A neural network PID autotuner


Autoria(s): Ruano, A. E.; Lima, João M. G.; Mamat, R.; Fleming, P. J.
Data(s)

13/02/2013

13/02/2013

1995

28/01/2013

Identificador

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.

AUT: ARU00698; JLI00543;

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

Idioma(s)

eng

Direitos

restrictedAccess

Tipo

conferenceObject

Resumo

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.