文献类型：会议论文

英文题名：Azimuth Axis Servo System Integrated Control Based on Sliding-Mode Control

作者：Wang, Shufang[1];Zhang, Jiancheng[1];Guo, Honghong[1]

第一作者：王淑芳

通讯作者：Wang, SF[1]

机构：[1]Beijing Union Univ, Sch Mech Elect, Beijing 100020, Peoples R China

第一机构：北京联合大学机器人学院

通讯机构：[1]corresponding author), Beijing Union Univ, Sch Mech Elect, Beijing 100020, Peoples R China.|[1141739]北京联合大学机器人学院;[11417]北京联合大学;

会议论文集：International Conference on Information Science, Automation and Material System

会议日期：MAY 21-22, 2011

会议地点：Zhengzhou, PEOPLES R CHINA

语种：英文

外文关键词：antenna servo system; RBF neural network; sliding-mode control

摘要：On the basis of LuGer friction model, an integrated sliding-mode control strategy is proposed to deal with servo system nonlinear and uncertain factors effectively. The control strategy includes two parts. One is nominal model without considering disturb and uncertain, the other is real model including disturb and uncertain. To one part, choose reasonable sliding surface and design controller law. To another part, PTSC algorithm and NNC algorithm combines together to optimize RBF neural network in order to acquire upper bound of uncertain. Simulation and experiment results show that proposed control strategy better servo system performance.