@inproceedings{f6965e1cb5274e9587ea916bdc446540,
title = "A new drone accelerometer calibration method",
abstract = "Most small drone accelerometer calibration methods are relatively simple, but their accuracy is not high. In order to improve the accuracy of calibration without increasing the difficulty of operation, a calibration method based on smooth filtering and Levenberg-Marquardt algorithm is proposed. Firstly, the accelerometer error model is established. Then the smoothing filter is used to filter the accelerometer measurement data in different attitudes. Finally, the Levenberg-Marquardt algorithm is used to solve the zero offset of the accelerometer, the scale factor and the tri-axial non-orthogonal error. Experimental results show that the algorithm can quickly calibrate the accelerometer and improve the measurement accuracy of the accelerometer. It is suitable for application in the drone system.",
keywords = "Accelerometer, Calibration Accuracy, Levenberg-Marquardt Algorithm, Smooth Filtering",
author = "Yuan Zhong and Yong Xu and Naixin He and Xiang Yu",
note = "Publisher Copyright: {\textcopyright} 2018 Technical Committee on Control Theory, Chinese Association of Automation.; 37th Chinese Control Conference, CCC 2018 ; Conference date: 25-07-2018 Through 27-07-2018",
year = "2018",
month = oct,
day = "5",
doi = "10.23919/ChiCC.2018.8482568",
language = "English",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "9928--9933",
editor = "Xin Chen and Qianchuan Zhao",
booktitle = "Proceedings of the 37th Chinese Control Conference, CCC 2018",
address = "United States",
}