Flight Test Intelligent Mission Planning System Based on Big Data Platform

H. Zeyuan, Wang Huahui, Liu NanBo
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Abstract

In order to improve the capability of aircraft flight test data, this paper proposes an intelligent flight test mission planning system which is based on a big data platform, combined with artificial intelligence algorithms, modeling and simulation technologies. This system can meet the flight test requirements of the new aircraft, and complete the test flight syllabus, decompose and integrate the test flight task, make the test flight plan for the specific sortie and verify the simulation. Finally, it can formulate a scientific and efficient test flight plan. The intelligence of the system runs through the entire workflow, including the design, validation and finalization of the flight test plan. This article will introduce the main principles and methods of this system.
基于大数据平台的试飞智能任务规划系统
为了提高飞机试飞数据的能力,本文提出了一种基于大数据平台,结合人工智能算法、建模和仿真技术的智能试飞任务规划系统。该系统能够满足新飞机的飞行试验要求,完成试飞大纲,分解整合试飞任务,制定具体架次的试飞计划,并进行仿真验证。最后,制定科学、高效的试飞计划。该系统的智能贯穿于整个工作流程,包括飞行测试计划的设计、验证和最终确定。本文将介绍该系统的主要原理和方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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