DocumentCode :
2693968
Title :
Multi-objective optimization approach to the PI tuning problem
Author :
Tavakoli, Saeed ; Griffin, Ian ; Fleming, Peter J.
Author_Institution :
Univ. of Sistan & Baluchestan, Teheran
fYear :
2007
fDate :
25-28 Sept. 2007
Firstpage :
3165
Lastpage :
3171
Abstract :
This paper presents a simple PI control design approach for first order plus dead time processes. The design method aims to obtain good responses to setpoint and load disturbance signals, good robustness to model errors and small variation of the control signal, simultaneously. The design problem is formulated as a multi-objective optimization problem. Using multi-objective genetic algorithms, the optimization problem is solved and optimal PI tuning formulae are developed. Simulation results demonstrate the effectiveness of the proposed method in coping with conflicting design objectives.
Keywords :
PI control; control system synthesis; genetic algorithms; stability; PI control design; PI tuning problem; first order-plus-dead time process; load disturbance signals; model errors; multiobjective genetic algorithm; multiobjective optimization; robustness; Evolutionary computation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1339-3
Electronic_ISBN :
978-1-4244-1340-9
Type :
conf
DOI :
10.1109/CEC.2007.4424876
Filename :
4424876
Link To Document :
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