NDLI: An Application of the Adaptive Fuzzy Control in the Longitudinal Control of the Platoon

Content Provider	IEEE Xplore Digital Library
Author	Qing Wu Zhiwei He Xiumin Chu Dan Lu
Copyright Year	2008
Description	Author affiliation: Coll. of Logistics Eng., Wuhan Technol. of Univ., Wuhan (Qing Wu; Zhiwei He) \|\| MOE, Wuhan Technol. of Univ., Wuhan (Xiumin Chu; Dan Lu)
Abstract	It is very hard to build the accurate model of the platoon system in the study of the longitudinal control of a platoon, due to uncertainties and time-varying parameters of the platoon system, and the uncertain interference from the circumstance. In this article, the adaptive fuzzy control algorithm is applied into the longitudinal control of the platoon, to avoid the influence of the inaccuracy model. In order to improve the limitation of the traditional fuzzy control, the two-layer architectural fuzzy controller with four input variables is applied, which combines the distance control with the velocity following control to improve the stability of the platoon. In addition, the self-learning corrector is designed to enhance the robust and adaptability of the adaptive fuzzy controller, using the sliding mode control principle. Numerous simulation has been taken to prove that the effectiveness of the two-layer adaptive fuzzy control algorithm.
Starting Page	344
Ending Page	348
File Size	398316
Page Count	5
File Format	PDF
ISBN	9780769534909
DOI	10.1109/PACIIA.2008.182
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Uncertainty Stability Input variables Interference longitudinal control Adaptive control Sliding mode control adaptive fuzzy control Programmable control Fuzzy control Time varying systems Velocity control platoon driving
Content Type	Text
Resource Type	Article

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