Adaptive-Fuzzy Fractional Order PID Controller-Based Active Suspension for Vibration Control

Abstract

ABSTRACT Active suspension system has become an integral part of a passenger vehicle as ride comfort is now an essential parameter in the performance of a vehicle. The active suspension system claims complete control over the driver body motion, thus improving the overall ride quality. This work intends to reduce the entire body acceleration of the driver, thereby improving the ride comfort by designing and implementing an efficient controller for an active quarter car system. The proposed Adaptive Fuzzy tuned Fractional Order PID Controller (AFFOPID) is designed and analyzed for a 3 Degree of Freedom (DOF) active quarter car system, incorporating a driver model using MATLAB/SIMULINK software. The efficiency of AFFOPID is dissected against the performance of Fractional Order PID (FOPID), PID and Passive System. The Active Quarter Car Driver model (AQCD) is exposed to single bump, sinusoidal bump and ISO 8606 standards random road for interruptions and the respective results are reviewed. The simulation outcomes of the active quarter car driver model with AFFOPID improve the ride comfort by reducing the Driver Body Acceleration (DBA) amplitude, over all three road profiles. The results, thus validated in-terms of Frequency Weighted Root Mean Square (FWRMS) and Vibration Dose Value (VDV) as per ISO 2631–1 standards, reveal that the AFFOPID reduces the vibration to the best desirable range in comparison to the contemporary FOPID and PID controllers.