Adaptive Self-Learning Fuzzy Autopilot Design for Uncertain Bank-to-Turn Missiles

UM > Faculty of Science and Technology

Status	已發表Published
	Adaptive Self-Learning Fuzzy Autopilot Design for Uncertain Bank-to-Turn Missiles
	Rong, H.J.; Yang, Z.X.; Wong, P. K.; Vong, C. M.
	2017-04-01
Source Publication	Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME (SCI-E)
ISSN	0022-0434
Pages	1-12
Abstract	This paper proposes an adaptive self-learning fuzzy autopilot design for uncertain bank-to-turn missiles due to external disturbances and system errors from the variations of the aerodynamic coefficients and control surface loss. The self-learning fuzzy systems called extended sequential adaptive fuzzy inference systems (ESAFISs) are utilized to compensate for these uncertainties in an adaptive backstepping architecture. ESAFIS is a realtime self-learning fuzzy system with simultaneous structure identification and parameter learning. The fuzzy rules of the ESAFIS can be added or deleted based on the input data. Based on the Lyapunov stability theory, adaptation laws are derived to update the consequent parameters of fuzzy rules, which guarantees both tracking performance and stability. The robust control terms with the adaptive bound-estimation schemes are also designed to compensate for modeling errors of the ESAFISs by augmenting the self-learning fuzzy autopilot control laws. The proposed autopilot is validated under the control surface loss, aerodynamic parameter perturbations, and external disturbances. Simulation study is also compared with a conventional backstepping autopilot and a neural autopilot in terms of the tracking ability. The results illustrate that the designed fuzzy autopilot can obtain better steady state and transient performance with the dynamically self-learning ability.
Keyword	Adaptive Self-Learning fuzzy inference systems Bank-to-Turn Missiles
Language	英語English
The Source to Article	PB_Publication
PUB ID	27751
Document Type	Journal article
Collection	Faculty of Science and Technology
Corresponding Author	Rong, H.J.
Recommended Citation GB/T 7714	Rong, H.J.,Yang, Z.X.,Wong, P. K.,et al. Adaptive Self-Learning Fuzzy Autopilot Design for Uncertain Bank-to-Turn Missiles[J]. Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME (SCI-E), 2017, 1-12.
APA	Rong, H.J.., Yang, Z.X.., Wong, P. K.., & Vong, C. M. (2017). Adaptive Self-Learning Fuzzy Autopilot Design for Uncertain Bank-to-Turn Missiles. Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME (SCI-E), 1-12.
MLA	Rong, H.J.,et al."Adaptive Self-Learning Fuzzy Autopilot Design for Uncertain Bank-to-Turn Missiles".Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME (SCI-E) (2017):1-12.

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