Abstract
PID control schemes have been widely used in most process control systems. As one of the reasons, the operator's knowhow can be easily utilized in designing controllers. However, most process systems are nonlinear, it is difficult to obtain good control performances using simple controllers with the fixed PID parameters. In other words, it is necessary to switch the most suitable PID parameters corresponding to system characteristics. Therefore, a PID controller design scheme is newly proposed for nonlinear systems. According to this scheme, the system model is first generated by using data-driven approach. Next, PID parameters are adjusted based on the internal model control(IMC) tuning. As a result, a suitable control performance can be obtained even for nonlinear systems. The behavior of the newly proposed control scheme is examined on a simulation example.
