PID and ANFIS based Control of Semi-Active Suspension System using Different Membership Functions
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Abstract
This study considers proportional-integral-derivative (PID) and adaptive neuro fuzzy inference system (ANFIS) controllers for stabilizing extremely dynamic semi-active suspension of quarter-car model. The free-body-diagram analysis was conducted and system was then simulated in Matlab-Simscape using PID controller. The results of PID were acquired as inputs for ANFIS controller. The ANFIS controller was trained via three different membership functions (MFs) namely triangular, trapezoidal and Gauss. The results clearly demonstrate that MF shape effects the learning of ANFIS. The fallouts highlight superior responses of ANFIS technique then PID. Moreover, ANFIS controller designed using Gauss shape MF performed better than other shaped MFs.
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