Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)

LADRC-KALM Control Method Research for Three-motor Synchronous System

Authors
Hui Li, Jing Li
Corresponding Author
Hui Li
Available Online July 2019.
DOI
10.2991/masta-19.2019.13How to use a DOI?
Keywords
Linear optimization active disturbance rejection control, Kalman filter, Measuring noise, Decoupling performance
Abstract

A linear active disturbance rejection control compound Kalman filter (LADRC-KALM) control method was proposed aiming to three-motor synchronous system in this paper. The system was controlled by the use of ADRC’s strong anti-interference ability and decoupling performance. The observation results of extended state observer (ESO) would be affected if the measuring noise was not taken into account. Thus, the output feedback signal must be filtered by Kalman filter before entering ESO of ADRC. System simulation and experimental results showed that many control indicators of LADRC-KALM were significantly better than the one of linear disturbance rejection control (LADRC).

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)
Series
Advances in Intelligent Systems Research
Publication Date
July 2019
ISBN
978-94-6252-761-4
ISSN
1951-6851
DOI
10.2991/masta-19.2019.13How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Hui Li
AU  - Jing Li
PY  - 2019/07
DA  - 2019/07
TI  - LADRC-KALM Control Method Research for Three-motor Synchronous System
BT  - Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)
PB  - Atlantis Press
SP  - 75
EP  - 80
SN  - 1951-6851
UR  - https://doi.org/10.2991/masta-19.2019.13
DO  - 10.2991/masta-19.2019.13
ID  - Li2019/07
ER  -