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Issue title: Meta-Heuristic Techniques for Solving Computational Engineering Problems: Challenges and New Research Directions
Guest editors: Suresh Chandra Satapathy, Rashmi Agrawal and Vicente García Díaz
Article type: Research Article
Affiliations: College of Flight Technology, Civil Aviation Flight University of China, Guanghan, Sichuan, China
Correspondence: [*] Corresponding author. Yu Qian, College of Flight Technology, Civil Aviation Flight University of China, Guanghan, Sichuan, China. E-mail: qianyu@cafuc.edu.cn.
Abstract: With the development of wireless sensor technology, more and more fields are applied to wireless sensor technology, and the design and implementation of the flight scene system are in it. The purpose of this study is to design and implement a flight visual simulation system using sensor technology and QAR data. The method of this study is to first establish the mathematical model of the aircraft and then calculate the aerodynamic force and torque of each part of the aircraft respectively to obtain the nonlinear dynamic model of the aircraft, and finally realize the whole simulation model on the MATLAB platform. The results show that the main motion variables corresponding to the conjugate complex root (0.0530.287i) are the velocity and pitch angle of the aircraft, and they all change slowly and long period. The period is 21.9 seconds, and the frequency doubling time (LN2 / 0.053 + 0.287i) is 11.0 seconds, which meets the requirements of flight quality specification. It is concluded that the flight visual simulation system in this study can well describe the flight trajectory and observe the external scene. The simulation system uses computer graphics and image technology to realize real-time and accurate simulation and reproduction of the flight status and trajectory of the aircraft, which can provide an intuitive and convenient simulation analysis method for the exploration of new aerospace technology and engineering design.
Keywords: Sensor technology, QAR data, flight visual system, simulation design
DOI: 10.3233/JIFS-189429
Journal: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 5893-5903, 2021
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