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首页> 外文期刊>Mathematical Problems in Engineering >PI Controller of Speed Regulation of Brushless DC Motor Based on Particle Swarm Optimization Algorithm with Improved Inertia Weights
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PI Controller of Speed Regulation of Brushless DC Motor Based on Particle Swarm Optimization Algorithm with Improved Inertia Weights

机译：基于改进惯性权重粒子群算法的无刷直流电动机调速PI控制器

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摘要

The brushless director current (DC) motor is a new type of mechatronic motor that has been developed rapidly with the development of power electronics technology and the emergence of new permanent magnet materials. Based on the speed regulation characteristics, speed regulation strategy, and mathematical model of brushless DC motor, a parameter optimization method of proportional-integral (PI) controller on speed regulation for the brushless DC motor based on particle swarm optimization (PSO) algorithm with variable inertia weights is proposed. The parameters of PI controller are optimized by PSO algorithm with five inertia weight adjustment strategies (linear descending inertia weight, linear differential descending inertia weight, incremental-decremented inertia weight, nonlinear descending inertia weight with threshold, and nonlinear descending inertia weight with control factor). The effectiveness of the proposed method is verified by the simulation experiments and the related simulation results.
机译：无刷定向电流（DC）电动机是一种新型的机电电动机，随着电力电子技术的发展和新型永磁材料的出现而得到快速发展。基于无刷直流电动机的调速特性，调速策略和数学模型，采用基于变量群算法的比例积分（PI）控制器无刷直流电动机调速参数优化方法。提出了惯性权重。 PI控制器的参数通过PSO算法采用五种惯性权重调整策略（线性下降惯性权，线性微分下降惯性权，增量减小惯性权，带阈值的非线性下降惯性权和具有控制因子的非线性下降惯性权）进行优化。 。仿真实验及相关仿真结果验证了该方法的有效性。

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  • 来源
    《Mathematical Problems in Engineering》 |2019年第5期|2671792.1-2671792.12|共12页
  • 作者

    Xie Wei; Wang Jie-Sheng; Wang Hai-Bo;

  • 作者单位

    Univ Sci & Technol Liaoning, Sch Elect & Informat Engn, Anshan 114044, Peoples R China;

    Univ Sci & Technol Liaoning, Sch Elect & Informat Engn, Anshan 114044, Peoples R China|Univ Sci & Technol Liaoning, Sch Int Finance & Banking, Anshan 114044, Peoples R China;

    HBIS Laoting Steel Co Ltd, Tangshan 063600, Peoples R China;

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