Optimal Design of Active Suspension Based on LQG Control without Road Input Signal

Author

Chen, Shian ; Zhou, Hang ; Liu, Hongguang ; Yao, Ming

Author_Institution

Sch. of Automotive & Traffic Eng., Jiangsu Univ., Zhenjiang, China

Volume

1

fYear

2011

fDate

28-29 March 2011

Firstpage

456

Lastpage

459

Abstract

The objective of this research is to propose a new and practical LQG control method for the vehicle active suspension. The novelty lies in optimizing the LQG controller without road input signal for the active suspension to improve practicability of LQG control method. Taking a quarter-vehicle model as an example, the control parameters of LQG controller without road input signal for the active suspension are optimized based on genetic algorithm (GA) with the suspension quadratic performance index taken as the fitness function. Comparative simulations show the optimized LQG controller proposed can achieve a better comprehensive performance and is more practical than the normal LQG one for the active suspension.

Keywords

closed loop systems; genetic algorithms; linear quadratic Gaussian control; performance index; LQG control method; genetic algorithm; optimal design; quadratic performance index; quarter vehicle model; vehicle active suspension; Automotive engineering; Gallium; Genetic algorithms; Optimization; Roads; Suspensions; Vehicles; LQG; active suspension; optimal design; vehicle; without road input signal;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on

Conference_Location

Shenzhen, Guangdong

Print_ISBN

978-1-61284-289-9

Type

conf

DOI

10.1109/ICICTA.2011.127

Filename

5750558