INVERSE COMPENSATION METHOD FOR THE EXECUTOR WITH DEADZONE BASED ON ADAPTIVE INVERSE CONTROL

摘要：

A deadzone inverse compensation of second-order neural network method based on adaptive inverse control is proposed for the nonlinear compensation of the system input.The neural network here is applied to approximating the inverse of deadzone to eliminate the effect of system deadzone, which achieved the dynamic compensation for the unknown nonlinearity of deadzone.This method doesnt require any hypothesis of nonlinear and constraint for deadzone, and realized the compensation strategy composed of estimator and compensator using neural network, which provides a new solution for nonlinear compensation.

关键词： Neural network Adaptive inverse control Deadzone compensation

作者: PING YU ZHONG-BIN ZHAO CUO-JU BAO

作者单位: Beijing Guodian Kehuan Clean Combustion Engineering & Technology Corporation, Beijing 100039, China

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 583-587

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）