Title: Tracking performance analysis of flight control system based on H-infinity theory

Authors: Shuai Dong; Zhisheng Wang; Yongji Wang; Lei Liu; Liuli Ou

Addresses: Key Lab for Image Processing and Intelligent Control, Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China ' Key Lab for Image Processing and Intelligent Control, Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China ' Key Lab for Image Processing and Intelligent Control, Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China ' Key Lab for Image Processing and Intelligent Control, Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China ' Key Lab for Image Processing and Intelligent Control, Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China

Abstract: This paper proposes robust tracking performance criterion for flight control system clearance while other linear methods focus on robust stability criterion or stability margin criterion. The new criterion aims at guarantee of fast and accurate tracking of designated trajectory when flight control system suffers from uncertain parameters. With H_∞ theory, the clearance problem is transformed to a series of linear matrix inequalities on the vertices of parametric space. When the criterion is violated, two adaptive strategies are developed to identify the flyable region in parametric space. The proposed method is performed on a bank-to-turn missile as an example to illustrate the clearance process. Then the clearance result is validated by simulation.

Keywords: robust tracking; tracking performance; LMI; linear matrix inequalities; clearance criterion; H-infinity; parametric uncertainty; flight control systems; trajectory tracking; simulation.

DOI: 10.1504/IJMIC.2013.055434

International Journal of Modelling, Identification and Control, 2013 Vol.19 No.3, pp.290 - 298

Published online: 27 Sep 2014 *

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