Comparative analysis of suspension systems using adaptive fuzzy control

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.

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