DocumentCode
3019757
Title
The Performance Improvements of an Active Suspension with Grey-Fuzzy Algorithm Employing Passenger Car
Author
Ji, Chien-Yu ; Chang, Jui-Chun
Author_Institution
Dept. of Mech. Eng., Ching Yun Univ., Jungli, Taiwan
Volume
4
fYear
2009
fDate
7-8 Nov. 2009
Firstpage
570
Lastpage
574
Abstract
In this paper, we combine grey theorem with fuzzy control. The main focuses of this paper are (1) applying this to the active suspension system and (2) discussing the effectiveness of the Grey-Fuzzy controller by the following performance indexes which include Ride Comfort Index (Ratio-VA), Pitch Motion Index (Ratio-PA), and Roll Motion Index (Ratio-RA). These performance indices indicate the ride comfort, handling quality and suspension compactness of a car. The grey-fuzzy control reduces the oscillation of the vehicle. As a result, passengers will not only feel an increased comfort and quality of ride, but also have an increased sense of the safety of the vehicle. Satisfactory performances have been achieved by such a grey-fuzzy control scheme.
Keywords
automotive engineering; fuzzy control; grey systems; motion control; suspensions (mechanical components); active suspension system; fuzzy control; grey theorem; grey-fuzzy control; passenger car; pitch motion index; ride comfort index; roll motion index; Actuators; Control systems; Damping; Fuzzy control; Motion control; Performance analysis; Shock absorbers; Springs; Vehicle dynamics; Vehicle safety; Active Suspension Controller; Grey-Fuzzy; Performance Index;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-3835-8
Electronic_ISBN
978-0-7695-3816-7
Type
conf
DOI
10.1109/AICI.2009.293
Filename
5376233
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