Design of a data-driven multi-loop self-tuning PID controller

PID controllers have been widely employed in real processes. Since PID gains strongly affect the control performance, lots of schemes for tuning PID gains have been proposed. Recently, data-driven PID tuning schemes which determine PID gains directly from the closed-loop operating data attract attentions. Lots of controlled objects are multiinput and multi-output systems, though almost data-driven PID tuning schemes target single-input and single-output systems. In this paper, a data-driven multi-loop self-tuning PID controller design is proposed. The proposed scheme first employs a post-compensator to remove mutual interference. Multi-loop self-tuning PID controller is designed for the decoupled system. The effectiveness of the control scheme is evaluated by a simulation example. © 2019 The Institute of Electrical Engineers of Japan.