A probabilistic robust mixed H2/H∞ fuzzy control method for hypersonic vehicles based on reliability theory. (22nd January 2018)

• Record Type: Journal Article
• Authors: Yin, Xiaomeng; Li, Xinming; Liu, Lei; Wang, Yongji; Wei, Xing
• Is Part Of: International journal of advanced robotic systems. Volume 15:Number 1(2018:Jan./Feb.)
• Publication Date: 2018-01-22
• Subjects: Hypersonic vehicle -- fuzzy control -- reliability method -- mixed H2/H∞ control -- robust control; Robotics -- Periodicals; Robotics; Periodicals; 629.892
• DOI: 10.1177/1729881417754153
• Languages: English
• ISSNs: 1729-8806

Abstract

Achieving balance between robustness and performance is always a challenge in the hypersonic vehicle flight control design. In this research, we focus on dealing with uncertainties of the fuzzy control system from the viewpoint of reliability. A probabilistic robust mixed H 2 / H ∞ fuzzy control method for hypersonic vehicles is presented by describing the uncertain parameters as random variables. First, a Takagi–Sugeno fuzzy model is employed for the hypersonic vehicle nonlinear dynamics characteristics. Next, a robust fuzzy controller is developed by solving a reliability-based multi-objective linear matrix inequality optimization problem, in which the H 2 / H ∞ performance is optimized under the condition that the system is robustly reliable to uncertainties. By this method, the system performance and reliability can be taken into account simultaneously, which reduces the conservatism in the robust fuzzy control design. Finally, simulation results of a hypersonic vehicle demonstrate the feasibility and effectiveness of the presented method.