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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:使用自适应间接Kalman滤波器外部和内部磁噪声抑制水下车辆的鲁棒姿态估计方法

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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:本文考虑使用磁力计的惯性测量单元(IMU)在存在磁扰动时测量姿态的问题。具体地,用于微观观察级水下车辆。这种车辆的小尺寸和移动衣服在珊瑚礁中的活动,但由于高金属碎片含量,特别是在人造礁中,通常面临显着的磁干扰。它们的体积小也意味着电机推动器位于磁力计上更靠近的,产生额外的干扰。提出了一种自适应间接卡尔曼滤波器,其使用IMU和电机速度测量来处理两个主要的干扰源:来自异物的磁场,以及车辆的自身电机以慢速旋转。已经使用在HKust中制造的定制水下车辆评估该方法,结果表明,即使在接近具有强磁场的物体或通过以慢速旋转而产生干扰时,所提出的方法也能够获得精确的方向表示。

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