DocumentCode :
3205123
Title :
Artificial immune network applied to multivariable PID controller design with/without decoupler
Author :
Mingan Wang ; Shuo Feng ; Pengbin Duan ; Jianming Li ; Zhonghua Li
Author_Institution :
Dept. of Comput. Sci., Huizhou Univ., Huizhou, China
fYear :
2015
fDate :
23-25 May 2015
Firstpage :
590
Lastpage :
595
Abstract :
This paper presents the comparative performance analysis of various artificial immune networks applied to Proportional-Integral-Derivative (PID) controller design for Multiple-Input Multiple-Output (MIMO) systems. Four artificial immune networks (i.e, opt-aiNet, IA-AIS, AHAIS and AINe-SL) are used to find optimal controller parameters for multivariable PID controller design with/without decoupler. Four conventional objective functions with respect to error are taken into account. The simulation results indicate that AINet-SL is more efficient for such multivariable PID controller design compared to opt-aiNet, IA-AIS and AHAIS.
Keywords :
MIMO systems; artificial immune systems; control system synthesis; multivariable control systems; optimal control; three-term control; AINet-SL; MIMO systems; artificial immune network; decoupler; multiple-input multiple-output systems; multivariable PID controller design; optimal controller parameters; proportional-integral-derivative controller design; Cloning; Immune system; MATLAB; MIMO; PD control; Tuning; Artificial immune network; Binary distillation column; Decoupler; MIMO; PID controller;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
Type :
conf
DOI :
10.1109/CCDC.2015.7161800
Filename :
7161800
Link To Document :
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