Open Access
Issue |
JNWPU
Volume 40, Number 1, February 2022
|
|
---|---|---|
Page(s) | 167 - 174 | |
DOI | https://doi.org/10.1051/jnwpu/20224010167 | |
Published online | 02 May 2022 |
- Chu Weihua, Tang Gengsheng, Wang Fan. Research and realization on the control strategies of the 2 m×2 m supersonic wind tunnel[J]. Journal of Experiments in Fluid Mechanics, 2012 (10) : 98–102 [Article] (in Chinese) [Google Scholar]
- Zhou Bo, Gao Chuan, Yang Yang. Study on varying dynamic pressure control of flow field in 2 m supersonic wind tunnel[J]. Journal of Experiments in Fluid Mechanics, 2019 (6) : 72–77 [Article] (in Chinese) [Google Scholar]
- Michael L M. Feasibility of operating the AEDC supersonic wind tunnel(16S) up to Mach number 6[R]. AIAA-2004-1138 [Google Scholar]
- Frank W S, JR., Wayne R H. Mach number 6 capability for AEDC supersonic wind tunnel(16S), requirements and concepts[R]. AIAA-2004-2494 [Google Scholar]
- Frank M J. Progress update on the reactivation of AEDC PWT tunnel 16S[R]. AIAA-2004-2501 [Google Scholar]
- Zhan Peiguo. Overview of the Russian TsAGI's wind tunnel test facilities[M]. Beijing : National Defense Industry Press, 2018 (in Chinese) [Google Scholar]
- Zhan Peiguo. Overview of the Russian TsAGI's wind tunnel test facilities[M]. Beijing : National Defense Industry Press, 2018 (in Chinese) [Google Scholar]
- Gobert J L. ETW control system: design and first results[R]. AIAA-1994-2514 [Google Scholar]
- Paryz R W. Upgrades at the NASA langley research center national transonic facility[R]. AIAA-2012-0102 [Google Scholar]
- Layukallo T, Nakamura Y. The efficiency of a second throat in stabilizing the flow in a transonic wind tunnel[R]. AIAA-1999-3413 [Google Scholar]
- Chen Dan, Zhang Yongshuang, Li Gang, et al. Mach number control strategy for continuous wind tunnel with second throat[J]. Journal of Aerospace Power, 2019, 34(10) : 2167–2176 [Article] (in Chinese) [Google Scholar]
- Liao Daxiong, Chen Jiming, Peng Qiang, et al. Key design techniques of the low noise continuous transonic wind tunnel[J]. Journal of Experiments in Fluid Mechanics, 2011 (8) : 74–78 [Article] (in Chinese) [Google Scholar]
- Chen Dan, Zhang Yongshuang, Li Gang, et al. A design of total pressure control method for continuous transonic wind tunnel[J]. Journal of Experiments in Fluid Mechanics, 2019 (6) : 65–71 [Article] (in Chinese) [Google Scholar]
- Lan Qilong. Research on multivariable control strategy based on neural network predictive control in cryogenic wind tunnel[D]. Mianyang: China Aerodynamics Research and Development Center, 2016 (in Chinese) [Google Scholar]
- Hao Lishu, Qiao Zhide, Zhang Yongshuang, et al. Design research on the Mach number closed-loop control system in the NF-6 wind tunnel[J]. Journal of Experiments in Fluid Mechanics, 2010 (10) : 85–88 [Article] (in Chinese) [Google Scholar]
- Zhang Yongshuang, Chen Dan, Chen Jiao. Comparison and research on the Mach number control methods for the NF-6 continuous transonic wind tunnel[J]. Journal of Experiments in Fluid Mechanics, 2013 (4) : 95–99 [Article](in Chinese) [Google Scholar]
- Chen Dan, Yang Xiaosong, Li Gang. Relativity research of total pressure and regulating valve in continuous wind tunnel and its application[J]. Journal of Northwestern Polytechnical University, 2020, 38(2) : 325–332 [Article] (in Chinese) [CrossRef] [EDP Sciences] [Google Scholar]
- Wang Chao, Sun Wenxu, Ma Xiaojing, et al. Temperature control system of HVPE growth equipment based on fuzzy control[J]. Chinese Journal of Engineering Design, 2020 (6) : 765–770 [Article] (in Chinese) [Google Scholar]
- Wang Xin, Liu Yiming, Wang Mingming, et al. Design of wheeled robot speed controller based on improved fuzzy PID[J]. Journal of Hebei University of Science and Technology, 2020 (1) : 65–70 [Article] (in Chinese) [Google Scholar]
- Xu Ying. The design of variable Mach wind tunnel control system and application of adaptive fuzzy control algorithm[D]. Beijing: Beijing University of Chemical Technology, 2014 (in Chinese) [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.