Active Suspension Control of Full Car Model Using Bat Optimized PID Controller

Abstract

Long drives on bumpy roads and configuration issues like discomfort in seating arrangements have a harmful impact on the human body. The passengers experience severe health problems and stress-related issues. The full car model (FCM) with seven degrees of freedom (DOF) is considered for vibration control analysis. The aim of this work is to optimize the parameters of proportional integral and derivative (PID) controller by grey wolf optimization (GWO) and bat algorithm for betterment in the ride comfort of the passengers. A comparative analysis between the most commonly used PID controller and proposed optimized PID controller was executed over bump input (BI), ISO standard random input (RI), and sinusoidal input (SI) road profiles in MATLAB. Simulation results demonstrate that bat tuned PID (Bat-PID) controller enhances the ride comfort by decreasing the root mean square (RMS), frequency weighted RMS (FWRMS), and vibration dose values (VDV) of the body acceleration (BA) of the vehicle passing over BI, RI, and SI road profiles, which ensures the stability of the vehicle.