High-Order Filtered PID Controller Tuning Based on Magnitude Optimum

Damir Vrančić and Mikuláš Huba
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Damir Vrančić: Jožef Stefan Institute, SI-1000 Ljubljana, Slovenia
Mikuláš Huba: Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Ilovičova 3, 81219 Bratislava, Slovakia

Mathematics, 2021, vol. 9, issue 12, 1-24

Abstract: The paper presents a tuning method for PID controllers with higher-order derivatives and higher-order controller filters (HO-PID), where the controller and filter orders can be arbitrarily chosen by the user. The controller and filter parameters are tuned according to the magnitude optimum criteria and the specified noise gain of the controller. The advantages of the proposed approach are twofold. First, all parameters can be obtained from the process transfer function or from the measured input and output time responses of the process as the steady-state changes. Second, the a priori defined controller noise gain limits the amount of HO-PID output noise. Therefore, the method can be successfully applied in practice. The work shows that the HO-PID controllers can significantly improve the control performance of various process models compared to the standard PID controllers. Of course, the increased efficiency is limited by the selected noise gain. The proposed tuning method is illustrated on several process models and compared with two other tuning methods for higher-order controllers.

Keywords: higher-order controllers; PID controller; magnitude optimum; controller tuning; noise attenuation (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
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