CAN Network Based Longitudinal Velocity Measurement Using Accelerometer and GPS Receiver for Automobiles

Venkatesh, K. Arun; Mathivanan, N.

doi:10.2478/msr-2013-0020

Abstract

A design of Controller Area Network (CAN) based longitudinal velocity measurement system using MEMS accelerometer and GPS receiver is presented. CAN is a serial communication protocol which efficiently supports distributed control system with high level of security. The system consists of a master node and a slave node built around LPC1768 and LPC2129 microcontrollers respectively. The master and slave nodes are linked with CAN bus. The slave node gets velocity data from GPS receiver and transfers to the master node. The master node samples the accelerometer output, and saves the sampled data and the velocity data received from the slave node on a microSD card. A LabVIEW program has been developed to study the measured parameters in offline by applying a Kalman filter and computing the estimate of longitudinal velocity. Typical measurements with the present system in a standard driving maneuvers and computation of estimate of longitudinal velocity using the LabVIEW program are presented. The measurement system produces comparable results with the conventional meter.

References

[1] Ryu, J., Rossetter, E.J., Gerdes, J.C. (2002). Vehicle sideslip and roll parameter estimation using GPS. In International Symposium on Advanced VehicleControl (AVEC), Hiroshima, Japan.
Search in Google Scholar
[2] Bevly, D.M., Gerdes, J.C., Wilson, C. (2002). The use of GPS based velocity measurements for measurement of sideslip and wheel slip. Vehicle System Dynamics, 38 (2), 127-147.
Search in Google Scholar
[3] Davidson, P., Hautamaki, J., Collin, J. (2008). Using low-cost MEMS 3D accelerometer and one gyro to assist GPS based car navigation system. In 15thInternational Conference on Integrated NavigationSystems, St. Petersburg.
Search in Google Scholar
[4] Grewal, M.S., Weill, L.R., Andrews, A.P. (2001). Global Positioning Systems, Inertial Navigation, andIntegration. John Wiley & Sons.
Search in Google Scholar
[5] Farrell, J., Barth, M. (1998). The Global PositioningSystem & Inertial Navigation. McGraw-Hill.
Search in Google Scholar
[6] Acharya, A., Sadhu, S., Ghoshal, T.K. (2011). Train localization and parting detection using data fusion. Transportation Research Part C: EmergingTechnologies, 19 (1), 75-84.10.1016/j.trc.2010.03.010
Search in Google Scholar
[7] Stein, G.J., Chmúrny, R., Rosík, V. (2011). Compact vibration measuring system for in-vehicle applications. Measurement Science Review, 11 (5), 154-159.10.2478/v10048-011-0030-1
Search in Google Scholar
[8] Johansson, K.H., Törngren, M., Nielsen, L. (2005). Vehicle applications of controller area network. In Handbook of Networked and Embedded ControlSystems. Birkhäuser Boston, 741-765.10.1007/0-8176-4404-0_32
Search in Google Scholar
[9] Tseng, H.E., Ashrafi, B., Madau, D., Allen Brown, T., Recker, D. (1999). The development of vehicle stability control at Ford. IEEE/ASME Transactions onMechatronics, 4 (3), 223-234.10.1109/3516.789681
Search in Google Scholar
[10] SiRF Technology Inc. (2005). NMEA ReferenceManual. Rev. 1.3 January 2005.
Search in Google Scholar
[11] Cyber i-Technologies Co., Ltd. (2010). GPS-634RTechnical Data Sheet. Ver. 1.4.
Search in Google Scholar
[12] NXP B.V. (founded by Philips) (2008). UM10114 -LPC21xx and LPC22xx User Manual. Rev. 03 - 2 April 2008.
Search in Google Scholar
[13] Freescale Semiconductors, Inc. (2008). ±1.5g, ±6gThree Axis Low-g Micromachined Accelerometer -Technical Data. Document Number MMA7361L, Rev 0, 04/2008.
Search in Google Scholar
[14] NXP B.V. (founded by Philips) (2010). UM10360 -LPC17xx User Manual. Rev. 2 - 19 August 2010.
Search in Google Scholar
[15] Coopmans, C., Yang Quan Chen (2008). A general purpose low-cost compact spatial-temporal data logger and its applications. In IEEE AUTOTESTCON 2008, 8-11 September 2008. IEEE, 64-68.10.1109/AUTEST.2008.4662586
Search in Google Scholar
[16] Venkatesh, K.A., Mathivanan, N. (2012). Design of MEMS accelerometer based acceleration measurement system for automobiles. Measurement Science Review, 12 (5), 189-194.10.2478/v10048-012-0029-2
Search in Google Scholar
[17] Liu, H.H.S., Pang, G.K.H. (2001). Accelerometer for mobile robot positioning. IEEE Transactions onIndustry Applications, 37 (3), 812-819.10.1109/28.924763
Search in Google Scholar
[18] Welch, G., Bishop, G. (2002). An Introduction to theKalman Filter. TR-95-041. Department of Computer Science, University of North Carolina at Chapell Hill.
Search in Google Scholar
[19] Rojas, R. (2003). The Kalman Filter. Technical Report. Freie University of Berlin.
Search in Google Scholar
[20] Davidson, P., Vazquez, M.A., Piche, R. (2009). Uninterrupted portable car navigation system using GPS, map and inertial sensors data. In 13th IEEEInternational Symposium on Consumer Electronics, Kyoto, Japan, 836-840.10.1109/ISCE.2009.5156849
Search in Google Scholar

CAN Network Based Longitudinal Velocity Measurement Using Accelerometer and GPS Receiver for Automobiles

Abstract

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