文献类型：会议论文

英文题名：Servo System Compound Control Based on SMC

作者：Wang, Shufang[1];Yang, Zhiyong[2];Zhao, Linhui[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;[2]Astronaut Long March Rocket Technol Limiting Co, Beijing 100076, 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 Industry, Information System and Material Engineering

会议日期：APR 16-17, 2011

会议地点：Guangzhou, PEOPLES R CHINA

语种：英文

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

摘要：It is difficult to fulfill effective control since nonlinear and uncertain factors for an antenna servo system. In this paper, a compound sliding-mode control strategy is proposed. In order to control servo system effectively, depart it into two parts. One is reference 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, RBF neural network is taken in order to acquire upper bound of uncertain. Simulation and experiment results show the effect of control scheme.