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Sensorless Control of PMSM With State Estimation PLL Base on Injection of High Frequency Rectangular Signal into Stationary Reference Frame

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Published:14 October 2022Publication History

ABSTRACT

In this paper, a new method combining high frequency injection in stationary reference system and state estimation PLL (SEPLL) is proposed for the startup and low-speed operation of permanent magnet synchronous motor (PMSM). The high-frequency rectangular signal is injected into the stationary reference frame, and the high-frequency response current of the response is decomposed into the sum of sinusoidal signals by Fourier decomposition, and the response current containing the position information of the rotor is obtained by signal modulation, which reduces the influence of inductance variation on the system. Then, the rotor position is estimated by using SEPLL. Compared with traditional phase locked loop algorithm, this algorithm has stronger robustness to noise, better estimation accuracy and higher response speed even under very high noise. The performance of the method is evaluated by simulation. The results show that the method is less affected by noise and can accurately estimate the rotor position at low speed, with good stability and dynamic performance.

References

  1. Shen, J. X., Zhu, Z. Q., & Howe, D. (2002). Improved speed estimation in sensorless PM brushless AC drives. IEEE Transactions on Industry Applications, 38(4), 1072-1080.Google ScholarGoogle ScholarCross RefCross Ref
  2. Shao, Y., Wang, B., Yu, Y., Dong, Q., D. (2019, August). An Integral Sliding Mode Back-EMF Observer for Position-Sensorless Permanent Magnet Synchronous Motor Drives. In 2019 22nd International Conference on Electrical Machines and Systems (ICEMS) (pp. 1-5). IEEE.Google ScholarGoogle Scholar
  3. Bolognani, S., Oboe, R., & Zigliotto, M. (1999). Sensorless full-digital PMSM drive with EKF estimation of speed and rotor position. IEEE transactions on Industrial Electronics, 46(1), 184-191.Google ScholarGoogle ScholarCross RefCross Ref
  4. Yang, Y. (2017, May). A neural network model reference adaptive system for speed estimation of sensorless induction motor. In 2017 29th Chinese Control And Decision Conference (CCDC) (pp. 6864-6868). IEEE.Google ScholarGoogle Scholar
  5. P . L. Jansen and R. D. Lorenz, “Transducer less position and velocity estimation in induction and salient AC machines,” IEEE Trans. Ind. Appl.,vol. 31, no. 2, pp. 240–247, Mar./Apr. 1995.Google ScholarGoogle Scholar
  6. Liu, J. M., & Zhu, Z. Q. (2013). Novel sensorless control strategy with injection of high-frequency pulsating carrier signal into stationary reference frame. IEEE Transactions on Industry Applications, 50(4), 2574-2583.Google ScholarGoogle ScholarCross RefCross Ref
  7. Yanying, W., Peng, W., & Zhen, W. (2021, May). Sensorless Control of Permanent Magnet Synchronous Motor with Double Frequency Square Wave Voltage Injection. In 2021 IEEE 4th International Electrical and Energy Conference (CIEEC) (pp. 1-6). IEEE.Google ScholarGoogle Scholar
  8. Paulus, D., Landsmann, P (2011, September). Sensorless field-oriented control for permanent magnet synchronous machines with an arbitrary injection scheme and direct angle calculation. In 2011 Symposium on Sensorless Control for Electrical Drives (pp. 41-46). IEEE.Google ScholarGoogle ScholarCross RefCross Ref
  9. Wang, H., Li, S., Zuo, Y., & Ge, X. (2019, August). Sensorless control of linear induction motor based on SSLKF-PLL speed estimation scheme. In 2019 22nd International Conference on Electrical Machines and Systems (ICEMS) (pp. 1-6). IEEE.Google ScholarGoogle Scholar

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  • Published in

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    ICCIR '22: Proceedings of the 2022 2nd International Conference on Control and Intelligent Robotics
    June 2022
    905 pages
    ISBN:9781450397179
    DOI:10.1145/3548608

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    Publication History

    • Published: 14 October 2022

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