Lagrange Fuzzy Interpolating Controlling and Simulation on Semi-Active Suspension of Vehicle

Author

Wang, Cheng ; Xu, Shanzhen

Author_Institution

Dept. of Transp. Eng., Huaiyin Inst. of Technol., Huaiyin, China

Volume

2

fYear

2009

fDate

10-11 Oct. 2009

Firstpage

78

Lastpage

81

Abstract

The Lagrange fuzzy interpolating controller is designed based on the study on 1 / 4 semi-active suspension mechanics model in this paper. Lagrange fuzzy interpolation algorithm is adopted for semi-active suspension system to control the shock absorber damping coefficient. AMEsim and Simulink co-simulation technology The simulation results by AMEsim and Simulink co-simulation technology indicates that the Lagrange fuzzy interpolation control algorithm is effective to improve control effect and to enhance control precision compared with traditional fuzzy control algorithm.

Keywords

control system synthesis; fuzzy control; interpolation; shock absorbers; vibration control; AMEsim; Lagrange fuzzy interpolating controller; Simulink co-simulation technology; shock absorber damping coefficient; vehicle semi-active suspension mechanics model; Control systems; Damping; Equations; Force control; Fuzzy control; Interpolation; Lagrangian functions; Roads; Shock absorbers; Vehicles; co-simulation Introduction; damping coefficient; semi-active suspension;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on

Conference_Location

Changsha, Hunan

Print_ISBN

978-0-7695-3804-4

Type

conf

DOI

10.1109/ICICTA.2009.256

Filename

5288344