Attitude Signals Filtering Algorithm Based on Kalman and LSTM for Measurement While Drilling in Coal Mine
Pages 333 - 342
Abstract
In the drilling system of coal mine, due to the various spatial obstacles of the drilling site, the fading of communication, the strong vibration of the drilling equipment during operation, and the interference of magnetic field and temperature of different geographical locations, the accuracy of measurement results in real time is poor. After pre-processing the above problem by Kalman filtering, a back-sloping algorithm is introduced and a new one is obtained by parameter adjustment and test-and-simulation comparison. Experiments show that it is more accurate to simulate the pose problem by combining the new filtering algorithm with the above back-sloping algorithm.
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Published In
July 2023
383 pages
ISBN:9798400707575
DOI:10.1145/3614008
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Published: 17 October 2023
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SPML 2023
SPML 2023: 2023 6th International Conference on Signal Processing and Machine Learning
July 14 - 16, 2023
Tianjin, China
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