Pressure Measurement of the Flexible Pipe Algorithm in Aerial Refueling based on SVR with Parameter Optimization
Authors
Wanxu Zhang, Xiangnan Li, Lin Wang
Corresponding Author
Wanxu Zhang
Available Online March 2015.
- DOI
- 10.2991/iiicec-15.2015.459How to use a DOI?
- Keywords
- aerial refueling; flexible pipe pressure; SVR; parameter optimization
- Abstract
With the problem that the pressure of the flexible pipe in aerial refueling was hard to be measured directly by sensors, a pressure measurement algorithm based on support vector regression (SVR) with parameter optimization was proposed in this paper. First, a data model with a large amount of historical data based on SVR was set up. Then the parameters of the model were optimized by cross-validation and grid-search method. Experimental results show that the method has a high prediction precision and good generalization ability comparing with BP neural network.
- Copyright
- © 2015, 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 - Wanxu Zhang AU - Xiangnan Li AU - Lin Wang PY - 2015/03 DA - 2015/03 TI - Pressure Measurement of the Flexible Pipe Algorithm in Aerial Refueling based on SVR with Parameter Optimization BT - Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference PB - Atlantis Press SP - 2109 EP - 2112 SN - 2352-538X UR - https://doi.org/10.2991/iiicec-15.2015.459 DO - 10.2991/iiicec-15.2015.459 ID - Zhang2015/03 ER -