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 FieldbusDate
2004Abstract
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
Keywords
Neural networks
Back propagation
Decoupling
Neural predictor
Disturbance rejection
Back propagation
Decoupling
Neural predictor
Disturbance rejection
Description
World Automation Congress, WAC 2004, Sevilla, Spain