Hybrid PSO-HIL approach for controller tuning in servo pneumatic systems

This paper presents an approach that combinesParticle Swarm Optimization (PSO) and Hardware-in-the-loop (HIL) techniques for servo-control optimization and realization. The proposed approach is employed for controlling servo pneumatic system that exhibit high nonlinear dynamic behavior. In the proposed approach, the system is firstly identified through HIL, then the identified transfer function is used for controller tuning using PSO. After having the controller tuned in the simulation environment, it was applied to the real system through HIL. Simulation as well as experimental results show that the proposed method gives significantly better dynamic performances than using traditional tuning techniques. Furthermore, the proposed method facilitates the realization of effective control system for servo pneumatic systems.