Flight Management System for a UAV Based on Optimal Control

无人驾驶飞行器(UAV)在我们的世界中变得无处不在。在一个阶段，美国是 2015年向无人机开放空域加拿大和世界其他地区将迎来新的产业机遇 有着巨大的潜力，可以带来数十亿美元的收入。挑战是前所未有的。没有可靠、稳定的 和高性能的飞行管理系统(FMS)，我们根本不可能成功。这个 本研究针对公司的具体问题，为无人机设计了一种先进的FMS算法，可以为无人机节省 在满足无人机任务预期目标的同时实现能源消耗。这项工作将在合作中完成 与拥有飞行模拟器的Marinvent公司合作，这项工作将在那里进行测试。的创新部分 本研究将结合现有的两种不同的最优控制方法(最大值原理 和矩方法)来解决飞行计划问题。

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.