基于小生境粒子群算法的SPWM逆变器准PR控制优化研究  

Study on Parameters Optimization of Quasi-PR Controller for SPWM Inverter Using Niching PSO Algorithm

作　　者：王永林[1] 艾明[2] 瞿博阳[1] 

机构地区：[1]中原工学院,郑州450007 [2]郑州升达经贸管理学院,郑州451191

出　　处：《中原工学院学报》2015年第3期13-18,共6页Journal of Zhongyuan University of Technology

基　　金：国家自然科学基金项目(61305080);河南省高校科技创新团队支持计划(14IRTSTHN024)

摘　　要：研究了一种采用小生境粒子群算法优化设计SPWM逆变器准比例谐振(PR)控制器参数的方法。逆变器采用输出电压瞬时值反馈和电感电流反馈双闭环控制。PR控制可以克服常规PI控制难以消除交流输入系统稳态误差的缺陷,但在控制器参数设计上没有成熟技术。为此,给出采用LCL滤波器双环控制SPWM逆变器的数学模型和结构框图;用小生境粒子群算法构造灾变算子、迁徙算子和隔离算子,增强种群的多样性和算法的优化性能。介绍了采用小生境粒子群算法优化准PR控制器的步骤。对开环控制、PI控制和准PR控制的控制效果进行比较,验证了小生境粒子群算法的性能。A parameter design method of the quasi proportional-resonant （ PR） controller of a single-phase volt-age SPWM inverter using an improved niching particle swarm optimization （ PSO） algorithm is studied in this paper. The inverter adapts the double closed-loop control strategy with the instantaneous output voltage and inductor-current feedback. PR control strategy can overcome the disadvantages of the traditional PI control strategy which can not elimi-nate the steady-state error of AC input. However, there are some questions in designing for PR controller. The mathe-matical model and system structure of the SPWM inverter with LCL output filter are given. A niching PSO algorithm is presented which uses cataclysm operator, emigration operator and isolation operator to maintain the diversity of the popu-lation and improve the global optimizing ability. The steps of optimizing the parameters of PR controller using niching PSO algorithm are demonstrated. In comparison with open-loop control method and PI control method, the test results verify the performance of the proposed method.

关 键 词：SPWM 逆变器 小生境技术 粒子群算法 准比例谐振( PR)控制 LCL滤波器 

分 类 号：TM464[电气工程—电器] TP181[自动化与计算机技术—控制理论与控制工程]