Automatic Guidance of Vehicle Using Fuzzy Control (1st Report)

Autor:	Guo-Wen Wang, Yue Bao, Naofumi Fujiwara
Rok vydání:	1997
Předmět:	Position (vector) Computer science Simple (abstract algebra) Automatic guidance Image processing Control engineering Mobile robot Fuzzy control system Fuzzy logic Course (navigation)
Zdroj:	Transactions of the Institute of Systems, Control and Information Engineers. 10:470-479
ISSN:	2185-811X 1342-5668
DOI:	10.5687/iscie.10.470
Popis:	In this study a new automatic guidance method using fuzzy control for vehicles such as cars and mobile robots is proposed. This proposed method is based on a general fuzzy steering model (GFSM) and a simple position and orientation measurement method by image processing for the vehicles. This GFSM can be applied to vehicles of various sizes, speeds, etc., and courses of different widths. It can also be applied to courses of any shape.In this paper, the input variables of the fuzzy control rules are defined as relative quantity and the GFSM is identified. An approach of applying the GFSM to corner courses with general angles by modifying the steering angle according to the angle of the corner is developed. A way of applying the GFSM to any curved courses by regarding a curved course as a unreal corner course is considered. The effectiveness is confirmed by simulation.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::34ca52b106a1ab439942d98c9a265ffc https://doi.org/10.5687/iscie.10.470 Zobrazit plný text záznamu