Isaac Scientific Publishing

Journal of Advances in Applied Mathematics

Research on Permanent Magnet Synchronous Motor Speed Control System Based on Three-Order Linear Active Disturbance Rejection Controller

Download PDF (501.5 KB) PP. 159 - 167 Pub. Date: October 6, 2020

DOI: 10.22606/jaam.2020.54003

Author(s)

  • Zhipeng Chen
    College of Electrical & Information Engineering, Southwest Minzu University, Chengdu 610041, China
  • Huazhang Wang*
    College of Electrical & Information Engineering, Southwest Minzu University, Chengdu 610041, China
  • Wei Zheng
    College of Electrical & Information Engineering, Southwest Minzu University, Chengdu 610041, China

Abstract

Linear active disturbance rejection control (three-order LESO+PD control) and fuzzy PID control strategies are used to simulate the same permanent magnet synchronous motor with variable speed (constant load) and variable load (constant speed), by observing and analyzing the oscilloscope waveform data and waveform changes in Matlab/Simulink, we can compare the control performance of the two control algorithms under different conditions. By comparing the waveform changes of the oscilloscope, it is found that LADRC has more advantages in real-time than fuzzy PID, and the fluctuation is smaller after stabilization. However, the linear auto disturbance rejection control algorithm is more likely to cause overshoot, and it is not as easy to master as fuzzy PID in parameter adjustment. The two control algorithms have their own advantages and disadvantages.

Keywords

permanent magnet synchronous motor, linear active disturbance rejection control, linear state observer, fuzzy PID control.

References

[1] 1. JIAN YANG. Research on Sensorless Control of Interior Permanent Magnet Synchronous Motor in Zero and Low Speed[D]. Hefei University of Technology, 2018.

[2] 2. Wang Ruiming. Study on AC Servo Driven System and It’s Novel Control Strategy[D]. ZheJiang: Zhejiang University, 2005.

[3] 3. ZhengWei Zhu, JianWei Zhu. Simulation Study On the Permanent Magnet Synchronous MotorSpeed Control System Based On Fuzzy Control.[J]. Journal of Changzhou Universily, 2012 (24): 61-65.

[4] 4. WenShuang Ding, YuWen Hu, WenQi Lu, JiaoYan Liang. Fuzzy PID Parameter Self-Turning Control for PMSM Servo System[J]. Small & Special Electrical Machines, 2011, 39 (05):17-21.

[5] 5. Yi Zhi-An, Mu Chun-Miao, Sun Yin-Ping. Fuzzy Neural Network Based on Improved Particle Swarm Algorithms[J]. Computer Systems & Applications, 2014, 23 (06): 135-140.

[6] 6. Han Jing-Qing. From PID Technology to "Auto Disturbance Rejection Control" Technology[J]. Control Engineering of China, 2002 (03):13-18.

[7] 7. Xiong Cheng-Lin. Practical Research on Vector Control System of Induction on Motor Bsaed on Optimizing ADRC[D]. Southwest Jiaotong University, 2006.

[8] 8. Gao Zhiqiang. On the foundation of active disturbance rejection control[J]. Control Theory & Application, 2013, 30 (12): 1498-1510.

[9] 9. Xiao Wei-Wen. Study on Direct Torque Control System of Permanent Magnet Synchronous Motor[D] .Hunan university, 2009.

[10] 10. Guo Bin, Shan Qingxiao, Xiao Changyan, Yang Jun, Liu Guohua. A Study of Beidou and GPS Dual -mode Synchronization Technology For Electric Power System Clock[J]. Computer Systems & Applications, 2011, 19 (01): 139-141.

[11] 11. Wang Shuyan, Shi Yu, Feng Zhongxu. A Method for Controlling a Loading System Based on a Fuzzy PID Controller[J]. Mechanical Science and Technology for Aerospace Engineering, 2011, 30 (01): 166-172.

[12] 12. Zhang Jinhuan. Study and Comparison on PID Control and Fuzzy Self-Adapting PID Control Syetem[J]. Journal of Wuhan University of Technology (Information & Management Engineering), 2005 (05): 286-290.