Noncausal Open-loop Control with Combined System Identification and Pid Controller Tuning

In this paper we propose a systematic methodology that integrates the three main phases of the design of an industrial control system, namely, the identification phase, the tuning of the (PID) feedback controller and the design of a (noncausal) open-loop action. In particular, a first-order-plus-deadtime model of the process is estimated after having filtered properly the data collected in the identification experiment. Then, the tuning of the controller is based on frequency loop shaping where the target closed-loop system bandwidth is selected by considering the desired output transition time from one set-point value to another. Finally, the noncausal open-loop command input is synthesised by applying a stable input-output inversion procedure. Simulation results show the effectiveness of the methodology.