Design of Nonlinear Internal Model Controller using Local Linear Models, and its Application

DOI

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 Atlantis Press International B.V.

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/).

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TY  - JOUR
AU  - Shinichi Imai
PY  - 2021
DA  - 2021/07/23
TI  - Design of Nonlinear Internal Model Controller using Local Linear Models, and its Application
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 108
EP  - 111
VL  - 8
IS  - 2
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.k.210713.008
DO  - 10.2991/jrnal.k.210713.008
ID  - Imai2021
ER  -