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Robust attitude estimation method for underwater vehicles with external and internal magnetic noise rejection using Adaptive Indirect Kalman Filter

机译:基于自适应间接卡尔曼滤波的具有内部和外部电磁噪声抑制能力的水下航行器稳健姿态估计方法

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This paper considers the question of measuring attitude using magnetometer-equipped Inertial Measurement Units (IMUs) when in the presence of magnetic disturbance. Specifically, for use in micro-observational class underwater vehicles. Such vehicles' small size and mobility suit activities in coral reefs but often face significant magnetic interference due to high metal debris content, especially in artificial reefs. Their small size also means motor thrusters are situated closer to the magnetometers, producing additional interference. An Adaptive Indirect Kalman Filter is proposed that uses IMU and motor speed measurements to deal with two main sources of disturbances: magnetic fields from foreign objects, and from the vehicle's own motors rotating in slow speed. The method has been evaluated using a custom underwater vehicle made in HKUST, and results show that the proposed method is able to obtain accurate orientation representations even when approaching objects with strong magnetic fields or when the motors are producing interference by rotating in slow speeds.
机译:本文考虑在存在电磁干扰时使用配备磁力计的惯性测量单元(IMU)进行姿态测量的问题。具体而言,用于微型观测级水下航行器。这种车辆的体积小,机动性强,适合在珊瑚礁中活动,但由于金属碎片含量高(特别是在人工礁石中),经常会遇到明显的电磁干扰。它们的小尺寸也意味着马达推进器的位置更靠近磁力计,从而产生额外的干扰。提出了一种自适应间接卡尔曼滤波器,它使用IMU和电动机速度测量来处理两个主要的干扰源:异物产生的磁场以及车辆自身以慢速旋转的电动机产生的磁场。该方法已使用HKUST制造的定制水下航行器进行了评估,结果表明,即使在靠近强磁场的物体或电动机因低速旋转而产生干扰时,所提出的方法也能够获得准确的方向表示。

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