Title :
Fractional-order PID controller tuning based on genetic algorithm
Author :
Zhang, Yanzhu ; Li, Jingjiao
Abstract :
Because the fractional-order systems model is complex and the fractional-order controller requires more tuning parameters than that of integer-order controller, the tuning parameters method of fractional-order PIλDμ controller is difficult to obtain. In order to improve the accuracy of fractional-order PIλDμ controller, the character and the designing method of fractional-order PID controller is analyzed in this paper, and the genetic algorithm is introduced to the design of fractional-order λDμ controller. By using the genetic algorithm to optimize the corresponding parameters, a better PID controller which has a superior is obtained, the error of fractional-order PID controller is avoided and the tuning efficiency is improved. The results of simulation show that the controlling effect of the fractional-order PIλDμ controller is better than that of the integer-order PID controller.
Keywords :
control system synthesis; genetic algorithms; parameter estimation; three-term control; control system design; fractional-order PID controller tuning; fractional-order system; genetic algorithm; parameter tuning method; Conferences; Control systems; Frequency domain analysis; Genetic algorithms; Robustness; Transfer functions; Tuning; fractional-order calculus; fractional-order controller; fractional-order controller systems; genetic algorithm;
Conference_Titel :
Business Management and Electronic Information (BMEI), 2011 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-61284-108-3
DOI :
10.1109/ICBMEI.2011.5920371