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State Estimation of Permanent Magnet Synchronous Motor Using Improved Square Root UKF

Author

Listed:
  • Bo Xu

    (The School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Fangqiang Mu

    (The School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Guoding Shi

    (The School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Wei Ji

    (Key Laboratory of Facility Agriculture Measurement and Control Technology and Equipment of Machinery Industry, Jiangsu University, Zhenjiang 212013, China)

  • Huangqiu Zhu

    (The School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China)

Abstract

This paper focuses on an improved square root unscented Kalman filter (SRUKF) and its application for rotor speed and position estimation of permanent magnet synchronous motor (PMSM). The approach, which combines the SRUKF and strong tracking filter, uses the minimal skew simplex transformation to reduce the number of the sigma points, and utilizes the square root filtering to reduce computational errors. The time-varying fading factor and softening factor are introduced to self-adjust the gain matrices and the state forecast covariance square root matrix, which can realize the residuals orthogonality and force the SRUKF to track the real state rapidly. The theoretical analysis of the improved SRUKF and implementation details for PMSM state estimation are examined. The simulation results show that the improved SRUKF has higher nonlinear approximation accuracy, stronger numerical stability and computational efficiency, and it is an effective and powerful tool for PMSM state estimation under the conditions of step response or load disturbance.

Suggested Citation

  • Bo Xu & Fangqiang Mu & Guoding Shi & Wei Ji & Huangqiu Zhu, 2016. "State Estimation of Permanent Magnet Synchronous Motor Using Improved Square Root UKF," Energies, MDPI, vol. 9(7), pages 1-14, June.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:7:p:489-:d:72712
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    Citations

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    Cited by:

    1. Seok-Kyoon Kim, 2017. "Proportional-Type Performance Recovery DC-Link Voltage Tracking Algorithm for Permanent Magnet Synchronous Generators," Energies, MDPI, vol. 10(9), pages 1-17, September.
    2. Lei Yu & Youtong Zhang & Wenqing Huang, 2017. "Accurate and Efficient Torque Control of an Interior Permanent Magnet Synchronous Motor in Electric Vehicles Based on Hall-Effect Sensors," Energies, MDPI, vol. 10(3), pages 1-15, March.
    3. Tao Liu & Qiaoling Tong & Qiao Zhang & Qidong Li & Linkai Li & Zhaoxuan Wu, 2018. "A Method to Improve the Response of a Speed Loop by Using a Reduced-Order Extended Kalman Filter," Energies, MDPI, vol. 11(11), pages 1-16, October.

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