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Vol. 17, Special Issue, December 2012, pp. 81-97


Selected papers from the 4th International Conference on Intelligent & Advanced Systems (ICIAS' 2012),

12-14 June 2012, Malaysia, Kuala Lumpur




Comparative Study and Analysis of Suspension Systems using Adaptive Fuzzy Control
LAIQ Khan and M. UMAIR Khan

Electrical Engineering Department, CIIT Abbottabad, 22010, Pakistan

Tel.: +923345482911

E-mail: umairkhan@ciit.net.pk



Received: 29 September 2012   /Accepted: 29 October 2012   /Published: 18 December 2012

Digital Sensors and Sensor Sysstems


Abstract: Conventional passive suspension systems are unable to handle the tradeoff between ride comfort and vehicle stability. Ride comfort can be analyzed by vehicle’s body and passenger seat displacement, while vehicle stability can be examined by degree of freedoms (D.O.F) like pitch and roll. Semi-active and Takagi Sugeno Kang (TSK) based active control systems are implemented in MATLAB/SIMULINK, to better deal with this tradeoff. Adaptive TSK controllers consist of different degree of fulfillment (DOF), differentiating control strategies to others. Irregular road surfaces are taken into account to analyze the performance of passive, semi-active and active control systems. For better comparative analysis, optimal performance index is selected to show the most effective suspension system. The result shows that active suspension systems with TSK based control strategies have better pitch, roll and heave displacement; therefore they are able to better handle the tradeoff between vehicle stability and passenger comfort compared to other suspension systems.


Keywords: Active suspension system, Fuzzy logic control, Takagi Sugeno Kang, Full-car model



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