Nonlinear auto disturbance rejection control via the improved shark smell optimization for permanent magnet synchronous motor

被引：0
|
作者：
Wang L. [1 ]
Xu C. [1 ]
Ju Y. [1 ]
Liu G. [2 ,3 ]
机构：
[1] School of Automation and Electrical Engineering, Dalian Jiaotong University, Dalian
[2] College of Engineering, Inner Mongolia Minzu University, Tongliao
[3] Department of Automation, Shanghai Jiao Tong University, Shanghai
来源：
Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument | 2023年 / 44卷 / 06期
关键词：
Gaussian mutation; non-linear function; nonlinear auto disturbance rejection control; permanent magnet synchronous motor; shark smell optimization;
D O I：
10.19650/j.cnki.cjsi.J2210932
中图分类号：
学科分类号：
摘要：
To solve two problems about affecting control quality for permanent magnet synchronous motor traditional auto disturbance rejection control, and rough character of adopting non-linear function and difficulty of obtaining optimal integration parameters, a nonlinear auto disturbance rejection control via the improved shark smell optimization for permanent magnet synchronous motor is proposed. Based on the traditional non-linear function, inverse hyperbolic sine function, sine function and quadratic function are introduced, and the fitting method is also used for solving weight coefficient to construct a novel smooth non-linear function. For improving the integration parameters optimization effect effectively, refractive and Gaussian mutation mechanisms are integrated into the calculation process of the shark smell optimization algorithm. As can be seen from the results about permanent magnet synchronous motor speed regulation control experiment, under the premise of reducing the maximum starting torque, compared with the improved auto disturbance rejection control had obvious better control performance, the proposed improved auto disturbance rejection control obtains ITAE about speed and torque for control time, they are reduced to be 72. 7% and 80. 0% . Hence, the good restrained effect of overshoot of speed and ripple of torque for the proposed nonlinear auto disturbance rejection control via improved shark smell optimization is evaluated. © 2023 Science Press. All rights reserved.
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页码：303 / 312
页数：9
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