Support Vector with ROC Optimization Method Based Fuel Consumption Modeling for Civil Aircraft
This paper is to present a simplified model to estimate aircraft fuel consumption using support vector algorithm.The method developed here can be implemented in fast-time airspace and airfield simulation application.A representative support vector network aided fuel consumption model is developed using data given in the route date and aircraft performance manual,support vector machine is trained to estimate fuel consumption of a certain aircraft.Also Receiver Operating Characteristic Curve is introduced to the performance evaluation of trained model.This methodology can be extended to any type of aircraft including piston and turboprop type with confidence.The data used in this study is applicable to the Boeing 737-800 aircraft which powered by CFM56 engines.Model outputs were compared to the actual performance provided in the aircraft performance manual and found to be accurate for implementation in fast-time simulation models.The results of this study illustrate that a support vector model with ROC optimization can accurately represent complex aircraft fuel consumption functions for full flight phase.
support vector machine fuel consumption aviation model optimization
Zhang Haifeng Wang Xu-hui Chen Xin-feng
Nanjing University of Aeronautics and Astronautics,Nanjing,China China Academy of Civil Aviation Science and Technology,Beijing,China
国际会议
2014 Asia-Pacific International Symposium on Aerospace Technology(2014亚太航空航天技术学术会议)
上海
英文
1-7
2014-09-24（万方平台首次上网日期，不代表论文的发表时间）