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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
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