MODELING AND ESTIMATION ASPECTS OF ADAPTIVE PREDICTIVE CONTROL IN A FERMENTATION PROCESS

This paper describes some engineering aspects of the design of high-pe rformance control systems. The importance of accurate modelling of rel evant process dynamics is outlined. The design of a model structure, t he identification of the model parameters and the controller must then be seen as three parts of a joint design problem. The long-range pred ictive control problem is addressed in the context of linear modelling , static nonlinearity combined with linear modelling, and nonlinear mo delling, where the parameters are determined by using either a standar d single-step-ahead estimator or a multi-step-ahead estimator. An expe rimental evaluation is performed on a continuous stirred-tank fermenta tion process which exhibits nonlinear and unstationary features.