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SoC loosely Coupled Navigation Algorithm Evaluation via 6-DOF Flight Simulation Model of Guided Bomb

机译:基于制导炸弹6自由度飞行仿真模型的SoC松耦合导航算法评估

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Accurate positioning is required to achieve accurate navigation solution of moving objects therefore, inertial navigation system (INS) and global positioning system (GPS) are combined together to give a good solution in solving positioning problem and overcoming the problem of using each system separately. The motivation behind this work in this paper is to model and evaluate an INS/GPS integration algorithm model within 6-DOF flight simulation model by using loosely coupled integration technique and extended kalman filter (EKF) Algorithms to enhance and solve the position and attitude angles problems. Then, it is implemented on embedded microcontroller system (TM4C123GH6PM ARM Cortex-M4) using low-cost commercial sensors (MPU-6050 and GPS). Finally, the Navigation model is evaluated within 6-DOF simulation model using Processor-in-Loop (PIL) method. The system can realize comparable navigation accuracy with other high performance navigation system.
机译:为了实现对运动物体的精确导航解决方案,需要精确定位,因此,惯性导航系统(INS)和全球定位系统(GPS)结合在一起,可以为解决定位问题和克服单独使用每个系统的问题提供良好的解决方案。本文工作的目的是通过使用松耦合技术和扩展卡尔曼滤波(EKF)算法来增强和求解位置和姿态角,在6自由度飞行仿真模型中对INS / GPS集成算法模型进行建模和评估。问题。然后,它使用低成本的商用传感器(MPU-6050和GPS)在嵌入式微控制器系统(TM4C123GH6PM ARM Cortex-M4)上实现。最后,使用“处理器在环”(PIL)方法在6-DOF仿真模型中评估导航模型。该系统可以实现与其他高性能导航系统相当的导航精度。

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