원문정보
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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
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
저자정보
참고문헌
자료제공 : 네이버학술정보