Key Technology Research on Stall Spin Simulation Training System of an Aircraft

Authors

Guangxu Xi, 1.PLA 95840 Troops, Baoding 072750, China;Follow
Yongyi Liu, 1.PLA 95840 Troops, Baoding 072750, China;
Chong Wu, 1.PLA 95840 Troops, Baoding 072750, China;Follow
Junjie Zhang, 2.Beijing Lantian Aviation Technology Co. , Ltd, Beijing 100085, China;
Yinghao Chen, 1.PLA 95840 Troops, Baoding 072750, China;

Abstract

Abstract: In order to realize the simulation continuity of the multi-state evolution of traffic and to solve the problem that multi-state traffic can only be simulated by single state traffic through multiple times, the middleware model of continuous traffic event simulation is built by the secondary development interface of VISSIM simulation software, and the original two related traffic simulation events are jointly driven. The secondary development of VISSIM-com is carried out by C# and database. The survey data of the intersection of Ganghua Road and Baihua Road in the Yuzhong District of Chongqing is selected as the example, and the continuous simulation verification for the traffic operation state of "Peacetime-Congestion-Dissipation" is carried out. The experimental results show that the traffic waves with speeds of -16.3 km/h and -7.47 km/h will be generated in the continuous simulation, and the average delay, total delay, parking times and average speed of the continuous simulation are more accurate, while the differences are 1.318 s, 0.748 h, 308 times and 0.647 km/h, respectively. Compared with the single simulation, the continuous simulation and the actual survey data are more consistent.

Recommended Citation

Xi, Guangxu; Liu, Yongyi; Wu, Chong; Zhang, Junjie; and Chen, Yinghao (2022) "Key Technology Research on Stall Spin Simulation Training System of an Aircraft," Journal of System Simulation: Vol. 34: Iss. 4, Article 23.
DOI: 10.16182/j.issn1004731x.joss.22-0237
Available at: https://dc-china-simulation.researchcommons.org/journal/vol34/iss4/23

First Page

878

Revised Date

2022-04-07

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.22-0237

Last Page

890

CLC

TP391

Recommended Citation

Guangxu Xi, Yongyi Liu, Chong Wu, Junjie Zhang, Yinghao Chen. Key Technology Research on Stall Spin Simulation Training System of an Aircraft[J]. Journal of System Simulation, 2022, 34(4): 878-890.

Corresponding Author

Chong Wu,wuchong1208@163.com

DOI

10.16182/j.issn1004731x.joss.22-0237