Browse > Article
http://dx.doi.org/10.7746/jkros.2013.8.1.029

Sensitivity Optimization of MEMS Gyroscope for Magnet-gyro Guidance System  

Lee, Inseong (Department of Electrical Engineering, Pusan University)
Kim, Jaeyong (Department of Electrical Engineering, Pusan University)
Jung, Eunkook (Department of Electrical Engineering, Pusan University)
Jung, Kyunghoon (Department of Electrical Engineering, Pusan University)
Kim, Jungmin (Department of Electrical Engineering, Pusan University)
Kim, Sungshin (Department of Electrical Engineering, Pusan University)
Publication Information
The Journal of Korea Robotics Society / v.8, no.1, 2013 , pp. 29-36 More about this Journal
Abstract
This paper presents a sensitivity optimization of a MEMS (microelectromechanical systems) gyroscope for a magnet-gyro system. The magnet-gyro system, which is a guidance system for a AGV (automatic or automated guided vehicle), uses a magnet positioning system and a yaw gyroscope. The magnet positioning system measures magnetism of a cylindrical magnet embedded on the floor, and AGV is guided by the motion direction angle calculated with the measured magnetism. If the magnet positioning system does not measure the magnetism, the AGV is guided by using angular velocity measured with the gyroscope. The gyroscope used for the magnet-gyro system is usually MEMS type. Because the MEMS gyroscope is made from the process technology in semiconductor device fabrication, it has small size, low-power and low price. However, the MEMS gyroscope has drift phenomenon caused by noise and calculation error. Precision ADC (analog to digital converter) and accurate sensitivity are needed to minimize the drift phenomenon. Therefore, this paper proposes the method of the sensitivity optimization of the MEMS gyroscope using DEAS (dynamic encoding algorithm for searches). For experiment, we used the AGV mounted with a laser navigation system which is able to measure accurate position of the AGV and compared result by the sensitivity value calculated by the proposed method with result by the sensitivity in specification of the MEMS gyroscope. In experimental results, we verified that the sensitivity value through the proposed method can calculate more accurate motion direction angle of the AGV.
Keywords
gyroscope; sensitivity; magnet-gyro; guidance system; automated guided vehicle;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
연도 인용수 순위
1 M.P. Groover, "Automation, Production Systems and Computer-Integrated Manufacturing", sigma press, 2002.
2 J.C. Do, J.M. Kim, K.H. Jung, S.B. Woo, S.S. Kim, "Path Planning for AGVs with Path Tracking", Journal of Korea Robotic Society, Vol. 5, No. 4, pp. 332-338, 2010.   과학기술학회마을
3 J. Borenstein, "The OmniMate: A Guide wire-and Beacon-free AGV for highly Reconfigurable Applications", International Journal of Production Research, vol. 38, no. 9, pp. 1993-2010, 2000.   DOI   ScienceOn
4 C.Y. Chan, "A System Review of Magnetic Sensing System for Ground Vehicle Control and Guidance", California PATH Research Report, UCB-ITS-PRR-2002-20, 2002.
5 J.J Park, J.M. Kim, J.C. Do, S.S. Kim, S.I. Bae, "Path Tracking for AGV using Laser guidance system", Journal of Korea Robotic Society, Vol. 5, No. 2, pp. 120-126, 2010.   과학기술학회마을
6 J.M. Kim, J.J. Park, T.R. Jeon, S.S. Kim, "Fuzzy and Proportional Controls for Driving Control of Forklift AGV", Journal of Korean Institute of Intelligent System, Vol. 19, No. 5, pp. 699-705, 2009.   과학기술학회마을   DOI   ScienceOn
7 H.H. Cho, J.M. Kim, J.C. Do, S.S. Kim, "Improvement of Positioning Accuracy of Laser Navigation System using Particle Filter", Journal of Korean Institute of Intelligent System, Vol. 21, No. 5, pp. 755-760, 2011.   과학기술학회마을   DOI   ScienceOn
8 Y. Pang, "Bipolar magnetic positioning system for automated guided vehicles", Intelligent Vehicles Symposium 2008 IEEE, pp. 883-888, 2008.
9 J.M. Kim, K,H. Jung, E.K. Jung, H.H Cho, S.S. Kim, "Positioning Accuracy Improvement of Analog-type Magnetic Positioning System using Fuzzy Inference System", Journal of Korean Institute of Intelligent Systems,, Vol. 22, No. 3, pp. 367-372, 2012.   과학기술학회마을   DOI   ScienceOn
10 J.W. Kim and S.W. Kim, "Parameter identification of induction motors using dynamic encoding algorithm for searches", IEEE Trans. Energy Conversion, vol. 20, no. 1, pp. 16-24, 2005.   DOI   ScienceOn
11 J.W. Kim and S.W. Kim, "Numerical method for global optimization: dynamic encoding algorithm for searches", IEE Proc.-Control Theory Appl., vol. 151, no. 5, pp. 661-668, 2004.   DOI   ScienceOn