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Volume 2 Issue 2
Apr.  2015

IEEE/CAA Journal of Automatica Sinica

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Article Navigation >  IEEE/CAA Journal of Automatica Sinica  > 2015  >  2(2): 143-150
Zhenhua Deng and Xiaohong Nian, "Robust Control of Permanent Magnet Synchronous Motors," IEEE/CAA J. of Autom. Sinica, vol. 2, no. 2, pp. 143-150, 2015.
Citation: Zhenhua Deng and Xiaohong Nian, "Robust Control of Permanent Magnet Synchronous Motors," IEEE/CAA J. of Autom. Sinica, vol. 2, no. 2, pp. 143-150, 2015.
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Robust Control of Permanent Magnet Synchronous Motors

  • 1. School of Information Science and Engineering, Central South University, Changsha, 410004, China;

  • 2. Key Lab of System and Control, Academy of Mathematics and System Science, Chinese Academy of Sciences, Beijing 100190, China;

  • 3. School of Information Science and Engineering, Central South University, Changsha 410004, China

Funds:

This work was supported by National Natural Science Foundation of China (61075065, 60774045, 61473314, U1134108), Ph. D. Programs Foundation of Ministry of Education of China (20110162110041), and Science Foundation of Innovation Research Groups of National Natural Science Foundation of China (61321003).

    Abstract
  • In this paper, permanent magnet synchronous motors (PMSMs) are investigated. According to the feature of PMSMs, a novel state equation of PMSMs is obtained by choosing suitable state variables. Based on the state equation, robust controllers are designed via interval matrix and PI control idea. In terms of bilinear matrix inequations, sufficient conditions for the existence of the robust controller are derived. In order to reduce the conservation and the dependence on parameter, the control inputs of PMSMs are divided into two parts, a feedforward control input and a feedback control input, and relevant sufficient conditions for the existence of the controller are obtained. Because of the suitable choice of state variables, the proposed control strategies can cope with the load uncertainty and have robustness for disturbance. Finally, simulations are carried out via Matlab/Simulink soft to verify the effectiveness of the proposed control strategies. The performance of the proposed control strategies are demonstrated by the simulation results.

     

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    • References(23)
  • [1]
    Yang S S, Zhong Y S. Robust speed tracking of permanent magnet synchronous motor servo systems by equivalent disturbance attenuation. IET Control Theory Applications, 2007, 1(3):595-603
    [2]
    Corradini M L, Ippoliti G, Longhi S, Orlando G. A quasisliding mode approach for robust control and speed estimation of PM synchronous motors. IEEE Transactions on Industrial Electronics, 2012, 59(2):1096-1104
    [3]
    Choi H H, Vu N T T, Jung J W. Digital implementation of an adaptive speed regulator for a PMSM. IEEE Transactions on Power Electronics, 2011, 26(1):3-8
    [4]
    Underwood S J, Husain I. Online parameter estimation and adaptive control of permanent-magnet synchronous machines. IEEE Transactions on Industrial Electronics, 2010, 57(7):2345-2443
    [5]
    Zhu H, Xiao X, Li Y D. Torque ripple reduction of the torque predictive control scheme for permanent-magnet synchronous motors. IEEE Transactions on Industrial Electronics, 2012, 59(2):871-877
    [6]
    Liu H X, Li S H. Speed control for PMSM servo system using predictive functional control and extended state observer. IEEE Transactions on Industrial Electronics, 2012, 59(2):1171-1183
    [7]
    Jin H Z, Lee J M. An RMRAC current regulator for permanentmagnet synchronous motor based on statistical model interpretation. IEEE Transactions on Industrial Electronics, 2009, 56(1):169-177
    [8]
    Hamida M A, Leon J D, Glumineau A, Boisliveau R. An adaptive interconnected observer for sensorless control of PM synchronous motors with online parameter identification. IEEE Transactions on Industrial Electronics, 2013, 60(2):739-747
    [9]
    Yue X, Vilathgamuwa D M, Tseng K J. Observer-based robust adaptive control of PMSM with initial rotor position uncertainty. IEEE Transactions on Industry Applications, 2003, 39(3):645-656
    [10]
    Choi H H, Jung J W. Discrete-time fuzzy speed regulator design for PM synchronous motor. IEEE Transactions on Industrial Electronics, 2013, 60(2):600-607
    [11]
    Chaou H, Sicard P. Adaptive fuzzy logic control of permanent magnet synchronous machines with nonlinear friction. IEEE Transactions on Industrial Electronics, 2012, 59(2):1123-1133
    [12]
    Leu V Q, Choi H H, Jung J W. Fuzzy sliding mode speed controller for PM synchronous motors with a load torque observer. IEEE Transactions on Power Electronics, 2012, 27(3):1530-1539
    [13]
    Liu G H, Cheng L L, Zhao W X, Jiang Y, Qu L. Internal model control of permanent magnet synchronous motor using support vector machine generalized inverse. IEEE Transactions on Industrial Informatics, 2013, 9(2):890-898
    [14]
    Cheng B, Tesch T R. Torque feedforward control technique for permanent-magnet synchronous motors. IEEE Transactions on Industrial Electronics, 2010, 57(3):969-974
    [15]
    Do T D, Choi H H, Jung J W. SDRE-based near optimal control system design for PM synchronous motor. IEEE Transactions on Industrial Electronics, 2012, 59(11):4063-4074
    [16]
    Wai R J. Hybrid fuzzy neural-network control for nonlinear motor-toggle servomechanism. IEEE Transactions on Control Systems Technology, 2002, 10(4):519-532
    [17]
    Lu J G, Chen Y Q. Robust stability and stabilization of fractional-order interval systems with the fractional order α:the 0≤α≤1 case. IEEE Transactions on Automatic Control, 2010, 55(1):152-158
    [18]
    Guo L. H∞ output feedback control for delay systems with nonlinear and parametric uncertainties. IEE Proceedings-Control Theory and Applications, 2002, 149(3):226-236
    [19]
    Zhao L, Ham C, Han Q, Wu T X, Zheng L, Sundaram K, Kapat J, Chow L. Design of optimal digital controller for stable super-high-speed permanent-magnet synchronous motor. IEE Proceedings-Electric Power Applications, 2006, 153(2):213-218
    [20]
    Chen B S, Yuan Y, Chen W, Ni G, Chen M. Electric Drive Automatic Control System:Motion Control System (Third Edition). Beijing, China:China Machine Press, 2003(in Chinese)
    [21]
    Khargonekar P, Petersen I, Zhou K M. Robust stabilization of uncertain linear systems:quadratic stabilizability and H∞ control theory. IEEE Transactions on Automatic Control, 1990, 35(3):256-361
    [22]
    Boyd S, Ghaoui L, Balakrishnan V. Linear Matrix Inequalities in System and Control Theory. Philadelphia, PA:SIAM, 1994.
    [23]
    Mao W J, Chu J. Quadratic stability and stabilization of dynamic interval systems. IEEE Transactions on Automatic Control, 2003, 48(6):1007-1012
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