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面向智能空战的它机协同试飞验证方法
引用本文:王悦,张少卿,王言伟,王振宇,王玥,刘志军,张涛.面向智能空战的它机协同试飞验证方法[J].导航定位于授时,2022(5):91-99.
作者姓名:王悦  张少卿  王言伟  王振宇  王玥  刘志军  张涛
作者单位:沈阳飞机设计研究所综合航电部,沈阳 110035;;北京理工大学机电学院,北京 100081;;中北大学机电工程学院,太原 030051;
摘    要:为验证无人机自主协同算法在空战环境下的适用性,提出了一种高等效的它机协同试飞验证方法。根据算法功能实现的需求,以成熟的民用固定翼无人机平台为基础进行改装,搭建它机试飞平台,对真实空战环境开展模拟和等效设计。以四机协同编队算法为例,在试飞平台上移植算法程序,开展相关科目试飞验证。当需要验证不同控制算法时,无需针对它机试飞平台开发控制策略,只需修改控制算法即可。试验结果表明:编队综合误差较小,算法能够实现无人机编队的稳定控制;同时,它机协同试飞验证方法因其迭代速度快、安全稳定性高、成本低等特点,可用作中间阶段算法的前置试飞手段,为算法的开发迭代提供有效验证。

关 键 词:协同技术  它机  试飞平台  智能空战  试飞验证

Cooperative Test Flight Platform Verification Method for Intelligent Air Combat
WANG Yue,ZHANG Shao-qing,WANG Yan-wei,WANG Zhen-yu,WANG Yue,LIU Zhi-jun,ZHANG Tao.Cooperative Test Flight Platform Verification Method for Intelligent Air Combat[J].Navigation Positioning & Timing,2022(5):91-99.
Authors:WANG Yue  ZHANG Shao-qing  WANG Yan-wei  WANG Zhen-yu  WANG Yue  LIU Zhi-jun  ZHANG Tao
Institution:Integrated Avionics Department, Shenyang Aircraft Design and Research Institute, Shenyang 110035, China;;School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China;; School of Mechanical and Electrical Engineering, North University of China, Taiyuan 030051, China
Abstract:In order to verify the applicability of autonomous cooperative algorithm for unmanned aerial vehicle (UAV) in air combat environment, a highly equivalent cooperative flight test verification method is proposed. Based on the requirements of function realization of the algorithm, a mature civilian fixed-wing UAV platform is modified to build a test flight platform of other aircraft, and the simulation and equivalent design of real air combat environment is carried out. Taking the cooperative formation algorithm of four aircraft as an example, the algorithm program is transplanted on the test flight platform to carry out flight test of relevant subjects. During the verification of control algorithms, there is no need to develop control strategies for other aircraft test flight platform, but to modify the control algorithm. The experimental results show that the formation synthesis error is small, and the algorithm can realize the stable control of UAV formation. At the same time, because of its characteristics of fast iteration speed, high safety and stability performance, and low cost, this method can be used as the pre-test method of the intermediate stage algorithm to provide effective validation for the algorithm development iteration.
Keywords:Collaborative technology  Other aircraft  Test flight platform  Intelligent air combat  Flight verification
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