Proceedings of the 2016 International Conference on Mechatronics, Control and Automation Engineering

Robust Auto-tuning Fractional Order Control of an Aerodynamical System

Authors
Eva-H Dulf, Cristina-I. Muresan, Roxana Both-Rusu, Francisc-V. Dulf
Corresponding Author
Eva-H Dulf
Available Online July 2016.
DOI
10.2991/mcae-16.2016.11How to use a DOI?
Keywords
fractional order control; auto-tuning control structure; twin-rotor system
Abstract

The present paper's goal is to offer to the user a method which are similar to the "Plug and Play" idea in the world of "Control": the auto-tuning control structure of a twin-rotor aerodynamical system, a highly nonlinear, multi input multi output system. Knowing the fact that in industrial applications PID controllers are widely used, the authors uses a generalized PID: a fractional order PID controller. The controller parameters are tuned based on a novel, simplified algorithm using vector theory. Experimental results using a laboratory scale equipment reveal that the suggested control approach is effective and near optimal.

Copyright
© 2016, 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 2016 International Conference on Mechatronics, Control and Automation Engineering
Series
Advances in Engineering Research
Publication Date
July 2016
ISBN
10.2991/mcae-16.2016.11
ISSN
2352-5401
DOI
10.2991/mcae-16.2016.11How to use a DOI?
Copyright
© 2016, 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  - Eva-H Dulf
AU  - Cristina-I. Muresan
AU  - Roxana Both-Rusu
AU  - Francisc-V. Dulf
PY  - 2016/07
DA  - 2016/07
TI  - Robust Auto-tuning Fractional Order Control of an Aerodynamical System
BT  - Proceedings of the 2016 International Conference on Mechatronics, Control and Automation Engineering
PB  - Atlantis Press
SP  - 42
EP  - 45
SN  - 2352-5401
UR  - https://doi.org/10.2991/mcae-16.2016.11
DO  - 10.2991/mcae-16.2016.11
ID  - Dulf2016/07
ER  -