Earticle

초록

영어

To make “Ramp-Strike Risk” evaluation making accurately, this paper introduces a new wave-off risk assessment method based on neural network of carrier-based aircraft. On account of defining “Wave-Off Retain Clearance”, the wave-off operation system with military power and vertical elevator is established as evaluation medium. The “Wave-Off Risk State Area” established by limited wave-off envelope can reduce network training burden, and the quantitative “Ramp-Strike Risk” function with flight state is presented through BP neural network finally. Simulation results show that the risk with flight states can be predicted by using new estimation method, moreover auxiliary rectification and early-warning for landing is provided.

목차

Abstract
 1. Introduction
 2. Problem Formulation
 3. Wave-off Maneuvering Analysis
  3.1. Wave-off operation
  3.2. Wave-off system
 4. “Ramp-Strike Risk” Evaluation Making Based on Neural Network
  4.1. Wave-Off Risk State Area (WORSA)
  4.2. BP neural network risk evaluation making
 5. Simulation
 6. Conclusion
 ACKNOWLEDGEMENTS
 References

키워드

저자

• Hai-tao Jiang [ School of Computer and Information Engineering Harbin University of Commerce ]
• Xiao-dong Su [ School of Computer and Information Engineering Harbin University of Commerce ]
• Hui Li [ School of Computer and Information Engineering Harbin University of Commerce ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605