以New Holland T1554为平台,采用RTK-GNSS技术,设计了一种农机自动导航控制系统。系统包括基准站、接收机、无线电台、工控机、触摸屏、切换方向盘、电控比例液压阀和角度传感器。简述了系统各个模块的功能、安装位置和原农机油路的改...以New Holland T1554为平台,采用RTK-GNSS技术,设计了一种农机自动导航控制系统。系统包括基准站、接收机、无线电台、工控机、触摸屏、切换方向盘、电控比例液压阀和角度传感器。简述了系统各个模块的功能、安装位置和原农机油路的改造方法。样机的试验结果表明:直线和曲线行驶时,最大跟踪误差分别为0.16m和0.32m。展开更多
The autonomous "celestial navigation scheme" for deep space probe departing from the earth and the autonomous "optical navigation scheme" for encountering object celestial body are presented. Then,...The autonomous "celestial navigation scheme" for deep space probe departing from the earth and the autonomous "optical navigation scheme" for encountering object celestial body are presented. Then, aiming at the conditions that large initial estimation errors and non-Gaussian distribution of state or measurement errors may exist in orbit determination process of the two phases, UPF (unscented particle filter) is introduced into the navigation schemes. By tackling nonlinear and non-Gaussian problems, UPF overcomes the accuracy influence brought by the traditional EKF (extended Kalman filter), UKF (unscented Kalman filter), and PF (particle filter) schemes in approximate treatment to nonlinear and non-Gaussian state model and measurement model. The numerical simulations demonstrate the feasibility and higher accuracy of the UPF navigation scheme.展开更多
文摘以New Holland T1554为平台,采用RTK-GNSS技术,设计了一种农机自动导航控制系统。系统包括基准站、接收机、无线电台、工控机、触摸屏、切换方向盘、电控比例液压阀和角度传感器。简述了系统各个模块的功能、安装位置和原农机油路的改造方法。样机的试验结果表明:直线和曲线行驶时,最大跟踪误差分别为0.16m和0.32m。
基金the National "863" High Technology Development Project of China (2005AA735080).
文摘The autonomous "celestial navigation scheme" for deep space probe departing from the earth and the autonomous "optical navigation scheme" for encountering object celestial body are presented. Then, aiming at the conditions that large initial estimation errors and non-Gaussian distribution of state or measurement errors may exist in orbit determination process of the two phases, UPF (unscented particle filter) is introduced into the navigation schemes. By tackling nonlinear and non-Gaussian problems, UPF overcomes the accuracy influence brought by the traditional EKF (extended Kalman filter), UKF (unscented Kalman filter), and PF (particle filter) schemes in approximate treatment to nonlinear and non-Gaussian state model and measurement model. The numerical simulations demonstrate the feasibility and higher accuracy of the UPF navigation scheme.
