DocumentCode
571782
Title
Comparative analysis of suspension systems using adaptive fuzzy control
Author
Khan, Laiq ; Khan, M. Umair ; Qamar, Shahid
Author_Institution
Electr. Eng. Dept., CIIT Abbottabad, Abbottabad, Pakistan
Volume
1
fYear
2012
fDate
12-14 June 2012
Firstpage
22
Lastpage
27
Abstract
The suspension system aims to support vehicle body. It provides passenger comfort and vehicle stability by isolating road disturbances. Passive suspension systems can´t handle the tradeoff between passenger safety and vehicle stability. Active control has the ability to handle this tradeoff and provide both vehicle stability and passenger safety. Different active controllers based on adaptive Takagi Sugeno Kang (TSK) are developed for active suspension system and are simulated on full-car´s model suspension in MATLAB/SIMULINK. The adaptive fuzzy controller´s inference consists of different Degree of Fulfillment (DOF), differentiating control strategies compared to others, also showing importance of choosing proper DOF for selection of proper rules. The performance and effectiveness of the proposed scheme based active suspension system is compared with passive and active suspension system.
Keywords
adaptive control; automobiles; fuzzy control; mechanical stability; road safety; suspensions (mechanical components); vehicle dynamics; MATLAB-SIMULINK; active controllers; active suspension system; adaptive Takagi Sugeno Kang; adaptive fuzzy controller inference; degree-of-fulfillment; full-car model suspension; passenger comfort; passenger safety; road disturbance isolation; vehicle body support; vehicle stability; Equations; Mathematical model; Roads; Shock absorbers; Tires; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent and Advanced Systems (ICIAS), 2012 4th International Conference on
Conference_Location
Kuala Lumpur
Print_ISBN
978-1-4577-1968-4
Type
conf
DOI
10.1109/ICIAS.2012.6306152
Filename
6306152
Link To Document