Four wheel steering control system design using fuzzy models

Author

Will, Anthony B. ; Teixeira, Marcelo C M ; Zak, Stanislaw H.

Author_Institution

GM Electr. Center, Warren, MI, USA

fYear

1997

fDate

5-7 Oct 1997

Firstpage

73

Lastpage

78

Abstract

A fuzzy logic four wheel steering control system design method using a vehicle fuzzy model is described in this paper. The controller design consists of two stages: 1) an optimal steering controller is constructed for each local model that is a part of the fuzzy model; and 2) local controllers are combined using fuzzy rules to form a fuzzy logic controller. The performance of the fuzzy controller is tested on the vehicle fuzzy model and on the nonlinear detailed vehicle model. Simulations indicate that the dynamic properties of the detailed nonlinear vehicle model are captured with the simple fuzzy model. The fuzzy model´s dynamic responses are much closer to the responses of the nonlinear model as compared with those of the linearized model

Keywords

automobiles; control system synthesis; dynamics; fuzzy control; fuzzy logic; nonlinear systems; optimal control; position control; automobiles; dynamics; four wheel steering control; fuzzy control; fuzzy logic; fuzzy models; nonlinear vehicle model; optimal control; Automotive engineering; Control system synthesis; Design methodology; Fuzzy control; Fuzzy logic; Fuzzy systems; Nonlinear dynamical systems; Tires; Vehicle dynamics; Wheels;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Applications, 1997., Proceedings of the 1997 IEEE International Conference on

Conference_Location

Hartford, CT

Print_ISBN

0-7803-3876-6

Type

conf

DOI

10.1109/CCA.1997.627476

Filename

627476