An Effective Fractional-Order PID Controller to Improve a Quarter Car Active Suspension: Comparative Study

Abstract

In this study, a two-degree-of-freedom active suspension control system for a quarter automobile model is presented. Cars with active suspension are safer and more comfortable to ride in, and they handle better. Two controllers are utilised in this work to lessen the impact of road roughness that tires send to the vehicle body : (1) The standard PID (2) the manual method for the fractional-order PID (FOPID). To effectively manage uncertainties, meta heuristic techniques Genetic Algorithms (GA) and Particle Swarm Optimisation (PSO) are used to estimate the unknown PID and FOPID parameters. According to simulation studies, the PSO-optimized FOPID is excellent at reducing body vibrations and demonstrates superior performance and durability characteristics for a variety of challenging road conditions, such as uneven or dug roadways.