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Intelligent Control of Nonlinear Dynamic Systems Using Immune Fuzzy Fusion
Dong Hwa Kim
Dept. of Instrumentation and Control Eng., Hanbat National University, 16-1 San Duckmyong-Dong Yuseong-Gu, Daejon City Seoul, 305-719 Korea
Received:July 1, 2003Accepted:August 26, 2003Published:October 20, 2003
Keywords:immune algorithm, nonlinear system, fuzzy system, artificial intelligence, inverted pendulum
Abstract
We propose nonlinear control using immune-algorithm-based fuzzy logic. Nonlinear dynamic systems include chemical and biomedical processes and mainsteam temperature control at thermal power plants. PID controllers are conventionally used to operate these systems, but using these requires experience, often based on trial and error to tune them. We use an inverted pendulum control problem to demonstrate the efficiency of the proposed method and define the relationship of state variables using immune fuzzy logic. Simulation results show the effectiveness of the tuning algorithm, but study experiments are needed before actual application.
Cite this article as:D. Kim, “Intelligent Control of Nonlinear Dynamic Systems Using Immune Fuzzy Fusion,” J. Adv. Comput. Intell. Intell. Inform., Vol.7 No.3, pp. 330-338, 2003.Data files:
