The GA-BP Algorithm Based Controler of PID Neural Network audits Application

摘要：

Aiming at the shortages of traditional PID controller, and also the problems of easily falling into local minimum of BP algorithm, this paragraph proposes a design of PID Neural Network (PIDNN) controler based on GA-BP algorithm. This controller fully absorbs the global-searching capability of genetic algorithm, and the precisely localpositioning ability of the BP algorithm. So it helps the controller to confirm its network-weights and system parameters swiftly and accurately through self-learning and self-optimization. The simulation result shows, compared with traditional PID controller, this controller has greatly improved its control performances. This would have some theoretical and practical significance.

关键词： PID neural network BP algorithm genetic

作者: Fang Ding Yun Zhang

作者单位: Department of Aeronautic Automation Civil Aviation University of China Tianjin, China

会议类型: 国际会议

会议名称: 2011 Seventh International Conference on Natural Computation(第七届自然计算国际会议 ICNC 2011)

会议地点: 上海

会议语种:英文

页码: 1-4

在线出版日期: 2011-07-26（万方平台首次上网日期，不代表论文的发表时间）