Abstract
An adaptive neural network control scheme for thermal power system is described. Neural network control scheme does not require off-line training. The online tuning algorithm and neural network architecture are described and a stability proof is given. The performance of the controller is illustrated via simulation for different changes in process parameters and for different disturbances. Performance of neural network controller is compared with conventional proportional-integral control scheme for frequency control in thermal power systems.
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