Optimal non-linear robust control for non-linear uncertain systems

被引:25
|
作者
Haddad, WM [1 ]
Chellaboina, V
Fausz, JL
Leonessa, A
机构
[1] Georgia Inst Technol, Sch Aerosp Engn, Atlanta, GA 30332 USA
[2] USAF, Res Lab, Space Vehicle Technol Branch, Kirtland AFB, NM 87117 USA
关键词
D O I
10.1080/002071700219687
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper we develop an optimality-based robust control framework for non-linear uncertain systems with strictured parametric uncertainty. Specifically, using an optimal non-linear robust control framework, we develop a family of globally stabilizing robust backstepping controllers parametrized by the cost functional that is minimized. Furthermore, it is shown that the Lyapunov function for the closed-loop system guaranteeing robust stability over a prescribed range of structured system parametric uncertainty is a solution to the steady-state Hamilton-Jacobi-Bellman equation for the controlled system and thus guarantees robust stability and robust performance. The results are then used to design robust controllers for jet engine compression systems with uncertain system dynamics.
引用
收藏
页码:329 / 342
页数:14
相关论文
共 50 条