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A Novel Self-tuning Speed Control Scheme for the Permanent Magnet Synchronous Motor

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The Proceedings of the 17th Annual Conference of China Electrotechnical Society (ACCES 2022)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1013))

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Abstract

For the permanent magnet synchronous motor (PMSM), it is challenging to control the speed under the varying conditions, such as wide-speed range and sudden load. Therefore, a novel self-tuning speed controller is proposed for the current source inverter fed three-phase PMSM. This scheme includes two parts: the single-neuron based controller and the parameter self-tuning algorithm in real time. The controller takes the error as the input, and combines the proportional item and the modified active function to meet the actual requirements. Based on the stochastic gradient descent algorithm and the PMSM mathematical model, the real-time online self-tuning of the parameters including the weight and bias is achieved, and the other parameters like the proportional coefficient and learning rate can be easily obtained. With the proposed speed control scheme, the dynamic response and adaptive ability can be improved. Especially under the condition of the wide speed range, the settle time changes little, and the overshoot of the system decreases with the increase of speed. And the parameters of this scheme can be self-tuned in online. The comparison experiments have been executed to verify the proposed ST controller.

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References

  1. Qu, L., Qiao, W., Qu, L.: An extended-state-observer-based sliding-mode speed control for permanent-magnet synchronous motors. IEEE J. Emerg. Select. Top. Power Electron. 9(2), 1605–1613 (2021)

    Article  Google Scholar 

  2. Jung, J.W., Leu, V.Q., Do, T.D., Kim, E.K., Choi, H.H.: Adaptive PID speed control design for permanent magnet synchronous motor drives. IEEE Trans. Power Electron. 30(2), 900–908 (2015)

    Article  Google Scholar 

  3. Lin, F.J., Chen, S.G., Li, S., Chou, H.T., Lin, J.R.: Online autotuning technique for IPMSM servo drive by intelligent identification of moment of inertia. IEEE Trans. Industr. Inf. 16(12), 7579–7590 (2020)

    Article  Google Scholar 

  4. Lee, C.R., Kim, S.K., Ahn, C.K.: Auto-tuning proportional-type synchronization algorithm for DC motor speed control applications. IEEE Trans. Circ. Syst. II-Expr. Briefs 67(3), 521–525 (2020)

    Google Scholar 

  5. He, L., Wang, F., Ke, D.: FPGA-based sliding-mode predictive control for PMSM speed regulation system using an adaptive ultralocal model. IEEE Trans. Power Electron. 36(5), 5784–5793 (2021)

    Article  Google Scholar 

  6. Shi, J., Huang, W.: Predictive iterative learning speed control with on-line identification for ultrasonic motor. IEEE Access 8, 78202–78212 (2020)

    Article  Google Scholar 

  7. Jabbour, N., Mademlis, C.: Online parameters estimation and autotuning of a discrete-time model predictive speed controller for induction motor drives. IEEE Trans. Power Electron. 34(2), 1548–1559 (2019)

    Article  Google Scholar 

  8. Han, Y., Gong, C., Yan, L., Wen, H., Wang, Y., Shen, K.: Multiobjective finite control set model predictive control using novel delay compensation technique for PMSM. IEEE Trans. Power Electron. 35(10), 11193–11204 (2020)

    Article  Google Scholar 

  9. Zhou, Z., Xia, C., Yan, Y., Wang, Z., Shi, T.: Disturbances attenuation of permanent magnet synchronous motor drives using cascaded predictive-integral-resonant controllers. IEEE Trans. Power Electron. 33(2), 1514–1527 (2018)

    Article  Google Scholar 

  10. Xu, W., Ali, M.M., Elmorshedy, M.F., Allam, S.M., Mu, C.: One improved sliding mode DTC for linear induction machines based on linear metro. IEEE Trans. Power Electron. 36(4), 4560–4571 (2021)

    Article  Google Scholar 

  11. Xu, W., Junejo, A.K., Liu, Y., Islam, M.R.: Improved continuous fast terminal sliding mode control with extended state observer for speed regulation of PMSM drive system. IEEE Trans. Veh. Technol. 68(11), 10465–10476 (2019)

    Article  Google Scholar 

  12. Zhang, X., Sun, L., Zhao, K., Sun, L.: Nonlinear speed control for PMSM system using sliding-mode control and disturbance compensation techniques. IEEE Trans. Power Electron. 28(3), 1358–1365 (2013)

    Article  Google Scholar 

  13. Scalcon, F.P., et al.: Robust control of synchronous reluctance motors by means of linear matrix inequalities. IEEE Trans. Energy Convers. 36(2), 779–788 (2021)

    Article  Google Scholar 

  14. Kim, S.K., Ahn, C.K.: Offset-free proportional-type self-tuning speed controller for permanent magnet synchronous motors. IEEE Trans. Ind. Electron. 66(9), 7168–7176 (2019)

    Article  Google Scholar 

  15. Kim, S.K., Lee, J.S., Lee, K.B.: Self-tuning adaptive speed controller for permanent magnet synchronous motor. IEEE Trans. Power Electron. 32(2), 1493–1506 (2017)

    Article  Google Scholar 

  16. Du, H., Wen, G., Cheng, Y., Lü, J.: Design and implementation of bounded finite-time control algorithm for speed regulation of permanent magnet synchronous motor. IEEE Trans. Ind. Electron. 68(3), 2417–2426 (2021)

    Article  Google Scholar 

  17. Shao, K., Zheng, J., Huang, K., Wang, H., Man, Z., Fu, M.: Finite-time control of a linear motor positioner using adaptive recursive terminal sliding mode. IEEE Trans. Ind. Electron. 67(8), 6659–6668 (2020)

    Article  Google Scholar 

  18. Leu, V.Q., Choi, H.H., Jung, J.W.: Fuzzy sliding mode speed controller for PM synchronous motors with a load torque observer. IEEE Trans. Power Electron. 27(3), 1530–1539 (2012)

    Article  Google Scholar 

  19. Wang, C., Zhu, Z.Q.: Fuzzy logic speed control of permanent magnet synchronous machine and feedback voltage ripple reduction in flux-weakening operation region. IEEE Trans. Ind. Appl. 56(2), 1505–1517 (2020)

    Article  MathSciNet  Google Scholar 

  20. Yin, W., Wu, X., Rui, X.: Adaptive robust backstepping control of the speed regulating differential mechanism for wind turbines. IEEE Trans. Sustain. Energy 10(3), 1311–1318 (2019)

    Article  Google Scholar 

  21. Wei, M.Y., Liu, T.H.: Design and implementation of an online tuning adaptive controller for synchronous reluctance motor drives. IEEE Trans. Ind. Electron. 60(9), 3644–3657 (2013)

    Article  Google Scholar 

  22. Le, Q.N., Jeon, J.W.: Neural-network-based low-speed-damping controller for stepper motor with an FPGA. IEEE Trans. Ind. Electron. 57(9), 3167–3180 (2010)

    Article  Google Scholar 

  23. Daryabeigi, E., Mirzaei, A., Zarchi, H.A., Vaez-Zadeh, S.: Enhanced emotional and speed deviation control of synchronous reluctance motor drives. IEEE Trans. Energy Convers. 34(2), 604–612 (2019)

    Article  Google Scholar 

  24. Chaoui, H., Khayamy, M., Okoye, O., Gualous, H.: Simplified speed control of permanent magnet synchronous motors using genetic algorithms. IEEE Trans. Power Electron. 34(4), 3563–3574 (2019)

    Article  Google Scholar 

  25. Jie, H., Zheng, G., Zou, J., Xin, X., Guo, L.: Speed regulation based on adaptive control and RBFNN for PMSM considering parametric uncertainty and load fluctuation. IEEE Access 8, 190147–190159 (2020)

    Article  Google Scholar 

  26. Butt, C.B., Rahman, M.A.: Untrained artificial neuron-based speed control of interior permanent-magnet motor drives over extended operating speed range. IEEE Trans. Ind. Appl. 49(3), 1146–1153 (2013)

    Article  Google Scholar 

  27. Pajchrowski, T., Zawirski, K., Nowopolski, K.: Neural speed controller trained online by means of modified RPROP algorithm. IEEE Trans. Ind. Inf. 11(2), 560–568 (2015)

    Article  Google Scholar 

  28. Tan, L.N., Cong, T.P., Cong, D.P.: Neural network observers and sensorless robust optimal control for partially unknown PMSM with disturbances and saturating voltages. IEEE Trans. Power Electron. 36(10), 12045–12056 (2021)

    Article  Google Scholar 

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Correspondence to Zhen Chen .

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Chen, C., Chen, Z., Li, Y., Liu, X., Guo, Y. (2023). A Novel Self-tuning Speed Control Scheme for the Permanent Magnet Synchronous Motor. In: Li, J., Xie, K., Hu, J., Yang, Q. (eds) The Proceedings of the 17th Annual Conference of China Electrotechnical Society. ACCES 2022. Lecture Notes in Electrical Engineering, vol 1013. Springer, Singapore. https://doi.org/10.1007/978-981-99-0451-8_66

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  • DOI: https://doi.org/10.1007/978-981-99-0451-8_66

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-0450-1

  • Online ISBN: 978-981-99-0451-8

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