Abstract—Studying and applications of fractional PIDs (FO-PID) are getting popular for controlling the systems, properly. With this idea, it is aimed to unveil the advantages of FO-PID over traditional integer order PIDs (IO-PID). At the same time, in this paper, artificial intelligence techniques which are particle swarm optimization and genetic algorithm are used to determine which one have more effectiveness and to find system best parameters for both controllers. Results prove the supremacy of FO-PID controllers and PSO algorithm.
Index Terms—Fractional order controllers, particle swarm optimization, genetic algorithm, motor position control
The authors are with department of electrical and electronics engineering, Selcuk University, Konya, PK 42075 Turkey (e-mail: mkorkmaz@ selcuk.edu.tr, oaydogdu@ selcuk.edu.tr).
Cite:Mehmet Korkmaz and Omer Aydogdu, "Performance Comparison of Fractional Controllers and Artificial Intelligence Techniques," International Journal of Machine Learning and Computing vol. 3, no. 2, pp. 229-232, 2013.