Vapour temperature predictive control based on neuron prediction model

In accordance with the control characters of vapour temperature adjusting process, such as large time lag, large hysteresis and time varying parameters, etc., a kind of CAMIAX model of the process is suggested and the treatment of undetermined pure time lag is discussed. Based on the neuron learning mechanism, a kind of neuron identification algorithm of model parameters and the prediction model of the process are proposed. The predictive model combined with neuron controller constitutes vapour temperature loop control algorithm. The simulation results show the effectiveness of the approach