原文传递 Evaluation of Unmanned Aircraft Flying Qualities Using JSBSim.
题名: Evaluation of Unmanned Aircraft Flying Qualities Using JSBSim.
作者: Kim, J. P.
关键词: Flying qualities, Unmanned aircraft, Design stages
摘要: Flying qualities data can be used to predict the future performance of aircraft during the early design stages of the system when the changes can be made easily and inexpensively; however, no flying qualities requirements exist for Unmanned Aerial Vehicles (UAVs). The intent of UAV flying qualities requirements is to guarantee the safety and operational effectiveness of the aircraft as do the flying qualities of piloted aircraft. Flying qualities requirements have been extensively researched and specifi#12;ed for #12;fixed-wing and rotary-wing manned aircraft based on a substantial database of assessments. The critical issue today in flying qualities is how to extend them to pilotless aircraft. It is the goal of this thesis to provide data on the flying qualities assessments of UAVs in order to propel the development of a UAV flying qualities standard. A simulation study using an open-source ight dynamics model (JSBSim) was conducted to perform various performance maneuvers and evaluate how well the aircraft followed the desired maneuver. Criteria from MIL-STD-1797 were used to evaluate the flying quality characteristics and compared to the simulation results. It was found that the application of manned criteria to autonomous UAVs did not provide an accurate depiction of its flying qualities. Instead the requirements should be focused on the closed-loop task evaluation and the limitations of the flight control system. By synthesizing proven #12;fixed-wing and rotary-wing standards with updated unmanned criteria applicable to modern autonomous unmanned aircraft design, the maximum performance of these systems can be achieved. The need for further research and accumulation of UAV flying qualities assessments will be necessary to bring about a successful ying qualities standard for unmanned aircraft.
报告类型: 科技报告
检索历史
应用推荐