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基于粒子群算法的逆变电路PID控制
引用本文:刘端鹏. 基于粒子群算法的逆变电路PID控制[J]. 科技咨询导报, 2013, 0(6): 32-33
作者姓名:刘端鹏
作者单位:华东师范大学信息科学技术学院 上海200241
摘    要:针对逆变控制系统中PID控制器参数整定困难的问题,提出了基于粒子群算法的逆变电路PID控制器设计方法.通过推导逆变电路模型得到逆变电路传递函数,以该传递函数作为PID控制对象,利用粒子群算法搜索PID参数.MATLAB仿真结果证明了该方法的可行性和优越性.与采用遗传算法相比较,该粒子群算法能更快的获得合适的PID控制参数,所需迭代次数更少.

关 键 词:粒子群算法  PID控制  逆变电路  遗传算法

Particle swarm algorithm based on PID inverter control
LIU Duanpeng. Particle swarm algorithm based on PID inverter control[J]. , 2013, 0(6): 32-33
Authors:LIU Duanpeng
Affiliation:Liu Duanpeng(School of information science and technology,East China Normal University Shanghai 200241)
Abstract:A method of designing a PID controller to control the inverter circuit is provided,which bases on the Particle Swarm Optimization and focuses on the PID controller parameter tuning issue.A transfer function is deduced from the inverter circuit model and is used as a control object of the PID controller.The PSO is used to search the best PID parameters.MATLAB simulation results demonstrated the feasibility and advantages of this method.Compared with the genetic algorithm,the particle swarm algorithm can be faster to get the proper PID control parameters and required less the number of iterations.
Keywords:PSO PID controller GA inverter circuit
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