Journal of the Korean Society for Aeronautical & Space Sciences (한국항공우주학회지)

The Korean Society for Aeronautical and Space Sciences (한국항공우주학회)
권호 표지
DOI QR코드

DOI QR Code

Development of Autonomous Reconnaissance Flight Simulation for Unmanned Aircraft to Derive Flight Operating Condition

자율정찰비행 무인항공기의 비행운영조건 고찰을 위한 비행시뮬레이션 개발

  • Received : 2018.10.11
  • Accepted : 2019.03.20
  • Published : 2019.04.01
Download PDF
⟨ Previous Next ⟩

Abstract

The efficiency and effectiveness of mission performance can be greatly changed according to the operating conditions such as the number of manned aircraft, flight altitude, and so on, in performing search and reconnaissance missions using a large number of small reconnaissance unmanned aerial vehicles. However, it is not easy to determine which operating conditions are most reasonable. Therefore, in this study, we developed an unmanned airplane flight simulation that can detect and identify the target while avoiding collision according to autonomous flight, suggesting a way to derive operating conditions when operating a large number of unmanned aerial vehicles.

다수의 소형 정찰용 무인항공기를 이용하여 탐색 및 정찰 임무를 수행하는데 있어서 무인항공기의 운용 대수, 비행고도 등 운용 조건에 따라 임무 수행의 효율성과 효과성은 크게 변경될 수 있다. 하지만 어떤 운용조건이 가장 합리적인지 판단하기는 쉽지 않다. 따라서 본 연구에서는 자율비행에 따라 충돌을 회피하면서 표적을 탐지 및 판별할 수 있는 무인항공기 비행 시뮬레이션을 개발하여 다수의 무인항공기 운용 시 보다 효과적이고 효율적인 운용조건을 도출할 수 있는 방안을 제시하였다.

Keywords

References

  1. Lambach, J. L., "Integrating UAS Flocking Operations with Formation Drag Reduction," Master's Thesis, Air Force Institute of Technology, Wright Patterson AFB, OH, March 2014.
  2. Reynolds, C. W., "Flocks, herds and school: A distributed behavioral model," ACM SIGGRAPH Computer Graphics, Vol. 21, No. 4, July 1987, pp.25-34. https://doi.org/10.1145/37402.37406
  3. Kwon, I. K., and Lee, S. Y., "Fuzzy flocking method for boid's ecosystem behavior modeling," Proceedings of the Korean Institute of Information Scientists and Engineers, Vol. 30, No. 2, October 2003, pp.73-75.
  4. Xu, H., and Carrillo, L. R. G., "Distributed Near Optimal Flocking Control for Multiple Unmanned Aircraft Systems," 2015 International Conference on Unmanned Aircraft Systems(ICUAS), June 2015, pp.879-885.
  5. Kaiser, J. N., "Effects of Dynamically Weighting Autonomous Rules in an Unmanned Aircraft System(UAS) Flocking Model," Master's Thesis, Air Force Institute of Technology, Wright Patterson AFB, OH, September 2014.
  6. Ratches, J. A., Walters, C. P., Buser, R. G., and Guenther, B. D., "Aided and Automatic Target Recognition Based Upon Sensory Inputs From Image Forming Systems," IEEE Transactions on Pattern Analysis and Intelligence, Vol. 19, No. 9, September 1997, pp.1004-1019. https://doi.org/10.1109/34.615449
  7. Schulz, C. S., Jacques, D. R., and Pachter, M., "Cooperative Control Simulation Validation Using Applied Probability Theory", Theory and Algorithms for Cooperative Systems, 2004, pp.481-498.