This book provide the Detailed Knowledge of the design of Artificial Neural Network (ANN) based PID controller, to realize fast governor action in a power generation plant. The design technique is applied to single area, two area systems, to tune the parameters of the PID controller. Feed forward neural network architecture is chosen for the design of controller, which is trained by a popular back propagation algorithm. Performance of the proposed ANN based Controller, is compared with conventional integral and PID ...
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This book provide the Detailed Knowledge of the design of Artificial Neural Network (ANN) based PID controller, to realize fast governor action in a power generation plant. The design technique is applied to single area, two area systems, to tune the parameters of the PID controller. Feed forward neural network architecture is chosen for the design of controller, which is trained by a popular back propagation algorithm. Performance of the proposed ANN based Controller, is compared with conventional integral and PID controllers, through dynamic simulation. It is observed that ANN based controller provides better performance. The frame work for interactive learning presented in this Book differs from this used in more established field of interactive evolutionary computation. The main difference is requirement of expert knowledge from neural network area, which makes it a research tool. We hope in future interactive learning of neural networks can be defined enough to be used in real world applications.
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