服务号

订阅号

Manuscript details

Current location:Home >Manuscript details

Wide⁃speed⁃range Fuzzy Sliding Mode Control for Interior Permanent Magnet Synchronous Motor

Release date:2024-12-19  Number of views:273   Amount of downloads:182   DOI:10.19457/j.1001-2095.dqcd25182

      Abstract:In response to the poor disturbance rejection performance and issues of parameter perturbation and

control precision in traditional control strategies for interior permanent magnet synchronous motors (IPMSM),a

fuzzy sliding mode control strategy based on the super-twisting disturbance observer was proposed. This strategy

enables wide-speed-range operation of IPMSM,and further improves rotational speed tracking precision and the

system's disturbance rejection capabilities. Firstly,the speed control range was broadened by combining maximum

torque per ampere ratio with the gradient descent method for weak magnetic control. Secondly,the super-twisting

algorithm(STA)was utilized to design a disturbance observer,thus enhancing the system's ability to resist

disturbances. In addition,to address the derivative explosion problem in Backstepping control,a second-order

sliding mode differentiator was used to approximate the virtual control rate. The fuzzy logic system was adopted to

approximate the nonlinear part in the model of IPMSM,reducing the impact of motor parameter perturbation on

control performance. Finally,the stability of the proposed control strategy was confirmed by applying Lyapunov

theory. Through simulation on the Matlab/Simulink platform,it was verified that under the control strategy

proposed,IPMSM demonstrate superior wide-speed-range dynamic performance and robustness.


      Key words:electric vehicles;interior permanent magnet synchronous motor(IPMSM);fuzzy control;

disturbance observer




Back to Top

Copyright Tianjin Electric Research Institute Co., Ltd Jin ICP Bei No. 07001287 Powered by Handynasty

Online illegal and bad information reporting hotline (Hedong District):022-84376127
Report Mailbox:wangzheng@tried.com.cn