Journal of System Simulation
Abstract
Abstract: Aiming at the domestic aircraft stall spin simulation training need, a stall spin simulation training system is developed. The training system consists of the multi-channel dome visual system, the semi-physical simulation cockpit and the maneuvering force control loading system, etc. Distributed simulation technology is used to develop a realistic man-in-the-loop simulation training environment. For the stall spin simulation, the multi-source aerodynamic data is processed comprehensively, and an unsteady aerodynamic model at high angle of attack (AOA) is constructed, and the heavy-load digital electric control loading technology is used to realize the simulation of stall spin alternating force and jitter characteristics of steering, which realizes the stall spin simulation training of man-in-the-loop.
Recommended Citation
Zhao, Zi'an; Zhou, Hong; and Lei, Yingjian
(2022)
"Modeling and Optimization for Manufacturing Cell Scheduling Based on Improved Wolf Pack Algorithm and Simulation,"
Journal of System Simulation: Vol. 34:
Iss.
2, Article 3.
DOI: 10.16182/j.issn1004731x.joss.21-0372
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol34/iss2/3
First Page
201
Revised Date
2021-08-11
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.21-0372
Last Page
211
CLC
TP391.9
Recommended Citation
Zi'an Zhao, Hong Zhou, Yingjian Lei. Modeling and Optimization for Manufacturing Cell Scheduling Based on Improved Wolf Pack Algorithm and Simulation[J]. Journal of System Simulation, 2022, 34(2): 201-211.
DOI
10.16182/j.issn1004731x.joss.21-0372
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