Robust Feedback Linearization Control for BTT Missile with NN Based Uncertainty Estimation

摘要：

A new nonlinear control strategy incorporated feedback linearization method with guaranteed cost control and adaptive neural networks is presented for the nonlinear model of bank-to-turn missile.The feedback linearization method is used to linearize and decouple the nonlinear system.Since the uncertainties will degrade the performance,the guaranteed cost control is adopted via linear matrix inequality when the upper bound of uncertainties is fixed.In order to eliminate the effect of high-order uncertain terms,adaptive neural network estimators with Lyapunov based tuning rules are brought into the control loop.After the proposed method applied to a specified BTT missile model,the more improved tracking performance compared with conventional method in numerical simulation illustrates the feasibility and superiority of this strategy.

关键词： feedback linearization guaranteed cost control neural network estimator linear matrix inequality bank-to-turn missile

作者: Hao Wu Yongji Wang Zongzhun Zheng

作者单位: Department of Control Science and Engineering,Key Laboratory of Ministry of Education for Image Processing and Intelligent Control,Huazhong University of Science and Technology,Wuhan,Hubei Province,430074,China

会议类型: 国际会议

会议名称: International Conference on Modelling,Identification and Control(模拟、鉴定、控制国际会议)

会议地点: 上海

会议语种:英文

在线出版日期: 2008-06-29（万方平台首次上网日期，不代表论文的发表时间）