Author: Hendrik Daniël Mouton a Univerity of Cape Town, Rondeboch, Cape Town, South Africa, 770 Abtract: t i relatively traightforward
More informationMicrowave magnetoelectric fields: An analytical study of topological characteristics
Microwave magnetoelectric field: An analytical tudy of toological characteritic R. Joffe 1,, R. Shavit 1, and E. O. Kamenetkii 1, 1 Microwave Magnetic Laboratory, Deartment of Electrical and Comuter Engineering,
More informationBandwidth expansion of a pressure control system for pneumatic anti-vibration apparatuses in presence of dead time
23456789 Bulletin of the JSME Journal of Advanced Mechanical Deign, Sytem, and Manufacturing Vol.9, No.3, 25 Bandwidth exanion of a reure control ytem for neumatic anti-vibration aaratue in reence of dead
More informationFeedforward Control identifiable disturbance measured,
Feeforwar Control So far, mot of the focu of thi coure ha been on feeback control. In certain ituation, the erformance of control ytem can be enhance greatly by the alication of feeforwar control. What
More information66 Lecture 3 Random Search Tree i unique. Lemma 3. Let X and Y be totally ordered et, and let be a function aigning a ditinct riority in Y to each ele
Lecture 3 Random Search Tree In thi lecture we will decribe a very imle robabilitic data tructure that allow inert, delete, and memberhi tet (among other oeration) in exected logarithmic time. Thee reult
More informationGNSS Solutions: What is the carrier phase measurement? How is it generated in GNSS receivers? Simply put, the carrier phase
GNSS Solution: Carrier phae and it meaurement for GNSS GNSS Solution i a regular column featuring quetion and anwer about technical apect of GNSS. Reader are invited to end their quetion to the columnit,
More informationMathematical and Intelligent Modeling of Electropneumatic Servo Actuator Systems
Autralian Journal of Baic and Alied Science, 3(4): 3663-3671, 2009 ISSN 1991-8178 Mathematical and Intelligent Modeling of Electroneumatic Servo Actuator Sytem Hazem I. Ali, Samul Bahari B Mohd Noor, S.M.
More informationECEN620: Network Theory Broadband Circuit Design Fall 2018
ECEN60: Network Theory Broadband Circuit Deign Fall 08 Lecture 6: Loop Filter Circuit Sam Palermo Analog & Mixed-Signal Center Texa A&M Univerity Announcement HW i due Oct Require tranitor-level deign
More informationAnalysis of Feedback Control Systems
Colorado Shool of Mine CHEN403 Feedbak Control Sytem Analyi of Feedbak Control Sytem ntrodution to Feedbak Control Sytem 1 Cloed oo Reone 3 Breaking Aart the Problem to Calulate the Overall Tranfer Funtion
More informationLecture 5 Introduction to control
Lecture 5 Introduction to control Tranfer function reviited (Laplace tranform notation: ~jω) () i the Laplace tranform of v(t). Some rule: ) Proportionality: ()/ in () 0log log() v (t) *v in (t) () * in
More informationECE 3510 Root Locus Design Examples. PI To eliminate steady-state error (for constant inputs) & perfect rejection of constant disturbances
ECE 350 Root Locu Deign Example Recall the imple crude ervo from lab G( ) 0 6.64 53.78 σ = = 3 23.473 PI To eliminate teady-tate error (for contant input) & perfect reection of contant diturbance Note:
More informationFRTN10 Exercise 3. Specifications and Disturbance Models
FRTN0 Exercie 3. Specification and Diturbance Model 3. A feedback ytem i hown in Figure 3., in which a firt-order proce if controlled by an I controller. d v r u 2 z C() P() y n Figure 3. Sytem in Problem
More informationFourier-Conjugate Models in the Corpuscular-Wave Dualism Concept
International Journal of Adanced Reearch in Phyical Science (IJARPS) Volume, Iue 0, October 05, PP 6-30 ISSN 349-7874 (Print) & ISSN 349-788 (Online) www.arcjournal.org Fourier-Conjugate Model in the Corpucular-Wae
More informationCONTROL OF INTEGRATING PROCESS WITH DEAD TIME USING AUTO-TUNING APPROACH
Brazilian Journal of Chemical Engineering ISSN 004-6632 Printed in Brazil www.abeq.org.br/bjche Vol. 26, No. 0, pp. 89-98, January - March, 2009 CONROL OF INEGRAING PROCESS WIH DEAD IME USING AUO-UNING
More informationUSPAS Course on Recirculated and Energy Recovered Linear Accelerators
USPAS Coure on Recirculated and Energy Recovered Linear Accelerator G. A. Krafft and L. Merminga Jefferon Lab I. Bazarov Cornell Lecture 6 7 March 005 Lecture Outline. Invariant Ellipe Generated by a Unimodular
More informationME 375 FINAL EXAM Wednesday, May 6, 2009
ME 375 FINAL EXAM Wedneday, May 6, 9 Diviion Meckl :3 / Adam :3 (circle one) Name_ Intruction () Thi i a cloed book examination, but you are allowed three ingle-ided 8.5 crib heet. A calculator i NOT allowed.
More informationDepartment of Mechanical Engineering Massachusetts Institute of Technology Modeling, Dynamics and Control III Spring 2002
Department of Mechanical Engineering Maachuett Intitute of Technology 2.010 Modeling, Dynamic and Control III Spring 2002 SOLUTIONS: Problem Set # 10 Problem 1 Etimating tranfer function from Bode Plot.
More informationLecture #5: Introduction to Continuum Mechanics Three-dimensional Rate-independent Plasticity. by Dirk Mohr
Lecture #5: 5-0735: Dynamic behavior of material and tructure Introduction to Continuum Mechanic Three-dimenional Rate-indeendent Platicity by Dirk Mohr ETH Zurich, Deartment of Mechanical and Proce Engineering,
More informationME 375 EXAM #1 Tuesday February 21, 2006
ME 375 EXAM #1 Tueday February 1, 006 Diviion Adam 11:30 / Savran :30 (circle one) Name Intruction (1) Thi i a cloed book examination, but you are allowed one 8.5x11 crib heet. () You have one hour to
More informationME 3560 Fluid Mechanics
Sring 018 ME 3560 Fluid Mechanic Chater III. Elementary Fluid Dynamic The Bernoulli Equation 1 Sring 018 3.1 Newton Second Law A fluid article can exerience acceleration or deceleration a it move from
More informationMM1: Basic Concept (I): System and its Variables
MM1: Baic Concept (I): Sytem and it Variable A ytem i a collection of component which are coordinated together to perform a function Sytem interact with their environment. The interaction i defined in
More informationUnavoidable Cycles in Polynomial-Based Time-Invariant LDPC Convolutional Codes
European Wirele, April 7-9,, Vienna, Autria ISBN 978--87-4-9 VE VERLAG GMBH Unavoidable Cycle in Polynomial-Baed Time-Invariant LPC Convolutional Code Hua Zhou and Norbert Goertz Intitute of Telecommunication
More informationSimulation Study on the Shock Properties of the Double-Degree-of-Freedom Cushioning Packaging System
Proceeding of the 7th IAPRI World Conference on Packaging Simulation Study on the Shock Propertie of the Double-Degree-of-Freedom Cuhioning Packaging Sytem Xia Zhu, Qiaoqiao Yan, Xiaoling Yao, Junbin Chen,
More informationPole-placement and LQ Hybrid Adaptive Control Applied Isothermal Continuous Stirred Tank Reactor
WSEAS RANSACIONS on SYSEMS and CONROL Pole-placement and LQ Hybrid Adaptie Control Applied Iothermal Continuou Stirred ank Reactor JIRI VOJESEK, PER DOSAL Department of Proce Control, Faculty of Applied
More information