This paper presents a straightforward method for implementing generalized predictive self-tuning controllers with low computational requirements. The method makes use of the fact that a generalized predictive controller results in a control law that can be described with few parameters.
The controller has been developed for processes having an integral effect. A set of simple functions relating the controller parameters to the process parameters has been obtained. With this set of functions either a fixed or a selftuning GPC can be implemented in a straightforward manner. An application to the control of a DC motor is given