Design and Experimental Evaluation of a PID Controller Based on GPC

PID control plays an important role in industrial system. As known that tuning PID parameters have strong effect on the control performance, therefore, many tuning PID parameters schemes have appeared, such as model based design methods which are still used in practical applications. However, in some sophisticated systems like thermal processes and chemical processes, experiments are required multiple times in order to calculate control parameters. As to overcome such problem, the data-oriented design scheme has received much attention in the last few years. In this study, the data-oriented PID controller design based on Generalized Predictive Control (GPC) is proposed. According to the proposed method, control parameters are obtained based on predictive values of system output, and a GPC-based PID controller is given by converting these parameters. Moreover, the control performance can be suitably adjusted by user specified parameters.The effectiveness of the proposed method is evaluated by a numerical example. And the proposed method is employed in the experiment.