Self-Evolving Fuzzy Model-based Controller with Online Structure and Parameter Learning for Hypersonic Vehicle

UM > Faculty of Science and Technology > DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE

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	Self-Evolving Fuzzy Model-based Controller with Online Structure and Parameter Learning for Hypersonic Vehicle
	Rong, H.J.; Yang, Z.X.; Wong, P. K.; Vong, C. M.; Zhao, G.S.
	2017
Source Publication	Aerospace Science and Technology (SCI-E)
ISSN	1270-9638
Pages	1-15
Abstract	This paper presents a self-evolving fuzzy model-based controller for a generic hypersonic vehicle (HV). The self-evolving fuzzy model can dynamically evolve its rule base through evaluating the influence of a rule and then is introduced to reconstruct the unknown dynamics so that the changing dynamics and unknown uncertainties of the HV are integrated. The control law is designed using the fuzzy identified model instead of the actual HV one. The stability analysis of the whole control system is presented from the Lyapunov function and shows that the tracking errors converge to zero. The bounds of the control inputs are considered in this study and ensured by means of the stable projection-type parameter adaptation laws. To reduce the computation complexity, only the parameters of a ‘winner’ rule closest to the current state are adjusted while those of other rules maintain unvaried. This differs from the existing studies in which the parameters of all rules need to be adjusted. The simulation results under the nominal conditions and parameter uncertainties demonstrate the superior performance of the proposed controller.
Keyword	Hypersonic vehicle Self-evolving fuzzy model Structure learning Parameter learning
Language	英語English
The Source to Article	PB_Publication
PUB ID	28749
Document Type	Journal article
Collection	DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding Author	Rong, H.J.
Recommended Citation GB/T 7714	Rong, H.J.,Yang, Z.X.,Wong, P. K.,et al. Self-Evolving Fuzzy Model-based Controller with Online Structure and Parameter Learning for Hypersonic Vehicle[J]. Aerospace Science and Technology (SCI-E), 2017, 1-15.
APA	Rong, H.J.., Yang, Z.X.., Wong, P. K.., Vong, C. M.., & Zhao, G.S. (2017). Self-Evolving Fuzzy Model-based Controller with Online Structure and Parameter Learning for Hypersonic Vehicle. Aerospace Science and Technology (SCI-E), 1-15.
MLA	Rong, H.J.,et al."Self-Evolving Fuzzy Model-based Controller with Online Structure and Parameter Learning for Hypersonic Vehicle".Aerospace Science and Technology (SCI-E) (2017):1-15.

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