원문정보
초록
영어
This paper presents a method for optimum tuning of Fractional PID controllers using PSO algorithm which have fractional or integer order transfer functions. Particle swarm optimization (PSO) is a robust stochastic optimization technique based on the movement and intelligence of swarm, applies the concept of social interaction to problem solving. The best parameters of Fractional-Order PID controller consist of proportional gain integral gain , fractional-order of integrator λ, derivative gain and fractional-order of differentiator μ can be determinate by using this technique. The proposed approach with defined cost function has a very easy implementation and ability of fast tuning of optimum fractional-order PID controllers parameters. From the comparison this technique with the other methods, its influence and efficiency are illustrated.
목차
1. Introduction
2. Review on Fractional Calculus
2.1. Fractional-order PID controllers (FOPID)
2.2. Oustaloup approximation algorithm
3. Designof pso-controller
3.1. Particle Swarm Optimization (PSO)
3.2. Purposed fitness function
4. Results
5. Conclusions
References