基于跑道表面的飞机着陆智能决策支持系统

Zhexen Y. Seitbattalov, S. Atanov, Zhanar S. Moldabayeva
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引用次数: 3

摘要

提出了一种基于模糊逻辑的波音747-100飞机驾驶员辅助决策支持系统。在MATLAB中设计的模糊逻辑控制模型主要对雷达、全球定位系统和各种传感器接收到的外部数据进行分析。研究的目的是为了减少波音747-100飞机着陆辅助系统和速度分析导致的事故数量。为了避免航空事故的发生,需要考虑飞机的着陆速度、制动力、滚动阻力、与障碍物的距离和跑道长度。基于Mamdani模糊推理系统的模糊逻辑模型为飞机着陆辅助系统提供了可接受制动力和停止距离的输出数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Intelligent Decision Support System for Aircraft Landing Based on the Runway Surface
This paper presents a decision support system based on fuzzy logic as assistance for aircraft pilots of Boeing 747-100. The designed Fuzzy Logic Control model in the MATLAB concentrates on analysis of the external data, which are received from radar, Global Positioning System and various sensors. The purpose of the research is to reduce the amount of accidents due to aircraft landing assistance system and speed analysis of Boeing 747-100. To avoid an aviation accident, the landing speed of aircraft, the braking force, the rolling resistance, distance to obstacles and runway length are taken in to consideration. As a result of fuzzy logic model based on Mamdani Fuzzy Inference System the aircraft landing assistance provides the output data of acceptable braking force and stopping distance.
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