z-logo
open-access-imgOpen Access
Development of a Small-sized and Low-cost Attitude Measurement Unit for Agricultural Robot Application
Author(s) -
Yufei Liu,
Noboru NOGICHI,
Kazunobu Ishii
Publication year - 2018
Publication title -
tarım bilimleri dergisi
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.195
H-Index - 16
eISSN - 2148-9297
pISSN - 1300-7580
DOI - 10.15832/ankutbd.446369
Subject(s) - inertial measurement unit , gyroscope , kalman filter , accelerometer , robot , sensor fusion , drone , precision agriculture , computer science , simulation , filter (signal processing) , engineering , control theory (sociology) , artificial intelligence , computer vision , agriculture , aerospace engineering , geography , control (management) , archaeology , biology , genetics , operating system
The objective of this study was to develop a small-sized and low-cost unit to provide attitude measurements for lightloaded, small-sized and cost effective agricultural robot application. The attitude measurement unit comprised an electronic control unit (ECU) and a gyroscope and an accelerometer within a small-sized and low-cost IMU. In order to avoid the measurement limitations of a single sensor, a self-adaptive complementary filter and a Kalman filter were discussed and compared for sensor fusion. By comparison, in respect of preventing angle drift and maintaining dynamic characteristics, the Kalman filter has the significant advantage, especially in dynamic motion. In the comparison with a highly precise aviation-level fiber optic gyroscope (FOG), the results showed that the static angle drift was restrained by Kalman filter which reached the performance of the FOG. And in the series of farm experiments, the dynamic characteristic of the developed attitude measurement unit is close to the FOG performance in the sub-degree level. This is an acceptable accuracy for light-loaded, small-sized and cost effective agricultural robot application such as agriculture drone, greenhouse robots, harvesting robot arm and so on.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom