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.210713.008
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/).