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中文摘要: 针对某型惯性测量单元高精度惯性参数输出需求,提出并实现了一种基于卡尔曼滤波的系统级标定算法。首先,在建立标定坐标系的基础上,分析了系统级标定误差模型,并对双轴转台标定方案设计及算法实现进行了论述。其次,进行了系统级标定全温试验并对标定结果进行了分析,最终在完成标定补偿的基础上进行了标定参数一致性验证和导航性能验证。试验结果表明,与传统标定方案相比,该系统级标定方案不受减振垫影响,无需北向基准,实现简单方便,可一次标定出惯性测量单元主要误差参数,重复性高、参数一致性好,具有良好的工程应用价值。
Abstract:In view of the inertial parameter output requirements of a certain type of inertial measurement unit, this paper proposes and implements a system-level calibration algorithm based on the Kalman filter. On the basis of establishing the calibration coordinate system, the system-level calibration error model is introduced in detail, and the design and algorithm implementation of the double-axis rotary table calibration scheme are discussed in detail. Then the system-level calibration full-temperature experiment is carried out and the calibration results are analyzed. Finally, based on the calibration compensation, the parameter consistency verification and the navigation performance verification are carried out. Experimental results show that compared with the traditional calibration scheme, the system-level calibration scheme is not affected by the vibration-reducing pad, and no need for the northbound benchmark. It is simple and convenient to clip. The main error parameters of the inertial measurement unit can be calibrated at one time, and it has high repeat-ability, good parameter consistency and extremely high engineering application value.
文章编号:20240310 中图分类号:U666.1 文献标志码:
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引用文本:
贾勇,刘生攀,杨银川,周普莉,杜晶晶.某型惯组系统级标定算法研究与应用[J].飞控与探测,2024,(3):78-85.
贾勇,刘生攀,杨银川,周普莉,杜晶晶.某型惯组系统级标定算法研究与应用[J].飞控与探测,2024,(3):78-85.

