A particle swarm optimization approach for optimal design of PID controller for position control using Shape Memory Alloys

This paper presents the optimal design of PID controller based on a particle swarm optimization (PSO) approach for position control using spring shape memory alloys (SMA) actuator. The mathematical model of experimental system had been approximate near the operating point for the PSO algorithm to adjust PID parameters for the minimum integrated absolute error (IAE) condition. The results show the adjustment of PID parameters converting into the optimal point and the good control response base on the optimal values by the PSO technique.