A Comparative Analysis and Evaluating Active Suspension System Controllers with CoppeliaSim

This comparative analysis examines the efficacy of popular active suspension system (AS) controllers, including PID, LQR, and fuzzy logic controllers, in terms of stabilization time(s
t
) and maximum car body displacement(CBD). While LQR demonstrated the fastest (s
t
, fuzzy logic and PID controllers emerge superior due to their ability to minimize maximum CBD, which is crucial for handling and comfort. The PID controller achieved a minor displacement of 0.08m, with fuzzy logic close behind at 0.15m. Research directions include a datadriven approach to tuning the rules in fuzzy logic using direct input-output data from the quarter car model to surpass the performance of expert-driven fuzzy logic rules. Finally, the fractional-order PID controller with its integrator order (µ) and derivative order (λ) parameters has the potential to outdo the performance of conventional PID controllers. This paper shows that dynamic simulation software like CoppeliaSim is essential in system visualization and analysis for system design and optimization to achieve optimal vehicle dynamics and ride comfort.