Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4974213 | Journal of the Franklin Institute | 2016 | 16 Pages |
Abstract
This paper focuses on the problem of robust model predictive tracking control for the flexible air-breathing hypersonic flight vehicle in the presence of state, actuator constraints and input delays. Constraints, as well as input time delays, are the highly challenging problems in the design of flight control system. Based on linear parameter varying (LPV) model obtained by Tensor-Product model transformation technology, a novel parameter dependent robust model predictive control (PD-RMPC) algorithm with explicit time-delay compensation is presented. Since developing the robust tracking controller with delay compensation, the proposed method is much less conservative and better performance. Finally, the numerical simulation results prove availability of the proposed method.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Qin Weiwei, He Bing, Liu Gang, Zhao Pengtao,