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Intelligent automated guided vehicle controller with reverse strategy

Kato, S. and Wong, K.W. (2011) Intelligent automated guided vehicle controller with reverse strategy. Journal of Advanced Computational Intelligence and Intelligent Informatics, 15 (3). pp. 304-312.

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    Abstract

    This paper describes the intelligent Automated Guided Vehicle (AGV) control system using Fuzzy Rule Interpolation (FRI) method. The AGV used in this paper is a virtual vehicle simulated using computer. The purpose of the control system is to control the simulated AGV by moving along the given path towards a goal. Some obstacles can be placed on or near the path to increase the difficulties of the control system. The intelligent AGV should follow the path by avoiding these obstacles. This system consists of two fuzzy controllers. One is the original FRI controller that mainly controls the forward movement of the AGV. Another one is the proposed reverse movement controller that deals with the critical situation. When the original FRI controller faces the critical situation, our proposed reverse controller will control the AGV to reverse and move forward towards the goal. Our proposed reverse controller utilizes the advantage of FRI method. In our system, we also develop a novel switching system to switch from original to the developed reverse controller.

    Publication Type: Journal Article
    Murdoch Affiliation: School of Information Technology
    Publisher: Fuji Technology Press Co. Ltd.
    Copyright: Fuji Technology Press Ltd
    URI: http://researchrepository.murdoch.edu.au/id/eprint/4472
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