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1. 发明申请

US20050283281A1 System and method for vertical flight planning 有权
标题翻译：垂直飞行计划的系统和方法
公开(公告)号：US20050283281A1
公开(公告)日：2005-12-22
申请号：US10871668
申请日：2004-06-21
申请人： Gary Hartmann , Michael Jackson , Brian O'Laughlin , Richard Snyder , Rosa Weber
发明人： Gary Hartmann , Michael Jackson , Brian O'Laughlin , Richard Snyder , Rosa Weber
IPC分类号： G01C21/00 , G05D1/00 , G05D1/06
CPC分类号： G05D1/0607 , G01C21/00
摘要： A method for performing performance prediction with respect to a vertical flight plan. A system performs performance prediction with respect to a vertical flight plan of an aircraft that includes determining which vertical flight plan rules of a plurality of vertical flight rules that have been loaded in a predictions processor are active by monitoring for criteria that are used to initiate or terminate one or more of the vertical flight plan rules. Aircraft state is predicted at waypoints along a lateral flight path in view of active vertical flight plan rules, and the predicted aircraft state is updated within an integrated flight plan database that stores prediction performance data associated with the aircraft's flight.
摘要翻译：一种用于对垂直飞行计划进行性能预测的方法。系统对飞行器的垂直飞行计划执行性能预测，其包括通过监视用于启动的标准来确定已经加载在预测处理器中的多个垂直飞行规则的哪些垂直飞行计划规则是活动的终止一个或多个垂直飞行计划规则。考虑到主动垂直飞行计划规则，沿着侧向飞行路径的航路点预测飞行器状态，并且在集成的飞行计划数据库内更新预测的飞行器状态，该飞行器状态存储与飞行器的飞行相关联的预测演奏数据。

2. 发明申请

US20050043934A1 Intelligent database for performance predictions 有权
标题翻译：用于性能预测的智能数据库
公开(公告)号：US20050043934A1
公开(公告)日：2005-02-24
申请号：US10645705
申请日：2003-08-22
申请人： Gary Hartmann , Brian O'Laughllin , Stephen Pratt
发明人： Gary Hartmann , Brian O'Laughllin , Stephen Pratt
IPC分类号： G05D1/00 , G05D1/08 , G06F17/10
CPC分类号： G05D1/0005 , G05D1/0825
摘要： The accuracy of flight management systems, based on mathematical prediction models calculated from aircraft specific data, are improved by adding engine sensor data to the calculations, checking sensor and pilot entered data, and comparing data measured from redundant sensors. A thrust estimate, calculated from available engine sensors, is added to the thrust-minus-drag aircraft model allowing prediction parameters to be accurately calculated even in a cruise condition. Sensor data and pilot entered data used in calculating predication parameters are checked to improve accuracy. Redundant sensor data is compared to determine the level of agreement. Redundant sensor data is also compared with a valid data range to find the sensor with the most accurate data.
摘要翻译：通过将发动机传感器数据添加到计算，检查传感器和飞行员输入的数据，以及比较从冗余传感器测量的数据，可以改进飞行管理系统的基于从飞机特定数据计算的数学预测模型的准确性。从可用的发动机传感器计算的推力估计值被加到推力减阻飞机模型中，即使在巡航条件下也能准确地计算预测参数。检查用于计算预测参数的传感器数据和导频输入数据，以提高精度。冗余传感器数据进行比较以确定协议级别。还将冗余传感器数据与有效的数据范围进行比较，以找到具有最准确数据的传感器。

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