Static compensation on the basis of NNBM predictor under Foundation Fieldbus
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Static compensation on the basis of NNBM predictor under Foundation FieldbusFecha
2004Resumen
This paper deals with the problem of disturbance compensation by means of a novel feedforward control procedure. It consists in the additive association of a conventional feedback control action with the prediction of the steady state control effort necessary to keep the controlled plant under setpoint requirements. Such steady state control effort is achieved by means of inverse neural network based modelling prediction. Predictors are based in an inverse neural network steady state plant model. Implementation procedure is carried out with the facilities supplied by a FOUNDATION Fieldbus compliant tool which manage databases, neural network structures and training algorithms
Palabras clave
Neural networks
Back propagation
Decoupling
Neural predictor
Disturbance rejection
Back propagation
Decoupling
Neural predictor
Disturbance rejection
Descripción
World Automation Congress, WAC 2004, Sevilla, Spain