Research and Application of Smart Hanger Based on Airbag Inflation Model and Multi-object Collaborative Optimization Algorithm
- DOI
- 10.2991/iccia-17.2017.43How to use a DOI?
- Keywords
- Smart Hanger, Garment defect detecting, Flexible pressure sensor, Adaptive fuzzy control, Airbag inflation model, Multi objective optimization.
- Abstract
This paper presents a smart hanger based on airbag inflation and muti-object collaborative optimization algorithm 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. One multi-objective optimization algorithm is proposed for the various targets control on the smart hanger in order to achieve the optimal value.
- 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 - 2016/07 DA - 2016/07 TI - Research and Application of Smart Hanger Based on Airbag Inflation Model and Multi-object Collaborative Optimization Algorithm BT - Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017) PB - Atlantis Press SP - 263 EP - 268 SN - 2352-538X UR - https://doi.org/10.2991/iccia-17.2017.43 DO - 10.2991/iccia-17.2017.43 ID - Zhang2016/07 ER -