Design of a Data-Oriented GPC

PID control has been widely applied in a lot of process systems. The control performance is strongly affected by tuning PID parameters, which is an extremely important issue. Although some schemes for tuning PID parameters have been proposed, such as model based design methods which are still used in practical applications nowadays. However, in thermal processes or chemical processes, in order to calculate control parameters, experiments are required multiple times. On the other hand, the data-oriented controller design scheme has received much attention in the last few years. In this paper, a new data-oriented PID controller design scheme based on Generalized Predictive Control (GPC) is proposed. According to the method, control parameters are obtained based on predictive values of system output, and a GPC-based PID controller is given by transforming these parameters. Moreover, in the proposed GPC-PID controller, system identification is not necessary to calculate control parameters. The effectiveness of the proposed method is evaluated by a numerical example.