Flight Management System for a UAV Based on Optimal Control

基于最优控制的无人机飞行管理系统

• 批准号: 485045-2015
• 负责人: Rodrigues, Luis
• 金额: $ 1.82万
• 依托单位: Concordia University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=584682
• 关键词: Flight; Management; System; UAV; Based

Uninhabited Aerial Vehicles (UAVs) are becoming ubiquitous in our world. At a stage where the USA is opening its airspace to UAVs in 2015, Canada and the rest of the world will have a new industrial opportunity with enormous potential to move billions of dollars. The challenges are unprecedented. Without reliable, stable and high performance flight management systems (FMS) we simply cannot be successful. The company-specific problem of this research is to design an advanced FMS algorithm for UAVs that can save energy consumption while meeting desired goals for the UAV mission. The work will be done in collaboration with Marinvent Corporation who owns a flight simulator where the work will be tested. The innovative part of this research will be to combine two different existing methodologies of optimal control (maximum principle and moment approach) to solve a flight planning problem.

无人机（UAV）在我们的世界中变得无处不在。在这个阶段， 2015年向无人机开放领空后，加拿大和世界其他地区将迎来一个新的产业机遇 有巨大的潜力转移数十亿美元。挑战是前所未有的。没有可靠、稳定的 和高性能飞行管理系统（FMS），我们根本无法成功。的 本研究的一个公司特定的问题是设计一种先进的无人机FMS算法，可以节省 能量消耗，同时满足UAV使命的期望目标。这项工作将通过合作完成 拥有一个飞行模拟器的Marinvent公司将在那里测试这项工作。创新的一部分 本研究将联合收割机两种不同的最优控制方法（极大值原理）结合起来 和矩方法）来解决飞行规划问题。