Adaptive PID Controller Based on Single Neuron

摘要：

　　An adaptive PID controller based on single neuron is proposed.The properties,control algorithm,parameters tuning,the control law and the application condition of the controller are studied in the paper.To satisfy the properties of the requirements of the control system in an electromotor group,such as a broad dynamic changing range,a fast response,a little overshoot and time-variable parameter,a new-type self-optimizing PID controller based on artificial neural networks is proposed and studied.It is verified that the controller has few adjustable parameters and excellent robust performance.The results of simulation and experiment prove that the controller is superior to the traditional PID controller.

关键词： PID controller fuzzy rules feedback control system single neuron

作者: Xinyun Qiu Yuan Gao

作者单位: Department of Automation Northeastern University at Qinhuangdao,Qinhuangdao,China

会议类型: 国际会议

会议名称: 2012 International Conference on Intelligent System and Applied Material(2012智能系统与应用材料国际会议)(GSAM2012)

会议地点: 太原

会议语种:英文

页码: 981-985

在线出版日期: 2012-01-13（万方平台首次上网日期，不代表论文的发表时间）