基于差分进化算法的PMSM模糊反步控制
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贵州大学电气工程学院 贵阳 550025

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TM341;TN63

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国家自然科学基金(62163006,52267003)、贵州省科技厅支撑计划项目(QKHZ[2021]G442,QKHZ[2022]G264,QKHZ[2023]G096,QKHZ[2023]G179)、贵州省科技厅计划项目(QKHCG-LH[2024]Z028)资助


Fuzzy backstepping control of PMSM based on differential evolution algorithm
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College of Electrical Engineering, Guizhou University,Guiyang 550025, China

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    摘要:

    为了提升永磁同步电机的控制性能,针对模糊PID控制下永磁同步电机变速时超调较大,抗干扰性能差等问题,提出了一种基于差分进化算法的永磁同步电机模糊反步控制策略。首先,将模糊控制策略与反步控制理论相结合,对转速环和电流环的结构参数进行调整。接着,在此基础上用差分进化算法对模糊控制器中的结构参数进行优化。最后,通过仿真和实验对所提控制策略进行验证。实验结果表明,在所提控制策略下,电机突加负载时转速降落减小了1.78%;空载下,降速时转速超调量减小了22.9%、升速时转速超调量减小了3.5%,提升了系统的抗干扰能力。

    Abstract:

    In order to improve the control performance of permanent magnet synchronous motor, a fuzzy backstepping control strategy of permanent magnet synchronous motor based on differential evolution algorithm was proposed to solve the problems of large overshoot and poor anti-interference performance of permanent magnet synchronous motor when changing speed under fuzzy PID control. Firstly, the fuzzy control strategy is combined with the backstepping control theory to adjust the structural parameters of the speed loop and the current loop. Then, on this basis, the differential evolution algorithm is used to optimize the structural parameters in the fuzzy controller. Finally, the proposed control strategy is verified by simulation and experiment. The experimental results show that the speed drop of the motor is reduced by 1.78% under the proposed control strategy. Under no-load conditions, the overshoot of speed is reduced by 22.9% when the speed is lowered and 3.5% when the speed is raised, which improves the anti-interference ability of the system.

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黄伟,马家庆,陈昌盛,何志琴,吴钦木.基于差分进化算法的PMSM模糊反步控制[J].电子测量技术,2025,48(4):1-7

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  • 在线发布日期: 2025-04-10
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