A particle swarm optimization approach for optimal design of PID controller for position control using Shape Memory Alloys
暂无分享,去创建一个
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.
[1] Hashem Ashrafiuon,et al. Nonlinear Control of a Shape Memory Alloy Actuated Manipulator , 2002 .
[2] Tadahiro Hasegawa,et al. Modeling of shape memory alloy actuator and tracking control system with the model , 2001, IEEE Trans. Control. Syst. Technol..
[3] Riccardo Poli,et al. Particle swarm optimization , 1995, Swarm Intelligence.
[4] Zwe-Lee Gaing. A particle swarm optimization approach for optimum design of PID controller in AVR system , 2004, IEEE Transactions on Energy Conversion.