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
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