Evolutionary game theory method for multi-objective automotive active suspension control

Author

Wang, Lu ; Song, Chongzhi ; Ye, Ye

Author_Institution

Sch. of Mech. Eng., Anhui Univ. of Technol., Maanshan

fYear

2008

fDate

3-5 June 2008

Firstpage

50

Lastpage

55

Abstract

By applying evolutionary game theory, a control strategy for active suspension based on a quarter-car vehicle model is proposed to control body vertical acceleration, suspension travel and tire deformation. With impact facts calculation and fuzzy clustering, it also presents the game description about multi-objective problems by decomposing design variable assembly into stratagem set of all the game players. To solve multi-objective control problem, Nash equilibrium model is used. The technique steps are put forward. The simulation results show that the active suspension with immune controller can effectively imp rove both ride comfort and handling stability.

Keywords

acceleration control; automobiles; automotive components; evolutionary computation; fuzzy control; game theory; pattern clustering; stability; suspensions (mechanical components); tyres; Nash equilibrium; automotive active suspension control; body vertical acceleration control; evolutionary game theory; fuzzy clustering; immune control; multiobjective control; quarter-car vehicle; stability; suspension travel; tire deformation; Acceleration; Assembly; Automotive engineering; Deformable models; Fuzzy sets; Game theory; Immune system; Nash equilibrium; Tires; Vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics and Applications, 2008. ICIEA 2008. 3rd IEEE Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4244-1717-9

Electronic_ISBN

978-1-4244-1718-6

Type

conf

DOI

10.1109/ICIEA.2008.4582479

Filename

4582479