A novel fault-tolerant control strategy for near space hypersonic vehicles via least squares support vector machine and backstepping method

Song, Jia and Lin, Jiaming and Yang, Erfu (2016) A novel fault-tolerant control strategy for near space hypersonic vehicles via least squares support vector machine and backstepping method. In: 22nd International Conference on Automation and Computing, ICAC 2016, 2016-09-07 - 2016-09-08, University of Essex. (https://doi.org/10.1109/IConAC.2016.7604914)

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Abstract

Near Space Hypersonic Vehicle (NSHV) could play significant roles in both military and civilian applications. It may cause huge losses of both personnel and property when a fatal fault occurs. It is therefore paramount to conduct fault-tolerant research for NSHV and avoid some catastrophic events. Toward this end, this paper presents a novel fault-tolerant control strategy by using the LSSVM (Least Squares Support Vector Machine)-based inverse system and Backstepping method. The control system takes advantage of the superiority of the LSSVM in solving the problems with small samples, high dimensions and local minima. The inverse system is built with an improved LSSVM. The adaptive controller is designed via the Backstepping which has the unique capability in dealing with nonlinear control systems. Finally, the experiment results demonstrate that the proposed method performs well.

ORCID iDs

Song, Jia, Lin, Jiaming and Yang, Erfu ORCID logoORCID: https://orcid.org/0000-0003-1813-5950;