volume | PIER Journals

Abstract

An enhanced linear active disturbance rejection control (E-LADRC) method with dynamically adjust is proposed to improve the observer gain and observation effect in the convenient linear active disturbance rejection control (C-LADRC), reduce the sensitivity of the observer to interference, and find the appropriate observer gain coefficient. Firstly, the mathematical model of bearingless permanent magnet synchronous motor (BPMSM) and the C-LADRC algorithm are described and analyzed. Secondly, the E-LADRC algorithm is designed to overcome the shortcomings of the C-LADRC. Thirdly, the back propagation neural network (BPNN) algorithm with strong self-learning and adaptive ability is used to dynamically adjust the parameters of the E-LADRC, so as to improve the performance of the control system. Finally, the whole control system is analyzed, and the effectiveness of the proposed algorithm is verified on the experimental platform. The experimental results show that the proposed control algorithm can effectively reduce the jitter amplitude of speed and displacement.

1. Valente, G., A. Formentini, L. Papini, et al. "Performance improvement of bearingless multisector PMSM with optimal robust position control," IEEE Transactions on Power Electronics, Vol. 34, No. 4, 3575-3585, Apr. 2019.
doi:10.1109/TPEL.2018.2853038 Google Scholar

2. Zhu, T., X. Cao, Q. Yu, et al. "Direct torque control with phase commutation optimization for single-winding bearingless switched reluctance motor," IEEE Transactions on Power Electronics, Vol. 37, No. 11, 13 238-13 249, Nov. 2022.
doi:10.1109/TPEL.2022.3183001 Google Scholar

3. Yang, Z., J. Jia, X. Sun, and T. Xu, "An enhanced linear adrc strategy for a bearingless induction motor," IEEE Trans. Transp. Electrif., Vol. 8, No. 1, 1255-1266, Mar. 2022.
doi:10.1109/TTE.2021.3112972 Google Scholar

4. Yang, Z., Q. Ding, X. Sun, et al. "Fractional-order sliding mode control for a bearingless induction motor based on improved load torque observer," J. Franklin Inst., Vol. 358, No. 7, 3701-3725, May 2021.
doi:10.1016/j.jfranklin.2021.03.006 Google Scholar

5. Sun, X., L. Chen, H. Jiang, et al. "High performance control for a bearingless permanent-magnet synchronous motor using neural network inverse scheme plus internal model controllers," IEEE Transactions on Power Electronics, Vol. 63, No. 6, 3479-3488, Jun. 2016. Google Scholar

6. Zhu, H. and Z. Gu, "Active disturbance rejection control of 5-degree-of-freedom bearingless permanent magnet synchronous motor based on fuzzy neural network inverse system," ISA Trans., Vol. 101, 295-308, Jun. 2020.
doi:10.1016/j.isatra.2020.01.028 Google Scholar

7. Chen, Y. and Y. Zhou, "Active disturbance rejection and ripple suppression control strategy with model compensation of single-winding bearingless flux-switching permanent magnet motor," IEEE Transactions on Power Electronics, Vol. 69, No. 8, 7708-7719, Aug. 2022. Google Scholar

8. Da Silva, W., A. O. Salazar, P. V. F. Vieira, et al. "Radial position control of a bearingless machine with active disturbance rejection control fuzzy an approach," ICA-ACCA, 1-5, Mar. 2021. Google Scholar

9. Yang, Z., C. Lu, X. Sun, et al. "Study on active disturbance rejection control of a bearingless induction motor based on an improved particle swarm optimization-genetic algorithm," IEEE Trans. Transp. Electrif., Vol. 7, No. 2, 694-705, Jun. 2021.
doi:10.1109/TTE.2020.3031338 Google Scholar

10. Zhou, X., H. Gao, B. Zhao, and L. Zhao, "A GA-based parameters tuning method for an ADRC controller of ISP for aerial remote sensing applications," ISA Trans., Vol. 81, 318-328, Oct. 2018. Google Scholar

11. Wang, Y., S. Fang, and J. Hu, "Active disturbance rejection control based on deep reinforcement learning of PMSM for more electric aircraft," IEEE Transactions on Power Electronics, Vol. 38, No. 1, 406-416, Jan. 2023.
doi:10.1109/TPEL.2022.3206089 Google Scholar

12. Lin, P., Z. Wu, K. Liu, and X. Sun, "A class of linear-nonlinear switching active disturbance rejection speed and current controllers for PMSM," IEEE Transactions on Power Electronics, Vol. 36, No. 12, 14 366-14 382, Dec. 2021.
doi:10.1109/TPEL.2021.3086273 Google Scholar

13. Qu, L., W. Qiao, and L. Qu, "Active-disturbance-rejection-based sliding-mode current control for permanent-magnet synchronous motors," IEEE Transactions on Power Electronics, Vol. 36, No. 1, 751-760, Jan. 2021.
doi:10.1109/TPEL.2020.3003666 Google Scholar

Dr. Xin Wang

Prof. Huangqiu Zhu