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Flight Test Results of a MEMS IMU Based Transfer Alignment Algorithm for Short Range Air-to-Air Missiles

机译:基于MEMS IMU的短程空空导弹传递对准算法的飞行测试结果

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Modern fifth generation air-to-air missiles require an accurate low cost navigation solution. To this end a rapid transfer alignment algorithm was developed that accurately initializes the missile navigation system before launch and calibrates inertial sensor biases. As part of the missile air-to-air mission no special maneuvers during carriage flight are allowed, mandating a transfer alignment algorithm that requires no special maneuvers to estimate misalignment angles and calibrate the low cost SiIMU02~® MEMS (micro-electromechanical sensors) IMU (Inertial Measurement Unit). Transfer alignment accuracy was tested using computer simulations, land vehicle trials and aircraft flight trials. The design is based upon a master/slave position, velocity, attitude and body rate matching alignment implemented by a 24-state, 12-measurement Kalman filter with filter update rates varying from 7.5 Hz to 60 Hz.
机译:现代的第五代空空导弹需要精确的低成本导航解决方案。为此,开发了一种快速转移对准算法,该算法可在发射之前准确地初始化导弹导航系统并校准惯性传感器偏置。作为导弹空对空任务的一部分,不允许在飞行过程中进行任何特殊的操纵,要求一种转移对准算法,该算法不需要特殊的操纵即可估算失准角并校准低成本的SiIMU02〜®MEMS(微机电传感器)IMU (惯性测量单位)。使用计算机模拟,陆地车辆试验和飞机飞行试验测试了传递对准精度。该设计基于主/从位置,速度,姿态和身体速率匹配对齐方式,该对齐方式由24状态,12测量的卡尔曼滤波器实现,滤波器更新速率从7.5 Hz到60 Hz不等。

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