Magnitude Optimum Tuning Using Non-Parametric Data in the Frequency Domain

Abstract Tuning the parameters of PID controllers requires reliable process identification (parametric or non-parametric). Recently, a new tuning method has been developed, based on the magnitude optimum, which requires the process open or closed-loop lime response. However, the method requires an accurate estimation of the process final steady-state. In the present paper, a modified tuning method, based on non-parametric identification of the process in the frequency domain, is proposed. The proposed method can be less sensitive to noise than the original Magnitude-Optimum-Multiple-Integration method at the cost of more demanding experimentation on the process.