Turbine Valve Control Based on Artificial Neural Networks
نویسندگان
چکیده
Conventional schemes of fast valving generate a fixed valve stroke sequence for the control of turbine valves under transient conditions. A simple fixed valve control sequence cannot give optimum result for different fault conditions and loading levels, due to its poor adaptability. This paper presents an artificial-neuralnetwork (ANN) based controller to govern the operation of the turbine control and intercept valves under different fault conditions. A quasi-optimal scheme based on the generator speed deviation and accelerating power generates the valve control sequences under these fault cases. These sequences are further used to train the ANNbased controller. The simulation results show that an ANN-based controller has very good generalization capability. The results are compared with the conventional schemes of control. The ANN-based controller gives satisfactory stability performance for a variety of
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