DocumentCode :
3455167
Title :
New Elite Multi-Parent Crossover Evolutionary Optimization Algorithm of Parameters Tuning of Fractional-Order PID Controller and Its Application
Author :
Cai, Mingshan ; Pan, Xianggao ; Du, Yunfeng
Author_Institution :
Electr. & Inf. Eng. Sch., Hunan Univ. of Arts & Sci., Changde, China
fYear :
2009
fDate :
7-9 Dec. 2009
Firstpage :
64
Lastpage :
67
Abstract :
PID control is one of the most common control method used for process control and fractional-order PI¿Dß control that is the promotion and development of general integer-order PID control. Compared to integer-order PID controller, fractional-order PI¿Dß controller has more advantages that integer-order PID controller does not have, but the tuning method of fractional-order PID control is still a topic to be resolved, and it is rarely studied so far. In this paper, based on filtering algorithms and adopting the Matlab/Simulink software, a new method to effectively solve optimization problem of function is proposed, that is, on the basis of multi-parent crossover evolutionary optimization algorithm and by introduction of the elite-preservation strategy to enhance the selection pressure of parents in the process of crossover, the elite multi-parent crossover evolutionary optimization algorithm is constructed and the program EMPCOA1.0 is developed for the optimization of parameters tuning. Simulation results show that it is an effective tuning strategy, it also can be seen that better control quality can be achieved by using fractional-order PI¿Dß controller for nonlinear systems.
Keywords :
PI control; control system synthesis; evolutionary computation; nonlinear control systems; process control; three-term control; EMPCOA1.0; Matlab software; Simulink software; elite multi-parent crossover evolutionary optimization algorithm; filtering algorithms; fractional-order PI¿DÃ\x9f control; fractional-order PID controller; integer-order PED control; nonlinear systems; parameters tuning; process control; Art; Automatic control; Control systems; Filtering algorithms; Fractional calculus; Nonlinear control systems; Optimal control; Optimization methods; Proportional control; Three-term control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Computing, Information and Control (ICICIC), 2009 Fourth International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-4244-5543-0
Type :
conf
DOI :
10.1109/ICICIC.2009.277
Filename :
5412281
Link To Document :
بازگشت