《机床与液压》 Hydromechatronics Engineering

文章详情

稿件标题: Improved Algorithm of PSO and Its Application in Parameter
稿件作者: AO Chao-hua, BI Jian-chao
关键字词: particle swarm optimization algorithm, genetic algorithm, human simulated intelligent controller, parameter tuning
文章摘要: Hydromechatronics engineering is a complex system, and the control algorithm and parameter of control system directly influence the control quality of system. Aimed at the puzzle that the control effect of conventional PID controller is not as good as expected for the control system with nonlinearity and strong coupling, and it is very difficult to tune the parameters, this paper designed a sort of improved controller of human simulated intelligence based on the improved algorithm of PSO. By means of improved particle swarm optimization algorithm, this paper conducted the research on parameter tuning of controller, drew lessons from operation factor characteristic in genetic algorithm based on particle swarm optimization, and presented a sort of improved particle swarm optimization algorithm with genetic thought. Under the condition of Matlab environment, the simulation experiment has been conducted and the superiority of this improved algorithm has been validated. By using Simuli
收录刊物: 2012.12
稿件基金:
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