Intelligent PID control by immune algorithms based fuzzy rule auto-tuning

Authors:
Dong Hwa Kim;Jin Ill Park
Affiliations:
Dept. of I&C, Hanbat National University, Yusong Gu, Daejon City, Seoul, Korea;Dept. of I&C, Hanbat National University, Yusong Gu, Daejon City, Seoul, Korea
Venue:
IFSA'03 Proceedings of the 10th international fuzzy systems association World Congress conference on Fuzzy sets and systems
Year:
2003

Citing 3
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Abstract

A goal of intelligent control design is to obtain a controller based on input/output information only. Recently a genetic based fuzzy logic tuning is emerged. This paper focuses on the immune algorithms based fuzzy rule tuning. The immune algorithm (IA) is a method that holds promise for such a control system design using the mechanics of antibody against antigen. This algorithm is tried on the boiler level control of power plant which is typically non-linear and multi-variable with multiple control objectives.