Detection of the Trench Depth Based on a Differential Inertial Sensor Technology

被引:2
作者
Wang Xin [1 ]
Peng Bingzhong [1 ]
Miedzinski, Bogdan [2 ]
Hu Baoyan [1 ]
Xu Miao [1 ]
机构
[1] China Agr Univ, Coll Engn, Beijing Key Lab Optimized Design Modern Agr Equip, East Campus, Beijing, Peoples R China
[2] Inst Innovat Technol EMAG, Leopolda 31, PL-40189 Katowice, Poland
关键词
Inertial sensor; Trench depth detection; Filtering; Remote monitoring; PLATFORM;
D O I
10.5755/j01.eie.24.3.20973
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The article proposes the use of a differential inertial sensors system for detection of the trench depth under operation. The inertial sensors are employed to detect a posture of the trencher and as a result to determine an angle difference through inertial sensors located on a vehicle (as a reference) and on the trencher arm. In this way, the undesirable, disturbing effects caused by unevenness of the field etc. are significantly reduced or even eliminated. The trench depth calculation procedure combines the angle difference and relative dimensions of the trencher structure. It is displayed on a monitor in real time. To perform a remote monitoring, the system is equipped with wireless transmission module using an upper-computer. To decrease data oscillation under operation, the calculated angles need to be filtered. Therefore, simulation based on Kalman filter in MATLAB was performed and found Q/R rate takes an important role in filtering and filtering test verified it. In field test, error rate between trench depth measured and detected is within 5 % what confirms the practical usefulness of the developed measuring system for the trench depth detection.
引用
收藏
页码:8 / 14
页数:7
相关论文
共 22 条
  • [1] Development of an automotive data acquisition platform for analysis of driving behavior
    Andria, G.
    Attivissimo, F.
    Di Nisio, A.
    Lanzolla, A. M. L.
    Pellegrino, A.
    [J]. MEASUREMENT, 2016, 93 : 278 - 287
  • [2] Kalman Filter for Hybrid Tracking Technique in Augmented Reality
    Artemciukas, Edgaras
    Sakalauskas, Leonidas
    Zulkas, Evaldas
    [J]. ELEKTRONIKA IR ELEKTROTECHNIKA, 2016, 22 (06) : 73 - 79
  • [3] Ayiding K., 2013, J AGR MECH RES, V3, P160, DOI [10.13427/j.cnki.njyi.2013.03.043, DOI 10.13427/J.CNKI.NJYI.2013.03.043]
  • [4] Model-based generation of low distortion currents in grid-coupled PWM-inverters using an LCL output filter
    Bolsens, B
    De Brabandere, K
    Van den Keybus, J
    Driesen, J
    Belmans, R
    [J]. PESC 04: 2004 IEEE 35TH ANNUAL POWER ELECTRONICS SPECIALISTS CONFERENCE, VOLS 1-6, CONFERENCE PROCEEDINGS, 2004, : 4616 - 4622
  • [5] A comparative study and review of different Kalman filters by applying an enhanced validation method
    Campestrini, Christian
    Heil, Thomas
    Kosch, Stephan
    Jossen, Andreas
    [J]. JOURNAL OF ENERGY STORAGE, 2016, 8 : 142 - 159
  • [6] Bottom-up estimation of joint moments during manual lifting using orientation sensors instead of position sensors
    Faber, Gert S.
    Kingma, Idsart
    van Dieen, Jaap H.
    [J]. JOURNAL OF BIOMECHANICS, 2010, 43 (07) : 1432 - 1436
  • [7] Florian T., 2012, IFAC P VOLUMES, V45, P109, DOI [10.3182/20120523-3-CZ-3015.00023, DOI 10.3182/20120523-3-CZ-3015.00023]
  • [8] Gao L., 2013, J AGR MECH RES, V5, P159, DOI [10.13427/j.cnki.njyi.2013.05.034, DOI 10.13427/J.CNKI.NJYI.2013.05.034]
  • [9] He J. H., 2016, J AGR MECH RES, P119
  • [10] Huang J. Y., 2017, INFORM TECHNOLOGY, P59