Development of a distributed real-time air combat simulation system

2003 ◽  
Author(s):  
Jianliang Ai ◽  
Zhiwen Li
Keyword(s):  
Real Time ◽  
Simulation System ◽  
Combat Simulation ◽  
Air Combat

Air Combat Simulation System for Airborne Weapon Equipment Verification

2021 ◽  
Author(s):  
Wen Chaoran ◽  
Wu Hongcheng ◽  
Wu Xinyun ◽  
Maoyujun ◽  
Yin Hang
Keyword(s):  
Simulation System ◽  
Combat Simulation ◽  
Air Combat

Design of Semi-Physical Simulation for Small Satellite by Virtual Display

2011 ◽  
Vol 130-134 ◽  
pp. 2684-2687 ◽  
Author(s):  
Kai Xu ◽  
Yan Lv ◽  
Guang Jin
Keyword(s):  
Control System ◽  
Real Time ◽  
Attitude Control ◽  
Physical Simulation ◽  
Simulation System ◽  
Space Environment ◽  
Small Satellite ◽  
Attitude Control System ◽  
Actual Environment ◽  
Virtual Display

Semi-physical simulation of attitude control system is the more synthetically test and verify for designing of small satellite control system. It is an important means of small satellite development. However, the results of current semi-physical simulation system have a lot of non-intuitive. Compare with the actual environment, the simulation environment still has striking disparity. So the shortcomings affect precision of simulation. Based on the virtual display technology, the group semi-physical simulation system has been constructed for attitude control of small satellite due to the combination with xPC real-time environment, the simulation computer, high-precision single-axis air-bearing turntable, reaction wheel, air thrust device, fiber gyroscopes, sensors synchronizer, power subsystem and wireless devices virtual display computer etc. Semi-physical simulation achieved the visual simulation in orbit and tracked new information of virtual environment of space into real-time simulation computer. Simulation results show that the simulation system for real-time attitude and orbit position of small satellite semi-physical simulation has an excellent display effect. At the same time, Real-time transfuse of orbit information provides a more accurate space environment simulation. The simulation system of small satellite attitude control to design and evaluate the more direct and convenient.

scholarly journals Moving Time UCAV Maneuver Decision Based on the Dynamic Relational Weight Algorithm and Trajectory Prediction

2021 ◽  
Vol 2021 ◽  
pp. 1-19
Author(s):  
Xie Lei ◽  
Ding Dali ◽  
Wei Zhenglei ◽  
Xi Zhifei ◽  
Tang Andi
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Prediction Accuracy ◽  
Control Variable ◽  
Trajectory Prediction ◽  
Constant Weight ◽  
Adaptive Boosting ◽  
Time Performance ◽  
Correlation Degree ◽  
Air Combat

To improve the accuracy and real-time performance of autonomous decision-making by the unmanned combat aerial vehicle (UCAV), a decision-making method combining the dynamic relational weight algorithm and moving time strategy is proposed, and trajectory prediction is added to maneuver decision-making. Considering the lack of continuity and diversity of air combat situation reflected by the constant weight in situation assessment, a dynamic relational weight algorithm is proposed to establish an air combat situation system and adjust the weight according to the current situation. Based on the dominance function, this method calculates the correlation degree of each subsituation and the total situation. According to the priority principle and information entropy theory, the hierarchical fitting function is proposed, the association expectation is calculated by using if-then rules, and the weight is dynamically adjusted. In trajectory prediction, the online sliding input module is introduced, and the long- and short-term memory (LSTM) network is used for real-time prediction. To further improve the prediction accuracy, the adaptive boosting (Ada) method is used to build the outer frame and compare with three traditional prediction networks. The results show that the prediction accuracy of Ada-LSTM is better. In the decision-making method, the moving time optimization strategy is adopted. To solve the problem of timeliness and optimization, each control variable is divided into 9 gradients, and there are 729 control schemes in the control sequence. Through contrast pursuit simulation experiments, it is verified that the maneuver decision method combining the dynamic relational weight algorithm and moving time strategy has a better accuracy and real-time performance. In the case of using prediction and not using prediction, the adaptive countermeasure simulation is carried out with the current more advanced Bayesian inference maneuvering decision-making scheme. The results show that the UCAV maneuvering decision-making ability combined with accurate prediction is better.

scholarly journals Distributed and Real-time Integrated Simulation System on Avionics

2017 ◽  
Vol 18 (3) ◽  
pp. 574-578
Author(s):  
Yaoming Zhou ◽  
Yaolong Liu ◽  
Shaowei Li ◽  
Yuhong Jia
Keyword(s):  
Real Time ◽  
Simulation System ◽  
Integrated Simulation

Development of a Virtual Proving Ground for Commercial Vehicle

2012 ◽  
Vol 457-458 ◽  
pp. 1529-1535
Author(s):  
Tao Chen ◽  
Lang Wei
Keyword(s):  
Real Time ◽  
Commercial Vehicle ◽  
System Development ◽  
Stability Study ◽  
Simulation System ◽  
Vehicle Simulation ◽  
System A ◽  
Simulated Environment ◽  
Factor Study ◽  
Vehicle Test

Virtual proving ground (VPG) are used effectively for commercial vehicle system development, human factor study, and other purposes by enabling to reproduce actual driving conditions in a safe and tightly controlled environment. This paper describes a virtual proving ground developed for design and evaluation of commercial vehicle and for driver-vehicle interaction study. VPG consists of a real-time vehicle simulation system, a visual and audio system, a driver handling signals acquisition system providing a realistic interface between the operator and the simulated environment, and 3D proving ground databases with areas suitable for various types of vehicle test tasks. The real-time vehicle simulation system simulates dynamic motion of realistic vehicle models in real-time. The visual system generates high fidelity driving scenes. The handling signals collection system acquires the steering, braking, accelerating, and shifting operation of driver. The pilot experiments carried out in the areas of vehicle handling and stability study are also presented to show the effectiveness of the developed VPG.

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