Attitude determination by integration of MEMS inertial sensors and GPS for autonomous agriculture applications

GPS Solutions - Tập 16 - Trang 41-52 - 2011
Yong Li1, Mahmoud Efatmaneshnik1, Andrew G. Dempster1
1School of Surveying & Spatial Information Systems, University of New South Wales, Sydney, Australia

Tóm tắt

Integration of Global Positioning System (GPS) and Inertial Navigation System (INS) technologies, which has widespread usage in industry, is also regarded as an ideal solution for automated agriculture because it fulfils the accuracy, reliability and availability requirements of industrial and agricultural applications. Agriculture applications use position, velocity and heading information for automated vehicle guidance and control to enhance the yield and quality of the crop, and in order to vary the application of fertilizer and herbicides according to soil heterogeneity at sub-field level. A loosely coupled GPS/INS integration algorithm known as “AhrsKf” is introduced for automated agriculture vehicle guidance and control utilizing MEMS inertial sensors and GPS. The AhrsKf can produce high-frequency attitude solutions for the vehicle’s guidance and control system, by using inputs from a single survey grade L1/L2 antenna, eliminating the need for the previous two antenna solutions. Given its agricultural application, the AhrsKf has been implemented with some specific design features to improve the accuracy of the attitude solution including, temperature compensation of the inertial sensors, and the aid of plough lines of farm lands. To evaluate the AhrsKf solution, two benchmarking tests have been conducted by using a three-antenna GPS system and NovAtel’s SPAN-CPT. The results have demonstrated that the AhrsKf solution is stable and can correctly track the movement of the farming vehicle.

Tài liệu tham khảo

Bar-Itzhack IY (1977) Navigation computation in terrestrial strapdown inertial navigation system. IEEE Trans on AES 13(6):679–689 Bekkeng JK (2009) Calibration of a novel MEMS inertial reference unit. IEEE Trans Instrum Measure 58(6):1967–1974 Cohen CE (1996) Attitude determination. Global positioning system, theory and applications, vol. II. In: Parkinson BW, Spilker JJ (eds) Progress in astronautics and aeronautics, vol. 164, AIAA, Washington DC, pp 519–538 Cole A (2008) Integrating external position information with GPS using existing GPS processing software for precision agriculture applications. In: Proceedings of ION GNSS 2008, Savannah, Georgia, September 16–19, pp 2156–2164 Cole A, Wang J, Dempster AG, Rizos C (2009) VirtuaLites: concepts and numerical test results. J Appl Geodesy 3(4):213–221 Farrell J, Barth M (1998) The global positioning system and inertial navigation. McGraw-Hill, Chap. 6.4, pp 187–242 Fourati H, Manamanni N, Afilal L, Handrich Y (2009) Rigid body motions estimation using inertial sensors: bio-logging application. In: 7th IFAC symposium on modelling and control in biomedical systems (including biological systems), Alborg, Denmark, August 12–14 Geng Y, Cole A, Dempster AG, Rizos C, Wang J (2007) Developing a low-cost MEMS IMU/DGPS integrated system for robust machine automation. In: Proceedings of ION-GNSS 2007, Fort Worth, Texas, September 25–28, pp 1618–1624 Godha S, Cannon ME (2007) GPS/MEMS INS integrated system for navigation in urban areas. GPS Solutions 11(3):193–203 Griepentrog HW, Nørremark M, Nielsen J (2006) Autonomous intra-row rotor weeding based on GPS. In: Proceedings of CIGR world congress agricultural engineering for a better world, Bonn, Germany, September 3–7, CD ROM proceedings Kellar W, Roberts P, Zelzer O (2008) A self calibrating attitude determination system for precision farming using multiple low-cost complementary sensors In: 1st International conference on machine control & guidance, Zurich, Switzerland, June 24–26 Li Y, Murata M, Sun B (2002) New approach to attitude determination using global positioning system carrier phase measurements. J Guid Control Dyn 25(1):130–136 Li Y, Dempster AG, Li B, Wang J, Rizos C (2006) A low-cost attitude heading reference system by combination of GPS and magnetometers and MEMS inertial sensors for mobile applications. J Global Position Syst 5(1–2):88–95 Li Y, Dusha D, Kellar W, Dempster AG (2009a) Calibrated MEMS inertial sensors with GPS for a precise attitude heading reference system on autonomous farming tractors. In: Proceedings of ION-GNSS2009, Savannah, Georgia, September 22–25, pp 2138–2145 Li Y, Efatmaneshnik M, Cole A, Dempster AG (2009b) Performance evaluation of AHRS Kalman Filter for MojoRTK System. In: Proceedings of IGNSS symposium 2009, international global navigation satellite systems society, Surfers Paradise, Australia, December 1–3, CD-ROM procs Reid JF, Zhang Q, Noguchi N, Dickson M (2000) Agricultural automatic guidance research in North America. Comput Electron Agric 25(1–2):155167 Retscher G (2007) Test and integration of location sensors for a multi-sensor personal navigator. J Navigation 60(1):107–117 Rios JA, White E (2001) Fusion filter algorithm enhancements for a MEMS GPS/IMU. In: Proceedings of ION-GNSS 2001, Salt Lake City, Utah, September 11–14, pp 1382–1393 Rizos C, Han S (2003) Reference station network based RTK systems—concepts & progress, Wuhan University. J Nature Sci 8(2B):566–574 Roberts JM, Corke PI, Buskey G (2002) Low-cost flight control system for a small autonomous helicopter. In: Proceedings of 2002 Australian conference on robotics and automation, Auckland, New Zealand, November 27–29, pp 71–76 Sheh RK, Milstein AH, McGill M, Salleh R, Hengst B, Sammut C (2009) Semi-autonomous Robots for RoboCupRescue. In: Proceedings of 2009 Australasian conference on robotics and automation (ACRA), Sydney, Australia, December 2–4 Stafford JV (2000) Implementing precision agriculture in the 21st century. J Agric Eng Res 76:267–270 Supej M (2010) 3D measurements of alpine skiing with an inertial sensor motion capture suit and GNSS RTK system. J Sports Sci 28(7):759–769 Tillett ND (1991) Automatic guidance sensors for agricultural field machines: a review. J Agric Eng Res 50(33):167–187 Wu Y, Wang T, Liang J, Wang C, Zhang C (2008) Attitude determination for small helicopter using extended kalman filter. IEEE Xplore 2008:577–581