Stable anti-windup continuous-time generalised predictive control to a process control experimental system

A stable control scheme of anti-windup continuous- time generalized predictive control to a process control experimental system is designed. Process parameter is estimated by using CGPC that has properties similar to those of the discrete-time generalized predictive control (GPC). The controlled model is obtained by using extended Kalman filter2. A stable anti-windup continuous-time generalized predictive control (CAGPC) technique is considered, concerning the estimated errors. Simulation and experimental results are also given to confirm the effectiveness of the control scheme. CAGPC does not lose robustness as it considers the input constraint and uncertainty, which enables CAGPC track a set-point and does not cause an excessive control input, making the CAGPC an effective control method to the uncertain system with input constraints. extended Kalman filter.