Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)

Research and Application of Smart Hanger Based on Airbag Inflation Model and Fuzzy Self-adaptive PID method

Authors
Yihong Zhang, Xi Jin, Zhijie Wang
Corresponding Author
Yihong Zhang
Available Online June 2017.
DOI
10.2991/caai-17.2017.81How to use a DOI?
Keywords
-smart hanger; garment defect detecting; flexible pressure sensor; adaptive fuzzy PID contro; airbag inflation model
Abstract

This paper demonstrates one smart hanger based on airbag inflation and fuzzy Self-adaptive PID method for intelligent garment inspecting system. To fully extend the garment to a proper position, one fuzzy Self-adaptive PID method is given to control the pneumatic motor by comparing the feedback value of the flexible pressure sensor with the threshold value. Flexible sensor arrays were embedded on the surface of the smart hanger; the pressure value detected shows appropriate degree between cloths and the smart hanger, and it's an important standard for garment inspection. The adaptive fuzzy control algorithm is proposed to control the whole process.

Copyright
© 2017, 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 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
Series
Advances in Intelligent Systems Research
Publication Date
June 2017
ISBN
978-94-6252-360-9
ISSN
1951-6851
DOI
10.2991/caai-17.2017.81How to use a DOI?
Copyright
© 2017, 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  - Yihong Zhang
AU  - Xi Jin
AU  - Zhijie Wang
PY  - 2017/06
DA  - 2017/06
TI  - Research and Application of Smart Hanger Based on Airbag Inflation Model and Fuzzy Self-adaptive PID method
BT  - Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
PB  - Atlantis Press
SP  - 358
EP  - 361
SN  - 1951-6851
UR  - https://doi.org/10.2991/caai-17.2017.81
DO  - 10.2991/caai-17.2017.81
ID  - Zhang2017/06
ER  -