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.