Design of an Implicit GMV-PID Controller Using Closed Loop Data

Abstract

In industrial processes, PID control has been applied to a lot of real systems. The control performance strongly depends on PID parameters. Although, some schemes for tuning PID parameters have been proposed, however, these schemes need system parameters which are estimated by system identification in order to calculate PID parameters.
On the other hand, model-free controller design schemes represented by VRFT or FRIT which have received much attention in last few years. These methods can calculate control parameters using closed-loop data and are expected to reduce computational costs.
In this paper, a type of implicit PID controllers using closed-loop data is proposed. According to the proposed method, PID parameters are calculated based on the implicit GMVC. Moreover, the control performance can be suitably adjusted by only user-specified parameter. The effectiveness of the proposed method is numerically and experimentally evaluated.