Study of Adaptive PID Controller Based on Single Neuron and Genetic Optimization

摘要：

It is necessary to select the proportion weights and study speeds in the design of single neuron PID controller, and in order to improve its performance, a method utilizing genetic algorithm to optimize these parameters of single neuron PID controller is presented. And some developed genetic algorithm methods are proposed, such as combining roulette wheel selection with elitist selection, using adaptive crossing and mutation operator and great mutation probability strategy, so the efficiency of optimal is improved. The simulation results of an electro-hydraulic position servo control system using adaptive PID controller based on neuron optimization show that the genetic optimize algorithm can get better control characteristics, the problem that it is difficult to select parameters of single neuron PID controller is solved.

关键词： PID Control Single Neuron Genetic Algorithm Optimization

作者: Hao Lin Ma Changlin Li Feng

作者单位: Xian Research Inst.Of Hi-tech Hongqing Town,Xian,shanxi Province,China

会议类型: 国际会议

会议名称: 第八届国际电子测量与仪器学术会议(Proceedings of 2007 8th International Conference on Electronic Measurement & Instruments)

会议地点: 西安

会议语种:英文

在线出版日期: 2007-08-16（万方平台首次上网日期，不代表论文的发表时间）