Abstract

An adaptive robust variable structure speed controller is designed for wide range of desired velocity control of a Permanent Magnet Linear Synchronous Motor (PMLSM). This is performed for comprehensive nonlinear model of PMLSM including non-idealities such as detent force, parameter uncertainty, unpredicted disturbance and nonlinear friction. The proposed method is based on the robust Sliding Mode Control (SMC) in combination with an adaptive strategy for a wide range of velocity. The simulation results are provided for the above mentioned comprehensive model of PMLSM with a variable velocity profile. Moreover, as an evaluation criterion, a Proportional-Integral (PI) controller is designed whose parameters are optimally tuned by the Particle Swarm Optimization (PSO) algorithm for better comparison.

Keywords:

Particle swarm optimization, permanent magnet linear synchronous motor, variable structure controller, velocity control,

References

1. Bernardes, T., V. Foletto Montagner, H.A. Grundling and H. Pinheiro, 2014. Discrete-time sliding mode observer for sensorless vector control of permanent magnet synchronous machine. IEEE T. Ind. Electron., 61(4): 1679-1691.
   CrossRef    
2. Ghaebi Panah, P., A. Shafiei and R. Sharifian, 2010. An improved variable structure design for velocity control of a permanent magnet linear synchronous motor. Proceeding of IEEE International Conference on Power Electronics Electrical Drives Automation and Motion, pp: 1231-1236.
   
3. Ghaebi Panah, P., M. Ataei and A. Shafiei, 2011a. An adaptive fuzzy sliding mode control of a permanent magnet linear synchronous motor for an inimical command velocity profile. Proceeding of IEEE International Conference on System Engineering and Technology, pp: 41-46.
   CrossRef    
4. Ghaebi Panah, P., A. Shafiei, A. Parsa Pour and B. Mirzaeian Dehkordi, 2011b. Velocity control of a PMLSM using a brain emotional learning based intelligent control strategy. Proceeding of IEEE International Conference on System Engineering and Technology, pp: 47-52.
   CrossRef    
5. Hong, J., D. Pan and Z. Zong, 2013. Comparison of the two current predictive-control methods for a segment-winding permanent-magnet linear synchronous motor. IEEE T. Plasma Sci., 41(5): 1167-1173.
   CrossRef    
6. Hwang, C.C., P.L. Li and C.T. Liu, 2012. Optimal design of a permanent magnet linear synchronous motor with low cogging force. IEEE T. Magn., 48(2): 1039-1042.
   CrossRef    
7. Inoue, M. and K. Sato, 2000. An approach to a suitable stator length for minimizing the detent force of permanent magnet linear synchronous motors. IEEE T. Magn., 36: 1890-1893.
   CrossRef    
8. Jia, Z., P.J. Barre and P. Degobert, 2003. Modeling and thrust control of PMLSM using principle of local energy. Proceeding of International Conference on Electrical Machines and Systems, pp: 26-30.
   
9. Kim, S., Y. Zhu, S. Lee, S. Saha and Y. Cho, 2014. Electromagnetic normal force characteristics of a permanent magnet linear synchronous motor with double primary side. IEEE T. Magn., 50(1): 1-4.
   CrossRef    
10. Kung, Y.S., 2008. Design and implementation of a high-performance PMLSM drives using DSP chip. IEEE T. Ind. Electron., 55: 1341-1351.
    CrossRef    
11. Lee, S., S. Kim, S. Saha, Y. Zhu and Y. Cho, 2014. Optimal structure design for minimizing detent force of PMLSM for a ropeless elevator. IEEE T. Magn., 50(1): 1-4.
    CrossRef    
12. Lin, F.J., P.H. Chou, Y.C. Hung and W.M. Wang, 2010. Field-programmable gate array-based functional link radial basis function network control for permanent magnet linear synchronous motor servo drive system. IET Electr. Power App., 4(5): 357-372.
    CrossRef    
13. Lin, F.J., H.J. Hsieh, P.H. Chou and Y.S. Lin, 2011. Digital signal processor-based cross-coupled synchronous control of dual linear motors via functional link radial basis function network. IET Control Theory A., 5(4): 552-564.
    CrossRef    
14. Liu, Y., B. Tan and X. Zhang, 2007. Position accuracy improvement of PMLSM system based on artificial immune algorithm. Proceeding of International Conference on Mechatronics and Automation, pp: 3679-3683.
    CrossRef    
15. Liyi, L., H. Junjie, W. Hongxing, Z. Zhe and L. Xiaopeng, 2008. Adaptive back-stepping control for the sectioned permanent magnetic linear synchronous motor in vehicle transportation system. Proceeding of Vehicle Power and Propulsion Conference, pp: 1-5.
    CrossRef    
16. Lu, H.C. and M.H. Chang, 2009. Automatic generation fuzzy neural network controller with supervisory control for permanent magnet linear synchronous motor. Proceeding of 4th IEEE Conference on Industrial Electronics and Applications, pp: 3124-3129.
    CrossRef    
17. Orbak, A.Y., 2003. Modeling and full state feedback adaptive control of a two dimensional linear motor. Proceeding of Control Applications Conference, pp: 791-796.
    CrossRef    
18. Ouassaid, M. and M.C. Rkaoui, 2005. Nonlinear torque control for PMSM: A lyapunov technique approach. IEEE T. Eng. Comput. Technol., 6: 118-121.
    
19. Rivera, D.J., A. Navarrete, M.A. Meza, A.G. Loukianov and J. Canedo, 2014. Digital sliding-mode sensorless control for surface-mounted PMSM. IEEE T. Ind. Inform., 10(1): 137-151.
    CrossRef' target='_blank'>CrossRef    
20. Seong, L.H. and M. Tomizuka, 1996. Robust motion controller design for high-accuracy positioning systems. IEEE T. Ind. Electron., 43: 48-55.
    CrossRef    
21. Shin, J., R. Watanabe, T. Koseki and H. Kim, 2014. Transverse-flux-type cylindrical linear synchronous motor using generic armature cores for rotary machinery. IEEE T. Ind. Electron., 61(8): 4346-4355.
    CrossRef    
22. Tavana, N.R., A. Shoulaie and V. Dinavahi, 2012. Analytical modeling and design optimization of linear synchronous motor with stair-step-shaped magnetic poles for electromagnetic launch applications. IEEE T. Plasma Sci., 40(2): 519-527.
    CrossRef    
23. Van Den Braembussche, P., J. Swevers and H. Van Brussel, 1996. Accurate tracking control of linear synchronous motor machine tool axes. J. Sci. Mechatron., 6: 507-521.
    CrossRef    
24. Xie, Q., 2008. Modeling and control of linear motor feed drives for grinding machines. Ph.D. Thesis, George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology.
    
25. Yang, J., G. He and J. Cui, 2006. Analysis of PMLSM direct thrust control system based on sliding mode variable structure. Proceeding of CES/IEEE 5th International Power Electronics and Motion Control Conference, pp: 1-5.
    CrossRef    
26. Zhao, Y., Q. Wang, J. Xu and C. Wang, 2007. A fuzzy sliding mode control based on model reference adaptive control for permanent magnet synchronous linear motor. Proceeding of IEEE Conference on Industrial Electronics and Applications, pp: 980-984.
    CrossRef    

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The authors have no competing interests.

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