Development of A PID Controller for Active Car Suspension System Using Adaptive Weighted PSO Algorithm

Document Type : Original Article

Authors

1 Faculty of Engineering, Cairo University, Giza, Egypt.

2 MSc. Student, Faculty of Engg., Cairo University, Giza, Egypt.

Abstract

This paper focuses on the application of PI/PID controller tuned by Adaptive Weighted Particle Swarm Optimization (AWPSO) algorithm to car suspension system. The optimization step has been achieved based on three error criterion. These are: The Integral of Square Error (ISE), the Integral of Absolute Error (IAE) and the Integral of Time Absolute Error (ITAE). Also the obtained results have been compared with the outcomes of Ziegler- Nichols tuning methodology of the PID controller. Better performance of the PID tuned by the AWPSO proposed algorithm is noticeable. Finally, resources related to the AWPSO setting and initialization are listed. The system simulation and tuning of the PID controller have been achieved using MATLAB/Simulink tool.

Keywords