基于改进麻雀搜索算法分数阶PI的PMSM调速策略
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桂林理工大学

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TM341;TN830

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广西自然科学基金项目(2021GXNSFAA220038);广西壮族自治区研究生教育创新计划项目(YCSW2024372)


Speed regulation strategy of PMSM based on fractional order proportional integral with improved sparrow search algorithm
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    摘要:

    永磁同步电机调速系统采用传统比例积分双闭环控制结构存在抗扰性能差与响应速度慢的问题。为此,文中在建立PMSM数学模型和分析传统PI参数设计方法的基础上,提出一种基于改进麻雀搜索算法分数阶比例积分的PMSM调速优化策略,通过在常规SSA中引入佳点集初始化策略和黄金正弦更新策略,解决了SSA易陷入局部最优的问题,提高了收敛速度和精度,以进一步改善PMSM调速系统的响应性能。最后通过MATLAB仿真对比结果可知,所述ISSA-FOPI调速改进策略在四种工况下具有最短的调节时间分别为1.2 ms、0.9 ms、9.9 ms与12.1 ms,和最小的超调量分别为0.16 %、0.16 %、0.05 %与0.6 %,这充分体现了所述策略的有效性与优越性。

    Abstract:

    The speed control system of permanent magnet synchronous motor with the traditional proportional integral dual closed-loop control structure has drawbacks on anti-interference performance and response speed. Therefore, under the research of PMSM mathematical model and analysis of traditional PI parameter design methods, this article proposes a PMSM speed control optimization strategy based on the fractional order proportional integral with improved sparrow search algorithm. By introducing good point set initialization strategy and golden sine update strategy into conventional SSA, the problem of SSA easily falling into local optima is solved, which improves the convergence speed and accuracy, leading to better response performance of the PMSM speed control system. Finally, the MATLAB simulation results show that the ISSA-FOPI speed regulation improvement strategy has the shortest adjustment time of 1.2 ms, 0.9 ms, 9.9 ms and 12.1 ms respectively under the four working conditions, and the minimum overshooting is 0.16 %, 0.16 %, 0.05 % and 0.6 % respectively. This fully embodies the effectiveness and superiority of the strategy.

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  • 收稿日期:2024-04-25
  • 最后修改日期:2024-07-05
  • 录用日期:2024-07-08
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