基于GBAS系统的双座电动飞机导航定位可视化仿真

为了分析双座电动飞机基于GBAS系统在空间领域环境中的运行情况，以双座电动飞机模型为基础，设计并建立了基于三维可视化仿真FlightGear平台来模拟GBAS系统的运行引导效果。通过对导航数据分析处理，仿真了可见星和运行轨道的情况。针对传统的最小二乘伪距定位方法和载波相位平滑伪距算法的定位精度、可靠性都不能满足双座电动飞机定位着陆需求的问题，采用了增强算法卡尔曼滤波平滑伪距算法，对增强算法进行了仿真。采用FlightGear与MATLAB联合仿真，可以更直观的看出GBAS导航数据对双座电动飞机的引导效果，从而验证了双座电动飞机在终端区的导航定位着陆可以通过GBAS系统结合增强算法来引导。定位的水平平均误差和垂直平均误差都减小到 1 m 以内。

Visual simulation of navigation and positioning for two seat electric aircraft based on GBAS system

In order to analyze the operation of the two seat electric aircraft based on GBAS system in the space field environment, based on a model of a dual seat electric aircraft, a flight gear platform based on 3D visualization simulation was designed and established to simulate the operation guidance effect of GBAS system. Through the analysis and processing of navigation data, the situation of visible star and orbit is simulated. Aiming at the problem that the traditional least square pseudo range positioning method and carrier phase smoothing pseudo distance algorithm could not meet the positioning and landing requirements of a certain type of two seat electric aircraft, the Kalman filter smoothing pseudo distance algorithm was proposed, and the enhancement algorithm was simulated. The navigation data of GBAS could be used to guide a type of two seat electric aircraft by combining FlightGear and MATLAB. The navigation positioning landing of a type of two seat electric aircraft can be guided by GBAS system and enhancement algorithm. The horizontal average error and vertical average error of positioning were reduced to within 1 m.