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

Dong-Hwa Kim | Zendy; Jin-Ill Park | Zendy

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

Author(s) -

Dong-Hwa Kim,

Jin-Ill Park

Publication year - 2003

Publication title -

international journal of fuzzy logic and intelligent systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.296

H-Index - 9

eISSN - 2093-744X

pISSN - 1598-2645

DOI - 10.5391/ijfis.2003.3.1.078

Subject(s) - multivariable calculus , pid controller , control theory (sociology) , control engineering , computer science , artificial neural network , control system , controller (irrigation) , algorithm , engineering , temperature control , control (management) , artificial intelligence , biology , agronomy , electrical engineering

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.

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