Research on fuzzy control strategies for automotive EPB system with AMESim/Simulink co-simulation

Author

Peng, Yi-qiang ; Li, Wei

Author_Institution

Sch. of Transp. & Automotive Eng., Xihua Univ., Chengdu, China

fYear

2009

fDate

17-19 June 2009

Firstpage

1707

Lastpage

1712

Abstract

In order to improve the response performance, the mathematic model of an automotive electrical parking brake (EPB) control system is analyzed. Its physical model is built with AMESim simulation software and a fuzzy controller for the system is constructed in Matlab/Simulink environment. To evaluate the performance of the fuzzy controller, a co-simulation method with AMESim/Simulink is used. The simulation shows that, the response performance of the EPB control system is much better than the performance of conventional PID controller. Furthermore, the fuzzy controller can be transformed to a look-up table for real time control in actual applications.

Keywords

automobiles; braking; control engineering computing; digital simulation; fuzzy control; table lookup; three-term control; AMESim simulation software; AMESim/Simulink cosimulation; EPB control system; Matlab/Simulink environment; PID controller; automotive EPB system; automotive electrical parking brake; control system analysis; fuzzy controller; look-up table; mathematical model; real time control; response performance; Automotive engineering; Control system analysis; Control system synthesis; Fuzzy control; Fuzzy systems; Mathematical model; Mathematics; Performance analysis; Table lookup; Three-term control; AMESim/Simulink Co-simulation; Electrical Parking Brake; Fuzzy Control; PID Control;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference, 2009. CCDC '09. Chinese

Conference_Location

Guilin

Print_ISBN

978-1-4244-2722-2

Electronic_ISBN

978-1-4244-2723-9

Type

conf

DOI

10.1109/CCDC.2009.5192267

Filename

5192267