Application of Multi-order Complementary Filtering Technique in Dynamic Attitude Measurement of Forestry Special Robots

DOI

10.2991/eia-17.2017.14How to use a DOI?

Keywords

forestry special robots; multi-order complementary filtering; integral drift; attitude solving

Abstract

The wide application foreground of forestry special robots makes it become the hotspot of current research. The attitude angle measurement [1] of the special crawler-type robot is one of the key problems. Based on the complementary filtering algorithm, the attitude and angle measuring circuit and data processing algorithm of the special crawler robot are designed. The signal filtering and preprocessing are used to combine the two sensor data. The calculation method of the key parameters in the complementary filtering algorithm is analyzed. The method is applied to the angle measurement of the special crawler robot, and the verification test is carried out. And the experiment result shows that this experiment method is applicable to forestry robots.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Bin LIU
AU  - Yan REN
AU  - Xufang DENG
PY  - 2017/07
DA  - 2017/07
TI  - Application of Multi-order Complementary Filtering Technique in Dynamic Attitude Measurement of Forestry Special Robots
BT  - Proceedings of the 2017 International Conference on Electronic Industry and Automation (EIA 2017)
PB  - Atlantis Press
SP  - 64
EP  - 67
SN  - 1951-6851
UR  - https://doi.org/10.2991/eia-17.2017.14
DO  - 10.2991/eia-17.2017.14
ID  - LIU2017/07
ER  -