GA TUNED DISTANCE BASED FUZZY SLIDING MODE CONTROLLER FOR VEHICLE SUSPENSION SYSTEMS

This paper presents the design of Genetic Algorithm tuned Distance based Fuzzy Sliding Mode Controller (GA+DFSMC) applied to vehicle suspension system of a quarter car model. DFSMC has only one-dimensional rule table and the generation of fuzzy rules becomes easier. Genetic Algorithm (GA) is proposed to tune the gain parameters to increase the speed of system response and to reduce the chattering in the sliding phase so that a better performance can be achieved. The objective of this work is to design, simulate and compare the performance of the GA+DFSMC with various controllers. Simulation is carried out using MATLAB and SIMULINK. Simulation results indicate that the proposed vehicle suspension system proves to be effective in the vibration isolation of the vehicle body.

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