Application of NN-based Backstepping Adaptive Controller for Stabilized Platform of Shipborne Weapons

摘要：

A neural network (NN)-based backstepping adaptive control is proposed for the stabilized platform system of shipborne weapons (SPOSW) with uncertain nonlinear friction torque and load disturbance.First,with the using of NN approximator,an equivalent model is developed.Where the NN is used to estimate the uncertain nonlinear friction torque.Then,based on the equivalent model,address the problem of reconstruction error and disturbance load,an adaptive backstepping control scheme is proposed for the stabilized platform system.Moreover,the analysis of stability can be completed by Lyapunov stability theory,and the convergence rate of the tracking error can be governed by the choice of the control parameter values.Finally,to demonstrate the effectiveness of the proposed control scheme,simulation results are illustrated.

关键词： Shipborne weapons Adaptive control Neural networks Backstepping control Lyapunov stability theory

作者: Li-Dong Guo Zhen-Fan Tan Li-Xin Yang Li-Jun Zhang

作者单位: College of Automation Harbin Engineering University Harbin,Heilongjiang Province 150001,China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 271-276

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）