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Bulletin of the JSME Mechanical Engineering Journal Vol.4, No.5, 2017 Modeling and control design simulations of a linear flux-switching permanent-magnet-levitated motor Rafal P. JASTRZEBSKI*, Pekko JAATINEN* and Olli PYRHÖNEN* *Dept. of Electrical Engineering, Lappeenranta University of Technology, 53851 Lappeenranta, Finland E-mail: Rafal.Jastrzebski@lut.fi Received: 9 February 2017; Revised: 17 May 2017; Accepted: 11 July 2017 Abstract For flux-switching PM (FSPM) motors, permanent magnets (PMs) are placed in the stator and not in the rotor structure as in the majority of PM motor designs. Recently, FSPM bearingless motors have been developed for special applications. The FSPM concept can be adapted to linear motors. For linear motors, magnets or windings located on the mover significantly decrease the complexity and cost for longer tracks. Following the ideas from the rotating bearingless motors, this work focuses on combining the motoring and levitation functionalities in a linear machine. Still, to separate the controls of air gap and torque (thrust), two sets of windings or multiphase windings are required for both rotating FSPM and linear PM machines. A linear FSPM-levitated motor solution, which integrates the magnets, winding structure, and all the driving and control electronics on the mover is desired in many applications. However, because of electromagnetic unbalances, the machine design is intertwined with the control limitations and requirements. We propose a modeling methodology for accurate derivation of the machine dynamic and static force parameters as a function of air gap, control currents, and track position in an extended operating range. Model-based control simulations based on accurate plant models determine the achievable machine performance and levitation limitations. The design and modeling methodology is universal and can be applied to various PM bearingless motors and magnetic levitation systems. In the case study of a linear FSPM-levitated motor (mover), air gap control is possible in a manner equivalent to classical active magnetic bearings, where it is linearized and independent of the thrust control. Keywords : Linear flux-switching PM motor, Bearingless motor, Self-bearing drive, Magnetic levitation, Digital control, Linear actuator 1. Introduction Over the recent years, there has been an increasing interest among the electrical engineering community in topologies where the rotor magnets are located in the stator and not in the rotor. Already in 1955, Rauch and Johnson (1955) showed the principles of flux-switching permanent magnet (FSPM) rotating machines in the context of single-phase machines. FSPM motors offer high power density, simple rotor construction (with magnets located in the stator) suitable for hightemperature operation, and low manufacturing costs (Rotevatn, 2009). Various geometries of FSPM machines have been proposed and tested (Chen and Zhu, 2010). Generally, for machines with an odd number of stator poles/even number of rotor poles, for instance 5/6, 11/12, 13/12, the electromagnetic unbalance has been a problem. Typically, the selected and well-studied configurations include 12/10 and 12/14 configurations (Rotevatn, 2009), (Cao et al., 2014). Linear FSPM (LFSPM) motors produce thrust force without a need for conversion from rotational torque. The 12/14 LFSPM configuration provides a higher torque with smaller ripple compared with the 12/10 configuration (Chen and Zhu, 2010). In the case of LFSPM machines, two additional teeth at the mover ends balance the magnetic circuit. Otherwise, the operation of the classical LFSPM motor is equal to its rotational counterpart. The electromagnetic design of LFSPM motors is more challenging compared with FSPM motors because of the end effects and high relative thrust force ripple. In industrial applications, we can observe a continuing trend to develop more integrated, affordable, and intelligent solutions. Bearingless motors offer both the motoring and magnetic levitation functionality using one actuator. This solution decreases the component number, the overall machine size, and potentially provides a robust control that features Paper No.17-00084 J-STAGE Advance Publication date: 19 July, 2017 1

built-in monitoring and diagnostics. Gruber et al. (2014) and Amrhein (2015) have proposed a 6-phase 12/10 FSPM bearingless rotating motor. In the machine, additional phases are necessary for the levitation control. Similar to rotating machines, the magnetic levitation functionality can be supplemented to linear machines. Kim et al. (2010) have proposed a levitated mover with two opposing armatures and a PM array installed on the rail. Hwang et al. (2014) have developed an opposite system with multiple winding modules installed along the track and the PMs located only in the mover. Hwang et al. (2014) have studied a vector control for a multiphase transverse flux PM linear synchronous motor in order to control the air gap and position without separate windings. These PM linear synchronous motors are attractive in many industrial applications, such as machine tools, automation systems, transportation (propulsion), and levitation systems (Lee, et al., 2014), (Gieras, et al., 2012). However, they have inherent slot (cogging) and end effects, nonbalanced phases, high saturation effects, and significant force ripple dependent on track position. For a minimum cost, both the coils and the PMs as well as the electronics should be installed on the mover while the number of phases should be minimized. This work shows that the use of one three-phase winding in an LFSPM-levitated mover is possible but challenging because of the coupling, nonlinear, and end effects. Therefore, the design of an LFSPM-levitated machine has to combine accurate modeling and control simulations to assess the machine performance. For bearingless machines and levitated systems, nonlinearities and coupling effects make modeling and control very challenging. Assessment of the levitation performance requires a feasible control model. This work focuses on application of the finite element method (FEM) and control modeling methodology for LFSPM-levitated machines. First, proper dq reference frame current angles are determined. Second, the accurate fluxes, inductances, and forces of the case study 3- phase 12/14 LFSPM-levitated motor are calculated in a moving dq reference frame. The FEM-obtained parameters vary with current, air gap, and track angle (position). Third, the results are used to construct accurate simulation control models. Finally, example levitation controllers of the test case machine are designed and tested by simulations in various operating conditions. The levitation performance and limitations of the LFSPM motor that has both PMs and windings integrated into the mover are evaluated. The presented modeling methodology is general and applicable to a wide range of bearingless motors. 2. Basic FEM analysis The LFSPM motor has been analyzed using the JMAG FEM software. The mechanical model of the machine is imported from SolidWorks. Different mover and rail geometries as well as various winding schemes are possible. Here, the motor construction data are for an example case and based on a conventional geometry of a nonlevitated LFSPM motor as presented by Cao et al. (2014). A summary of the most important parameters is given in Table 1. The assumed magnetic circuit, winding arrangements, and magnetic pole structures are shown in Fig. 1. Table 1. Design specification of the case study LFSPM levitated motor with item names according to Cao et al. (2014). Items Parameter values Items Parameter values PM material (NdFeB) NMX-S34GH Hitachi Metals Mover tooth wide 10.7 mm Lamination steel type Sura M270-35 Mover height 61.3 mm Turns per slot per coil 360 Mover yoke height 8.2 mm Rated speed 1 m/s Magnet height 55 mm Phase Resistance 10 Ohm Magnet width 10.85 mm Weight of the mover 500 kg Rail tooth width 16.3 mm Mover stack length 55 mm Rail teeth yoke width 30.1 mm Mover pole pitch 50.4 mm Rail yoke height 10 mm Rail pole pitch 46.4 mm Nominal air gap 1.25 mm 2

(a) u u w w v v u u w w v v (b) x (c) Fig. 1 Coil and magnet arrangement follows the 12-slot/14-pole structure of an LFSPM motor, e.g. as in (Cao et al., 2014), which is equivalent to the rotating 12/14 configuration FSPM presented e.g. by Rotevatn (2009) but adapted for a linear case. In all simulations, 360 electrical degrees correspond to the rail pole pitch. (a) Isometric drawing of the model. (b) Coil and magnet arrangement. The laminations of the yoke are indicated by white, the 3-phase coils green, and the magnets by yellow color. (c) Flux lines and density distribution for the nominal normal load for i d = 3.5 Arms and i q = 0 A. The magnetic flux density is between 0 and 2.55 T. Fig. 2(a) shows that the EMF voltage in one phase is slightly higher than in the two other phases. This is due to the effects of the armature end tooth structure (end effect), which reduces the EMF voltage in both u and v phases, but not in w phase. The waveform is triangular because of the strong magnetic saturation. The interaction between the mover and the rail poles produces cogging torque along the movement. The cogging force behavior in a no-load situation is shown in Fig. 2(b). The net thrust force (y-direction) has variation of about ±35 N. The net normal force (x-direction) of one motor seems almost constant along the movement because of the high value of force. However, when the mean value is subtracted, the remaining ripple of the net normal force is ±155 N. The cogging forces and end effects can be reduced (if required based on performance studies) for instance by using rail pole skewing analogically to stator skewing (Jastrzebski, et al., 2015), introducing flux barriers (Cao, et al., 2014), (Jin, et al., 2009), shaping assistant teeth (Wang, et al., 2009), optimization of the rotor pole width (Zhu, et al., 2005), or changing the motor slot/pole number. y Fig. 2 (a) Back EMF at no-load open circuit during movement of the armature to the left (according to Fig. 1) corresponding to two stator pole pitches. Symmetrical u and v (apart from the initial transient) but nonsymmetrical w phase because of the end effect. (b) Forces during the no-load back-emf test (mover traveling for 720 ). 23

3. Thrust and normal force analysis The vector control of PM flux-switching machines requires definition of the d- and q-axes of the system. For special machines, for instance for an odd number of slots and an even number of poles or for complex winding arrangements, these axes do not correspond to the location of poles or magnets and are not immediately identifiable. Here, we propose a method for determining the axes (or current vector positioning) of LFSPM motors based on a FEM analysis of thrust and normal forces. We compute thrust and normal forces as functions of starting i u phase current angle. Then, we record the mean values where the initial transients are removed for higher accuracy (Fig. 3(a)). Based on the mean values, we define the d-direction as corresponding to the zero value of the thrust force. Alternatively, the assumed d-direction corresponds to the minimum value of the normal force (for the opposite direction of the d-axis). Based on the simulations, such determined dq axes are structure dependent and proved to be the same regardless of the steel and magnet materials used when performing the design iterations. After we have defined the axes, the magnetic forces of a single armature can be computed. Fig. 3 (a) Average forces of one armature as a function of starting i u phase current angle. The current angel changes about 500 in 1.4 electrical periods. In this case, the maximum net thrust force angle is 143.4, and the mean net normal force angle is 53.4. These correspond to the q- and d-axis angles for the current vector control of the machine. (b) Total thrust force of two opposite armatures as a function of i q (i d = 0 A) with different displacements from the nominal air gap. Fig. 4 (a) Total normal force of two opposite armatures as a function of i d current (i q = 0 A) when the i d currents at the opposite armatures are changed with opposite signs. (b) f y as a function of different displacements from the nominal air gap for various rms amplitudes of i q current (when i d = 0 A). The normal force is independent of the sign of i q. 24

When applying two opposite armatures as for instance in (Jin, et al., 2009), the total thrust force is not significantly dependent on the air gap displacement of the mover. The thrust force is linearly dependent on the i q current component at nominal values and below, as shown in Fig. 3(b). The nominal current is 3.6 Arms (which is normalized to 1 per unit). The thrust force is fully independent of the i d current. This gives freedom to control the normal force by changing the i d currents, but no disturbance is generated to the thrust force, since it is fully decoupled (in the studied operating region) from i d by nature. Magnetic levitation of the linear machine requires a controllable normal force. The normal force is mostly dependent on the magnetizing current component i d (Fig. 4(a)) but there is also coupling to the force current component i q when not in the nominal point (Fig. 4(b)). Both the thrust force and the normal force saturate at high current amplitudes. The normal force variations are significant for very small air gaps. The nominal air gap is assumed as the median air gap, that is, the median of the maximum and minimum distances between the mover and rail yokes as limited by the safety bearings. When opposite armatures have the same i q current and the air gap displacement from the middle point is zero, the normal forces of the armatures cancel each other and the total normal force is independent of the i q current. Therefore, the opposite motor/armature transposition/shifting is not recommended as a means to reduce the thrust force ripple (it would introduce the normal force ripple). Fig. 5 shows the ripple of the normal force resulting from two opposing armatures for different magnetizing current components i d and mover y-positions (or air gaps) for i q = 0 A. Fig. 5 (a) Normal force ripple of two opposite armatures as a function of i d current (i q = 0 A) and air gap when the i d currents at the opposite armatures are changed with opposite signs. (b) Normal force ripple df y as a function of track position for different displacements from the nominal air gap value (i q = 0 A and i d = 0 A). (c) Normal force ripple df y as a function of track position for different rms amplitudes of i d current (i q = 0 A and y = 0 mm). 25

4. System modeling and control simulations An analysis of levitation control requires dynamic modeling of the system. In the basic configuration, the levitation and thrust (making it a two-degree-of-freedom system) are modeled as a point mass m. The force relations are linearized in the operating point using the current stiffnesses k iqx, k idy, k iqy and the position stiffness k y. For the thrust, the derivation of the PM flux linkage Ψ PM is applied. f x = m d2 x dt 2, f y = m d2 y dt2, (1) f x = dψ PM dx i q = k iqx i q, f y = k y y + k idy i d + k iqy i q. (2) The forces and inductances used in the simulation model consist of four-dimensional look-up tables computed in the FEM for currents transformed into the moving dq reference frame. Fig. 6 shows the magnetic forces of a single armature. For balancing magnetic pull, two opposing armatures are applied following for instance Kim et al. (2010) and Hwang et al. (2014). Fig. 7 shows the L d and L q inductances and the M dq and M qd mutual inductances averaged over different track angles. M qd and the influence of the i d current on f q can be neglected in the linearized model. The dq axis voltages are di v d = Ri d + L d +M di q d dt dq + k dy dt u,d, v di dt q = Ri q + L q + M di d q dt qd + k dy dt u,q. (3) dt The inductances are computed for instance as L q = (Φ q (x, i q, y) Φ q (x, i q = 0, y))/i q from the peak values of the fluxes Φ and currents. Fig. 6 Force characteristics of a single armature averaged over different track angles as a function of current and air gap in the operating range. Normal force dependent on i d (a) and i q (b). Thrust force dependent on i d (c) and i q (d). 26

Fig. 7 Inductances and mutual inductances of a single armature averaged over different track angles. There is some mutual inductance M dq but no M qd. Analogically, no influence of the d-current can be seen over the thrust force. The velocity-induced coefficients k u,q and k u,d can also be neglected. Their peak values in the whole computed range are 10 Wb/m and 30 Wb/m. For the point mass 500 kg, the velocity in the y-direction can reach 0.01 m/s, which yields a marginal voltage in comparison with the total voltage in (3). The inductance values at i=0 are interpolated from other points. Alternative methods for computing machine inductances would be to use signal increments instead of peak values or to use the first harmonic values after the FFT of the signals. The accuracy of the FFT is dependent on the number of samples. An interesting alternative is to replace the inductance model with the flux model and derivatives in (3). The fluxes and inductances vary considerably with the track angle. The model assumes some sensor delay (100 µs). The discretization time is 100 µs, which is typical for motor inverter current control loops. The linearized parameters at the nominal air gap are: k iqx = 650 N/Arms, k idy, = -1217 N/Arms, k iqy, = 0 N/Arms, k y = 712000 N/m, L d = 0.32 H, L q = 0.43 H, M dq = 0 H, M qd = 0 H, R = 8.5 Ω, k u,q = -5 Wb/m, and k u,d = 10 Wb/m. The sign and value of the mutual inductance M dq depend on i q. The position stiffness k y also varies with i q. The initial step from one side to the middle point requires at least i d =7 Arms current, which produces a positive normal force (Fig. 4(a)), to move the mover to the zero air gap displacement position. In practice, the air gap can be limited reducing the current loading during the initial lift-up. Two scenarios are investigated in the simulations. In the first scenario, only the normal (levitation) force behavior is studied, and the mover is traveling on the horizontal track. Gravity is neglected. A simulation diagram is shown in Fig. 8, and the simulation results of the first scenario are shown in Fig. 9. A two-degree-of-freedom controller (feedback and reference inputs) with a cascaded structure is applied for levitation and propulsion. The inner current control loop, which effectively linearizes the actuator, uses a proportional control. There is one current control loop for each armature and each i d or i q current. The model-based linear quadratic Gaussian control and the controller loop transfer recovery are applied to the outer position controller synthesis. The state observer comprises estimation of the inner current control loop, position control loop, and the augmented constant disturbance estimator. 27

(a) (b) (c) Fig. 8. The x- and y-direction plants comprise the mechanical point mass models (double integrators) and the actuator dynamics captured from the FEM as force look-up-table (LUT) models and inductance LUT models (included in the current dynamics blocks for the upper and lower armatures). (a) Simulation-coupled top model for levitation (y-direction) and thrust (x-direction). (b) Actuator model of levitation with two current dynamical models. (c) y-direction plant model. There is coupling from the i q current to the force in the y-direction, and coupling from the y-position (air gap) to the inner current dynamics and forces in the x-direction. The x-position is also represented as an angular position. In Fig. 9, the coupling effects of the thrust force and the i q current on the normal force f y can be observed. The track position has a significant effect on the currents, positions, and voltages. Potentially, it can excite some of the mechanical resonances of the actual system. Therefore, the electromagnetic machine design should be updated to minimize the cogging effects. In the second scenario, the model-based controller is also applied for the thrust control. Here, gravity is present. The mover is traveling on a straight track with 30% inclination upward for about 17 m. Fig. 10 shows coupled simulations for the control of both the thrust and levitation forces. The 500 kg point mass is accelerated from 1 s to 2 s along the track (in the positive x-direction) with 2 m/s 2, and then, the mass travels at a constant velocity of 2 m/s for the following 8 s (Fig. 10(a)). Simultaneously, a trapezoidal pulse reference position in the y-direction is requested from the controller (Fig. 10(b)). The resulting measured (from the nonlinear plant model) i d and i q currents are shown in Figs. 10(c) and 10(d). The initial states of the controller are not correct, and therefore, there is a transient. During the first 0.5 s transient, it was observed that the internal states of the controllers were settling. The y-direction reference towards the lower air gap (in the direction of the gravity force) is more challenging for the controller, which can be observed in the overshoot in the y- position at 6 s. The corresponding forces in the x- and y-directions are a product of the sum of the forces from two opposing armatures. 28

Jastrzebski, Jaatinen and Pyrhönen, Mechanical Engineering Journal, Vol.4, No.5 (2017) Fig. 9. Following a trapezoidal reference position yref at t=0.3 s, a 3.5 A step iq current is applied (as a disturbance). (a) y output for the mover, which is not traveling in the x-direction. (b) id currents of the upper and lower armatures. (c) u voltages for both opposite armatures. (d) y output for the mover, which is traveling at the nominal speed in the x-direction. (e) id currents of the upper and lower armatures. (f) u voltages of the upper and lower armatures. (g) Angle for cases (a c). Angle for cases (d f). 29

Jastrzebski, Jaatinen and Pyrhönen, Mechanical Engineering Journal, Vol.4, No.5 (2017) Fig. 10. Following a trapezoidal reference rate of the position xr, at t=1 s, a trapezoidal series of pulses of the reference position in the y-direction are requested from the controller. (a) Reference dx/dt and x output for the mover. (b) Reference yr and measured ym position of the mover in the y-direction. (c) iq currents for both opposite armatures are the same. (d) id currents for both opposite armatures. (e) Forces in the x-direction resulting from the iq currents. (f) Forces in the y-direction resulting from the id currents. 5. Conclusions The work studied the combined levitation and thrust performance of the LFSPM motor for the first time. The proposed method of determining the axes (current vector positioning) of LFSPM motors based on an FEM analysis of the thrust and normal forces was used for the definition of the dq axes. Using the defined coordinates, the performance of the case machine and the model-based control were tested. In the performed levitation control, the effects of the 10 2

inherent machine force ripple and the quality of feedback on the dynamical behavior of the position control were studied. Two operation scenarios were examined. First, the normal force control was studied. Second, the coupled thrust and normal forces were controlled with the model-based control approach. The model-based control provides stable suspension. However, the performance far away from the operating and linearization point is challenging. The system arrangement has similar features as can be found in the traditional levitation control of active magnetic bearing systems. The mean normal force f y resulting from a single armature is nonlinearly dependent on the current i and the air gap y in the wider operating range. For two opposing armatures at no load, the current stiffness and the negative position stiffness are close to linear in the normal operating range (for a current equal to ± 4 Arms and for a displacement of ±0.5 mm from the midposition). The normal force f x ripple is below 3 % for i d from 0 to 1 per unit and at no load and at no air gap displacement. The coupling between the normal force and the thrust force increases with the increasing air gap displacement. The influence of the i d current on the mean thrust force f x can be neglected. However, the thrust force ripple (shape) depends on i d for the variable track position x. The influence of the air gap on the thrust force of the pair of opposing armatures can be neglected in the normal operating range. The presented modeling and control design methodology led to successful evaluation of the levitation performance of an LFSPM machine. This modeling and control simulation methodology can be used for further machine design optimization and adaptation to specific application needs. Acknowledgment The work has been co-funded by the Academy of Finland No. 270012, No. 304071 and 304784. References Amrhein, W., Gruber, W., Bauer, W., and Reisinger, M., Magnetic Levitation Systems for Cost-Sensitive Applications, in Proc. of 2015 IEEE Workshop on In Electrical Machines Design, Control and Diagnosis (WEMDCD), (2015), pp. 104 111. Cao, R., Cheng, M., Mi, C.C., and Hua, W., Influence of Leading Design Parameters on the Force Performance of a Complementary and Modular Linear Flux-Switching Permanent-Magnet Motor, IEEE Transactions on Industrial Electronics, Vol. 61, No. 5, (2014), pp. 2165 2175. Chen, J. T., and Zhu, Z.Q., Comparison of all- and alternate-poles-wound flux-switching PM machines having different stator and rotor pole numbers, IEEE Transactions on Industry Applications, Vol. 46, No. 4, (2010), pp. 1406 1415. Gieras, J.F., Piech, Z.J., Tomczuk, B.Z., Linear synchronous motors Transportation and automation systems (2012), 2 nd ed., CRC Press Taylor and Francis Group, p. 251 429. Gruber, W., Radman, K., and Schob, R.T., Design of a Bearingless Flux-Switching Slice Motor Wolfgang, In Proc. of the 2014 International Power Electronics Conference Design, (2014), pp. 1691 1696. Hwang, S.-H., Bang, D.-J. and Kim, J.-W., Air Gap Control of Multi-phase Transverse Flux Permanent Magnet Linear Synchronous Motor by using Independent Vector Control, in Proc. of Int. Power Electronics Conf., (2014), pp. 2427 2432. Jastrzebski, R.P. Jaatinen, P. Sugimoto, Pyrhönen, O., Chiba, A., Design of a bearingless 100 kw electric motor for highspeed applications, in Proc. of International Conference on Electrical Machines and Systems, (2015), pp. 2008 2014. Jin, M. J., Wang, C. F., Shen, J. X., and Xia, B., A modular permanent-magnet flux-switching linear machine with faulttolerant capability, IEEE Transactions on Magnetics, Vol. 45, No. 8, (2009), pp. 3179 3186. Kim, W.Y., Lee, J. M., and Kim, S. J., Rolling motion control of a levitated mover in a permanent-magnet-type bearingless linear motor, IEEE Transactions on Magnetics, Vol. 46, No. 6, (2010), pp. 2482 2485. Lee, K., Baek, J., Kim, J., Ahn, M., Jung, T., and Lee, M., Design of Electromagnetic Levitation Linear Bearing for FPD Glass Delivery Applications, in Proc. of ISMB14, (2014), pp. 407 411. Rauch, S. E., and Johnson, L. J., Design Principles of Flux-Switch Alternators, Transactions of the American Institute of Electrical Engineers. Part III: Power Apparatus and Systems, Vol. 74, No. 3, (1955), pp. 1261 1268. Rotevatn, N., Design and testing of Flux Switched Permanent Magnet (FSPM) Machines (2009), MSc, Norwegian University of Science and Technology Department of Electrical Power Engineering. Thomas, A., Zhu, Z. Q., Jewell, G. W., and Howe, D., Flux-switching PM brushless machines with alternative stator and rotor pole combinations, In Proc. of 2008 International Conference on Electrical Machines and Systems, (2008), pp. 11 2

2986 2991. Wang, C.F., Shen, J.X., Wang, Y., Wang, L.L., and Jin, M.J., A new method for reduction of detent force in permanent magnet flux-switching linear motors, IEEE Transactions on Magnetics, Vol. 45, No. 6, (2009), pp. 2843 2846. Zhu, Z. Q., Pang, Y., Howe, D., Iwasaki, S., Deodhar, R., and Pride, A., Analysis of electromagnetic performance of fluxswitching permanent-magnet machines by nonlinear adaptive lumped parameter magnetic circuit model, IEEE Transactions on Magnetics, Vol. 41, No. 11, (2005), pp. 4277 4287. 12 2