Sustainable Hybrid Vehicle Idle Speed Control Using PID and Fuzzy Logic Controllers

Idle speed control is a crucial aspect of energy-efficient and sustainable engine performance, and various methods have been developed to address this problem. This study investigates the performance of two idle speed-controlling approaches based on conventional proportional-integral-derivative (PID) and fuzzy logic controllers. A four-cylinder engine has been modelled using the Record Wave package based on the Honda Civic engine specifications. The engine performance characteristics have been used to design the PID controller for various parameters and the fuzzy logic controller with three different membership functions with the objective of regulating the idle speed at 800 RPM while considering disturbances. The study finds that both the PID and fuzzy logic controllers effectively achieve the control objective. However, the fuzzy logic controller outperforms the PID controller in terms of a transient response, providing a smoother and more stable idle speed control with less overshoot and settling time. The study also highlights that the choice of control method is dependent on the specific application and system requirements, with PID controllers being suitable for simpler systems and fuzzy logic controllers being more appropriate for complex or uncertain systems.