Enhancing Cruise Performance through PID Controller Tuned with Particle Swarm Optimization Technique

Abstract

The Proportional-Integral-Derivative (PID) controller is a widely used feedback control mechanism in various applications, including automobile cruise control systems. The performance of a PID controller is highly dependent on the values of its tuning parameters, which can be challenging to determine in practice. Particle Swarm Optimization (PSO) has emerged as a powerful optimization algorithm that can tune the PID controller parameters for optimal performance. The PSO is a metaheuristic optimization algorithm inspired by the social behavior of birds and fish. The PSO-PID is a variant of the PID controller that employs PSO to optimize its tuning parameters. PSO-PID offers several advantages over traditional PID tuning methods, including improved accuracy, stability, and robustness. This paper briefly overviews the PSO-PID algorithm and its application to automobile cruise control systems. The paper discusses the key steps involved in PSO-PID tuning, including initialization, evaluation, update, and termination. It provides an example of how PSO-PID can achieve optimal vehicle speed control. The paper highlights the advantages of PSO-PID over traditional PID tuning methods. PSO-PID is a promising technology for cruise control systems and has the potential to significantly improve the safety, comfort, and efficiency of modern automobiles.