A neural network PID autotuner

Ruano, Antonio; Lima, João; Mamat, R.; Fleming, P. J.

http://hdl.handle.net/10400.1/2325

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Abstract(s)

Proportional, Integral and Derivative (PID) regulators are standard building blocks for industrial automation. Their popularity comes from their rebust performance and also from their functional simplicity. Whether because the plant is time-varying, or because of components ageing, these controllers need to be regularly retuned.

URI

http://hdl.handle.net/10400.1/2325

Citation

Ruano, A. E.; Lima, J. M. G.; Mamat, R.; Fleming, P. J. A Neural Network PID Autotuner, Trabalho apresentado em Int. Conf. on Engineering Applications of Neural Networks (EANN’95), In Int. Conf. on Engineering Applications of Neural Networks (EANN’95), Helsinki, 1995.