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http://dx.doi.org/10.5391/IJFIS.2003.3.1.078

Multiobjective PI Controller Tuning of Multivariable Boiler Control System Using Immune Algorithm  

Kim, Dong-Hwa (Dept. of Instrumentation and Control Eng., Hanbat National University)
Park, Jin-Ill (Dept. of Instrumentation and Control Eng., Hanbat National University)
Publication Information
International Journal of Fuzzy Logic and Intelligent Systems / v.3, no.1, 2003 , pp. 78-86 More about this Journal
Abstract
Multivariable control system exist widely in many types of systems such as chemical processes, biomedical processes, and the main steam temperature control system of the thermal power plant. Up to the present time, Pill Controllers have been used to operate these systems. However, it is very difficult to achieve an optimal PID gain with no experience, because of the interaction between loops and gain of the Pill controller has to be manually tuned by trial and error. This paper suggests a tuning method of the Pill Controller for the multivariable power plant using an immune algorithm, through computer simulation. Tuning results by immune algorithms based neural network are compared with the results of genetic algorithm.
Keywords
PID tuning; Power plant control; Immune algorithm; Multiobjective control; Auto-tuning; Neural network;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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