Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8057190 | Aerospace Science and Technology | 2018 | 11 Pages |
Abstract
This paper addresses the Input Covariance Constraint (ICC) control problem with guaranteed Hâ performance for continuous-time Linear Parameter-Varying (LPV) systems. The upper bound of the output covariance is minimized subject to the constraints on input covariance and Hâ output performance. This problem is an extension of the mixed H2/Hâ LPV control problem, in that the resulting gain-scheduling controllers guarantee not only closed-loop system robustness in terms of Hâ norm bound but also output covariance performance over the entire scheduling parameter space. It can be shown that this problem can be efficiently solved by utilizing the convex optimization of Parameterized Linear Matrix Inequalities (PLMIs). The main contributions of this paper are to characterize the mixed ICC/Hâ LPV control problem using PLMIs and to develop the optimal state-feedback gain-scheduling controllers, while satisfying both input covariance and Hâ constraints. The effectiveness of the proposed control scheme is demonstrated through vibration suppression of a blended-wing-body airplane model.
Related Topics
Physical Sciences and Engineering
Engineering
Aerospace Engineering
Authors
Tianyi He, Ali K. Al-Jiboory, Guoming G. Zhu, Sean S.-M. Swei, Weihua Su,