空间控制技术与应用2017，Vol.43Issue(2)：7-12,35,7.DOI:10.3969/j.issn.1674-1579.2017.02.002
基于神经网络的自由漂浮空间机械臂自适应鲁棒控制
Adaptive Robust Control Method of Free-Floating Space Manipulators Based on Neural Network
摘要
Abstract
Trajectory tracking control problems of free-floating space manipulators with uncertainty are considered,and a robust adaptive control method is put forward based on neural network.The dynamics model of uncertain space manipulators is established,and the unknown nonlinear parts of system model are considered.A neural network controller is designed to approach the unknown uncertain parts,by the way the traditional upper bound of conservative is be avoided estimating.Taylor technology is used to linearize the Gaussian function of neural network hidden layer.Then the adaptive learning laws of the network weight parameters,the hidden layer center and width of Gaussian function are designed to guarantee the online real-time adjustment.The robust adaptive controller is designed to compensate the amount of high-order item and the approximation errors for better control accuracy.The uniformly ultimately bounded (UUB) of the closed-loop system is proved based on the Lyapunov theory.Simulation results show that the proposed control method can get better control accuracy,and the controller has important engineering value for the space manipulator.关键词
空间机械臂/神经网络/鲁棒控制/自适应控制/一致最终有界Key words
space manipulator/neural network/robust control/adaptive control/uniformly ultimately bounded分类
信息技术与安全科学引用本文复制引用
王超,江洁,林森海,张文辉,陈荣昌..基于神经网络的自由漂浮空间机械臂自适应鲁棒控制[J].空间控制技术与应用,2017,43(2):7-12,35,7.基金项目
浙江省自然科学基金(LY14F030005),浙江省科技厅项目(2015C31160),浙江省教育厅项目(Y201534043)(Y201636936),丽水市高层次人才资助项目(2015RC04)和丽水市科技计划项目(2015KCPT03). （LY14F030005）
