MODEL-BASED PREDICTIVE CONTROL OF THERMAL PROCESSING

摘要

The predictive temperature control is based on a non-linear model and a multivariable temperature response is predicted using the non-linear model of a thermal process reactor. The non-linear model is implemented using a neural network and predictions are made in an auto-regressive moving average fashion with a receding prediction horizon. Model predictions are incorporated into a control law for estimating the optimum future control strategy. The high speed predictive nature of the controller renders it advantageous in multivariable rapid thermal processing reactors where fast response and high temperature uniformity are needed.