In the use of automatic control and its optimization methods, this research discusses how Proportional Integral Derivative (PID) controller is used to provide a smooth auto-parking for an electrical autonomous car. Different tuning methods are shown, discussed, and applied to the system looking forward to enhancing its performance. Time domain specifications are used as a criterion of comparison between tuning methods in order to select the best tuning method to the system with a proper cost function. Results show that Particle Swarm Optimization (PSO) method gives the best results according the criteria of comparison. © Springer Nature Switzerland AG 2020.

Implementation of PID Controller with PSO Tuning for Autonomous Vehicl

Implementation of PID Controller with PSO Tuning for Autonomous Vehicle

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