Generating fuzzy rules for the acceleration control of an adaptive cruise control system

Author

Holve, R. ; Protzel, P. ; Naab, K.

Author_Institution

Bavarian Res. Center for Knowledge-Based Syst., Erlangen, Germany

fYear

1996

fDate

19-22 Jun 1996

Firstpage

451

Lastpage

455

Abstract

A procedure for the data-driven generation of fuzzy rules is described, which was used in the development of an adaptive fuzzy controller to assist a driver in vehicle speed and distance control. The driver remains in the control loop of the ACC (adaptive cruise control) system through haptical feedback via the accelerator pedal. Thus, the control of the pedal behavior is crucial for the system´s acceptance by the driver. The fuzzy ACC system has been installed in a test car and was tested in normal road traffic

Keywords

acceleration control; adaptive control; automobiles; feedback; fuzzy control; intelligent control; man-machine systems; traffic control; velocity control; acceleration control; accelerator pedal; adaptive cruise control system; adaptive fuzzy controller; control loop; data-driven fuzzy rule generation; distance control; haptical feedback; road traffic; road vehicle driver; system acceptability; test car; vehicle speed control; Acceleration; Adaptive control; Adaptive systems; Control systems; Feedback loop; Fuzzy control; Fuzzy systems; Programmable control; System testing; Vehicle driving;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Information Processing Society, 1996. NAFIPS., 1996 Biennial Conference of the North American

Conference_Location

Berkeley, CA

Print_ISBN

0-7803-3225-3

Type

conf

DOI

10.1109/NAFIPS.1996.534776

Filename

534776