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Proceedings Paper

Expert Antiskid System
Author(s): N. Matsumoto; H. Kuraoka; N. Ohka; M. Ohba; T. Tabe
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Paper Abstract

In this paper we discuss how to generate the command value for the optimal regulator in an automotive antiskid system. First, the behavior of the vehicle at braking is expressed as a mathematical model with the formulation by physical consideration and identification of the hydraulic system by statistical methods. An optimal regulator with additional integral is applied to the automotive antiskid control in order to make the each wheel speed follow any command value. However, the desired command value to stop the vehicle efficiently and stably is dependent on ambiguous road surface conditions. Thus, how to determine the desired command value under the moment-to-moment conditions is most important. A method for inferring the conditions is developed using fuzzy logic, with three fuzzy variables expressing the conditions adequately. On the basis of the inference, the ideal command values are generated. Outstanding control performance and good adaptability are obtained in vehicle experiments. Consequently, the Expert Antiskid System, employing modern control theory and fuzzy logic, can stop a vehicle efficiently and stably under any condition.

Paper Details

Date Published: 19 October 1987
PDF: 7 pages
Proc. SPIE 0857, IECON'87:Automated Design and Manufacturing, (19 October 1987); doi: 10.1117/12.943267
Show Author Affiliations
N. Matsumoto, Nippondenso Co. (Japan)
H. Kuraoka, Nippondenso Co. (Japan)
N. Ohka, Nippondenso Co. (Japan)
M. Ohba, Nippondenso Co. (Japan)
T. Tabe, Nippondenso Co. (Japan)

Published in SPIE Proceedings Vol. 0857:
IECON'87:Automated Design and Manufacturing
Victor K.L. Huang, Editor(s)

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