Title :
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
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;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
Conference_Location :
Shenzhen, Guangdong
Print_ISBN :
978-1-61284-289-9
DOI :
10.1109/ICICTA.2011.127
