volume | PIER Journals

Abstract

The unbalanced rotor mass of permanent magnet assisted bearingless synchronous reluctance motor (PMa-BSynRM) will cause rotor vibration at the same frequency, which has a great influence on its operating performance at high speed. To solve this problem, a control method of unbalance vibration suppression based on variable step size and variable angle search algorithm is proposed in this paper. Firstly, the causes of rotor vibration are analyzed, and the equations of motion of the rotor in the vibratory state are derived. Secondly, the improved Sigmoid function is used to change the step size and angle of the search algorithm, and a fuzzy inference machine is used to adjust the Sigmoid function weights. The vibration suppression control system is constructed, and vibration suppression simulation is performed. The vibration suppression control of the PMa-BSynRM is realized. Finally, the PMa-BSynRM experimental platform is established, and vibration suppression experiments are carried out under the conditions of equal speed and external interference. Experimental results show that the control algorithm can effectively suppress rotor vibration. The unbalanced vibration suppression control proposed in this paper can achieve stable levitation operation of the PMa-BSynRM.

1. Zhu, Huangqiu and Yijian Shi, "Displacement self-sensing control of permanent magnet assisted bearingless synchronous reluctance motor based on least square support vector machine optimized by improved NSGA-II," IEEE Transactions on Industrial Electronics, Vol. 71, No. 2, 1201-1211, Feb. 2024.

2. Pei, Tonghao, Dawei Li, Jiayun Liu, Jian Li, and Wubin Kong, "Review of bearingless synchronous motors: Principle and topology," IEEE Transactions on Transportation Electrification, Vol. 8, No. 3, 3489-3502, Sep. 2022.

3. Hua, Yizhou, Huangqiu Zhu, Min Gao, and Zongyou Ji, "Multiobjective optimization design of permanent magnet assisted bearingless synchronous reluctance motor using NSGA-Ⅱ," IEEE Transactions on Industrial Electronics, Vol. 68, No. 11, 10477-10487, Nov. 2021.

4. Ji, Zongyou, Huangqiu Zhu, Ying Xu, and Mengyao Wu, "Optimization design of permanent magnet assisted single winding bearingless synchronous reluctance motor," IEEE Transactions on Applied Superconductivity, Vol. 30, No. 4, 1-5, Jun. 2020.

5. Islam, Md. Zakirul, A. Arafat, and Seungdeog Choi, "Design of five-phase bearingless permanent magnet assisted synchronous reluctance motor for high speed applications," 2018 IEEE Energy Conversion Congress and Exposition (ECCE), 4419-4424, Portland, OR, USA, 2018.

6. Peng, Cong, Mengting Zhu, Kun Wang, Yuan Ren, and Zhiquan Deng, "A two-stage synchronous vibration control for magnetically suspended rotor system in the full speed range," IEEE Transactions on Industrial Electronics, Vol. 67, No. 1, 480-489, Jan. 2020.

7. Wang, Xin and Huangqiu Zhu, "Vibration compensation control of BPMSM with dead-time effect based on adaptive neural network band-pass filter," IEEE Transactions on Power Electronics, Vol. 37, No. 6, 7145-7155, Jun. 2022.

8. Shi, Jiaming and Huangqiu Zhu, "Control study for compensating rotor vibration of four-DOF six-pole hybrid magnetic bearings based on variable step size LMS algorithm," IEEE Journal of Emerging and Selected Topics in Power Electronics, Vol. 11, No. 2, 1616-1626, Apr. 2023.

9. Zheng, Shiqiang, Qi Chen, and Hongliang Ren, "Active balancing control of AMB-rotor systems using a phase-shift notch filter connected in parallel mode," IEEE Transactions on Industrial Electronics, Vol. 63, No. 6, 3777-3785, Jun. 2016.

10. Xu, Zhiyuan and Changsheng Zhu, "Vibration control of an active magnetic bearings flexible rotor system based on adaptive recursive least square algorithm," 2021 24th International Conference on Electrical Machines and Systems (ICEMS), 1948-1952, Gyeongju, Korea, 2021.

11. Mao, Bo and Huangqiu Zhu, "Unbalance vibration suppression control of PMa-BSynRM based on total least square adaptive filtering algorithm," IEEE Journal of Emerging and Selected Topics in Power Electronics, Vol. 11, No. 6, 5798-5808, Dec. 2023.

12. Gong, Lei and Changsheng Zhu, "Vibration suppression for magnetically levitated high-speed motors based on polarity switching tracking filter and disturbance observer," IEEE Transactions on Industrial Electronics, Vol. 68, No. 6, 4667-4678, Jun. 2021.

13. Zhang, Peng and Changsheng Zhu, "Vibration control of base-excited rotors supported by active magnetic bearing using a model-based compensation method," IEEE Transactions on Industrial Electronics, Vol. 71, No. 1, 261-270, Jan. 2024.

14. Yang, Zebin, Jingjing Jia, Xiaodong Sun, and Ting Xu, "A fuzzy-ELADRC method for a bearingless induction motor," IEEE Transactions on Power Electronics, Vol. 37, No. 10, 11803-11813, Oct. 2022.

15. Zad, H. Sheh, Talha Irfan Khan, and Ismail Lazoglu, "Design and adaptive sliding-mode control of hybrid magnetic bearings," IEEE Transactions on Industrial Electronics, Vol. 65, No. 3, 2537-2547, Mar. 2018.

16. Li, Yucai and Huangqiu Zhu, "Three-vector model predictive suspension force control for bearingless permanent magnet slice motor," IEEE Transactions on Power Electronics, Vol. 38, No. 7, 8282-8290, Jul. 2023.

Ms. Jing Lu

Mr. Tengfei Zhao

Prof. Huangqiu Zhu