By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Shian Chen ; Sch. of Automotive & Traffic Eng., Jiangsu Univ., Zhenjiang, China ; Hang Zhou ; Hongguang Liu ; Ming Yao

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.

Published in:

Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on  (Volume:1 )

Date of Conference:

28-29 March 2011