Permanent magnet synchronous generation based on particle swarm optimized sliding mode control strategy

Abstract

Abstract: A sliding mode controller with Particle Swarm Optimization（PSO） algorithm optimization of the controller parameters is designed to enhance the performances of Direct-drive Permanent Magnet Synchronous Generator（D-PMSG） control system. The results indicate that the sliding mode controller has better performance compared with traditional Proportional Integral（PI） controller, and the PSO algorithm is proved valid for the design of sliding mode controller in addition.

Key words: wind power, Permanent Magnet Synchronous Generator, sliding mode control, Particle Swarm Optimization（PSO）

摘要： 为了改善直驱永磁同步风力发电机控制系统的控制性能，设计了一种滑模控制器。运用Matlab/Simulink建立了直驱型永磁同步风力发电机的仿真模型。提出外环采用转速闭环控制控制策略，用于跟踪最佳转速，以实现风力发电系统的最大功率跟踪控制。针对转速闭环控制采用一种新型的趋近律设计了滑模控制器，并用微粒群优化算法对控制器参数进行寻优。所设计的控制器性能与比例积分（PI）控制器进行了对比，结果表明优化参数后的滑模控制器拥有更好的控制效果，同时也表明采用 PSO 算法进行控制器设计是有效、可行的。

关键词: 风力发电, 永磁同步发电机, 滑模控制, 微粒群优化算法

ZHANG Min, TANG Dongcheng, ZHANG Junyue, YI Zhiwei, ZHU Hongping, CHEN Wei. Permanent magnet synchronous generation based on particle swarm optimized sliding mode control strategy[J]. Computer Engineering and Applications, 2015, 51(22): 266-270.

张敏，唐东成，张君跃，易志威，朱红萍，陈微. 基于微粒群算法的永磁同步发电机滑模控制[J]. 计算机工程与应用, 2015, 51(22): 266-270.

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Permanent magnet synchronous generation based on particle swarm optimized sliding mode control strategy

基于微粒群算法的永磁同步发电机滑模控制

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