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IMU Self-Alignment with Kalman Filter by kvantum.br is a document available to read on EtoBox.
This paper presents a method for the initial attitude determination of space vehicles using Inertial Measurement Unit (IMU) outputs, geographical information, and a Kalman filter for self-alignment on a static platform. It describes a two-part approach consisting of coarse alignment for initial estimation and fine alignment for error correction, emphasizing the impact of sensor biases and noise on accuracy. The proposed method aims to improve navigation accuracy during space vehicle launches by refining the
- Author
- kvantum.br
- Language
- EN