A Design Method of Generalized Predictive Control Systems in Consideration of Noise

DOI

10.2991/jrnal.k.200528.012How to use a DOI?

Keywords

Generalized predictive control; closed-loop characteristics; noise; output prediction

Abstract

Generalized Predictive Control (GPC) is one of the model-based control methods. The control law is derived by minimizing performance index, which includes the squares of control input and the squares of the error between reference signal and output prediction, in order to make the derived control system be stable. Although coprime factorization approach has been used to extend the conventional control law in the previous researches, there has been a possibility that the order of the derived control law becomes high. Therefore, this paper extends GPC through newly-defined output prediction and proposes the method to re-design the control law or the disturbance response with keeping the closed-loop transfer function. Numerical example is shown to check the characteristic of the proposed method.

Copyright

© 2020 The Authors. Published by Atlantis Press SARL.

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  - Akira Yanou
PY  - 2020
DA  - 2020/06/03
TI  - A Design Method of Generalized Predictive Control Systems in Consideration of Noise
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 129
EP  - 132
VL  - 7
IS  - 2
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.k.200528.012
DO  - 10.2991/jrnal.k.200528.012
ID  - Yanou2020
ER  -