Observer-based robust control for a flexible launch vehicle

Author:

Ou Liuli1,Liu Lei1,Wang Yongji1,Huang Jian1

Affiliation:

1. Key Laboratory of Ministry of Education for Image Processing and Intelligent Control, School of Automation, Huazhong University of Science and Technology, Wuhan, P.R. China

Abstract

This article investigates the problem of robust stabilization for a flexible launch vehicle. Since the launch vehicle suffers from parametric uncertainties, bending modes, and external wind disturbances simultaneously, an observer-based methodology is provided to address these negative factors. The proposed method can guarantee the stability of the closed-loop system and minimize the H performance index. Additional regional pole placement constraints are imposed on the feedback gain matrices to improve the transient performance of the system. A two-step strategy is proposed to solve the involving bilinear matrix inequality problem. Compared with existing methods, which mainly depend on introducing additional constraints to linearize the bilinear matrix inequality conditions, the proposed strategy can reduce the conservatism and is suitable for engineering practice. The simulation results for one operating point and nonlinear model illustrate the validity and effectiveness of the proposed control method.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Control and Systems Engineering

Reference23 articles.

1. Du W. Dynamic modeling and ascent flight control of Ares-I Crew Launch vehicle. PhD Thesis, Iowa State University, Ames, IA, 2010.

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1. Responsive tolerant control: An approach to extend adaptability of launch vehicles;Progress in Aerospace Sciences;2024-08

2. An iterative interval estimation approach to nonlinear discrete-time systems;Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering;2024-05-31

3. A new robust observer design for nonlinear systems with application to fault diagnosis;Transactions of the Institute of Measurement and Control;2017-11-01

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