Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation

Adaptive Fuzzy Control for Aircraft Tractor’s Magneto Rheological Semi-active Suspension

Authors
Junzhao Li, Xiao Cheng, Fuwei Qing
Corresponding Author
Junzhao Li
Available Online April 2015.
DOI
https://doi.org/10.2991/icmra-15.2015.108How to use a DOI?
Keywords
Aircraft tractor; Semi-active suspension; Magneto rheological damper; Adaptive fuzzy control; Adjustable factor
Abstract
In order to improve aircraft tractor’s ride comfort and traction friendly, this paper takes the MR semi-active suspension as the research object and establishes half body model. Through fitting, this paper obtained the magnetic rheological damper’s damping expression, designed a magnetic rheological damper with low pressure nitrogen compensation structure. The fuzzy control is used to study suspension’s performance. Aiming for reducing body acceleration, this paper introduced the thought of adaptive control to adjust the domain constantly. The simulation results shows that the adaptive fuzzy control can improve aircraft tractor’s suspension function obviously with small amount of calculation, good real-time performance. This algorithm has self-adaptability to the changes in the suspension parameters, easy to meet the control system’s requirement and realize in engineering.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
3rd International Conference on Mechatronics, Robotics and Automation
Part of series
Advances in Computer Science Research
Publication Date
April 2015
ISBN
978-94-62520-76-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmra-15.2015.108How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Junzhao Li
AU  - Xiao Cheng
AU  - Fuwei Qing
PY  - 2015/04
DA  - 2015/04
TI  - Adaptive Fuzzy Control for Aircraft Tractor’s Magneto Rheological Semi-active Suspension
BT  - 3rd International Conference on Mechatronics, Robotics and Automation
PB  - Atlantis Press
SP  - 552
EP  - 557
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmra-15.2015.108
DO  - https://doi.org/10.2991/icmra-15.2015.108
ID  - Li2015/04
ER  -