GENETIC TABOO HYBRID STRATEGY FOR PID REGULATOR PARAMETER ADAPTATION IN BELT CONVEYOR

摘要：

In this paper, a genetic taboo hybrid strategy for PID regulator parameter adaptation is proposed for the belt conveyor driving system. The strategy combines the global search ability of genetic algorithm with the neighborhood search approach of taboo search to find the optimal parameters of the PID regulator in the direct torque control system for mining haulage. Simulation and experiment results show that the genetic taboo hybrid strategy is of better performance than the pure genetic algorithm, because it has the advantage of the small search space and high search speed duo to avoiding of the premature problem by means of taboo mutation.

关键词： Genetic algorithm Taboo search PID Parameter adaptation Belt conveyor Taboo mutation

作者: XIAN-MIN MA

作者单位: College of Electrical and Control Engineering, Xian University of Science & Technology, Xian 710054, China

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 607-612

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）