Authors
Shinichi Imai*
Graduate School, Tokyo Gakugei University, 4-1-1, Nukuikita-machi, Koganei, Tokyo 184-8501, Japan
*Email: [email protected]
Corresponding Author
Shinichi Imai
Received 27 October 2020, Accepted 15 May 2021, Available Online 23 July 2021.
DOI
https://doi.org/10.2991/jrnal.k.210713.008How to use a DOI?
Keywords
Feedback control; local linear models; internal model controller
Abstract
In chemical plants and other process industries, desired conditions are achieved by adjusting controllers. However, it is difficult to obtain the desired control response because most of the controllers use fixed Proportional-Integral-Differential (PID) control. On the other hand, the internal model control method, in which the control target is described by a detailed mathematical expression, has been proposed. The internal model control is simple to control system structure and is characterized by high robust stability against uncertainties of the control target. However, there are few examples of applying internal model control to nonlinear systems. In this paper, we propose a new method for designing an internal model control system that constructs multiple local linear models for a nonlinear system and adjusts the system parameters corresponding to the models. The effectiveness of the proposed method is verified through experiments.
Copyright
© 2021 The Author. Published by ALife Robotics Corp. Ltd
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).