FVMS Software-in-the-Loop Flight Simulation Experiments: Guidance, Navigation and Control

Rômulo T. Rodrigues, R. C. B. Sampaio, Antonio Pedro Aguiar, M. Becker
{"title":"FVMS Software-in-the-Loop Flight Simulation Experiments: Guidance, Navigation and Control","authors":"Rômulo T. Rodrigues, R. C. B. Sampaio, Antonio Pedro Aguiar, M. Becker","doi":"10.1109/SBR.LARS.ROBOCONTROL.2014.48","DOIUrl":null,"url":null,"abstract":"This paper proposes a new and powerful methodology to the evaluation of guidance, navigation and control algorithms (GNC) in Software-in-the-Loop (SiL) flight simulation using Microsoft Flight Simulator (MSFS). The SiL was assisted by the Flight Variables Management System (FVMS), a Graphic User Interface (GUI) that fully interfaces communication between MSFS and general purpose custom GNC algorithms. The originality of this new approach is to make the FVMS communication layer completely transparent to the designer so that full attention may be focused exclusively on guidance algorithm development and the debugging process as well. Furthermore, the application may be extended to both multi-engine fixed and rotary wing aircraft. When it comes to the design, development and validation of brand new control algorithms of GNC for unmanned systems, SiL flight simulation becomes an exceedingly useful tool since end-product may misbehave in-flight. It impacts over avoiding hazard situation of crew and population in the ground and on preserving expensive equipment of being damaged. To illustrate FVMS capabilities and assets on GNC systems design, a nonlinear path following algorithm is set up. FVMS GNC module is endowed with a full map interface and a mission management through which one may build/rebuild the UAV path on-line. The results demonstrate the potential of the framework on the implementation of either simple or more complex solutions for the GNC problem.","PeriodicalId":264928,"journal":{"name":"2014 Joint Conference on Robotics: SBR-LARS Robotics Symposium and Robocontrol","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Joint Conference on Robotics: SBR-LARS Robotics Symposium and Robocontrol","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SBR.LARS.ROBOCONTROL.2014.48","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

Abstract

This paper proposes a new and powerful methodology to the evaluation of guidance, navigation and control algorithms (GNC) in Software-in-the-Loop (SiL) flight simulation using Microsoft Flight Simulator (MSFS). The SiL was assisted by the Flight Variables Management System (FVMS), a Graphic User Interface (GUI) that fully interfaces communication between MSFS and general purpose custom GNC algorithms. The originality of this new approach is to make the FVMS communication layer completely transparent to the designer so that full attention may be focused exclusively on guidance algorithm development and the debugging process as well. Furthermore, the application may be extended to both multi-engine fixed and rotary wing aircraft. When it comes to the design, development and validation of brand new control algorithms of GNC for unmanned systems, SiL flight simulation becomes an exceedingly useful tool since end-product may misbehave in-flight. It impacts over avoiding hazard situation of crew and population in the ground and on preserving expensive equipment of being damaged. To illustrate FVMS capabilities and assets on GNC systems design, a nonlinear path following algorithm is set up. FVMS GNC module is endowed with a full map interface and a mission management through which one may build/rebuild the UAV path on-line. The results demonstrate the potential of the framework on the implementation of either simple or more complex solutions for the GNC problem.
FVMS软件在环飞行仿真实验:制导、导航和控制
本文提出了一种基于微软飞行模拟器(MSFS)的环中软件(SiL)飞行仿真中制导、导航和控制算法(GNC)评估的新方法。SiL由飞行变量管理系统(FVMS)辅助,这是一个图形用户界面(GUI),可以完全连接MSFS和通用自定义GNC算法之间的通信。这种新方法的独创性在于使FVMS通信层对设计人员完全透明,以便将全部注意力集中在引导算法的开发和调试过程上。此外,其应用范围还可扩展到多发动机固定翼和旋翼飞机。当涉及到无人系统GNC的全新控制算法的设计,开发和验证时,SiL飞行仿真成为一个非常有用的工具,因为最终产品可能在飞行中出现不良行为。它对避免地面人员和人员的危险情况以及保护昂贵的设备免受损坏具有重要意义。为了说明FVMS在GNC系统设计中的功能和价值,建立了一个非线性路径跟踪算法。FVMS GNC模块具有全图界面和任务管理功能,可在线构建/重建无人机路径。结果证明了框架在GNC问题的简单或更复杂解决方案的实现上的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信