Adaptive Neural Control of Npr
نویسنده
چکیده
Controller adaptation is always a major concern. A controller that meets certain performance design objectives can not be satisfactory unless it can preserve such quality in the presence of system parameters fluctuation. For the nuclear power reactors (NPR) a controller that preserves stability and performance for wide range of operation conditions and fluctuations is especially desirable. This paper presents a design of an adaptive controller using artificial neural networks (ANN) to infinite impulse response IIR model of NPR. The objective is to maintain the stability and robustness of the overall control system against the fluctuation of system parameters during different operation conditions. The adaptive neural controller is systematic, methodical, easy to design, and can give improved system performance over wide range of NPR operation conditions.
منابع مشابه
Modeling and Control of Gas Turbine Combustor with Dynamic and Adaptive Neural Networks (TECHNICAL NOTE)
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