Skip to main content
Log in

Design of Ethernet based data acquisition system for yaw rate and longitudinal velocity measurement in automobiles

  • Research Article
  • Published:
International Journal of Automation and Computing Aims and scope Submit manuscript

Abstract

Design of an Ethernet network compatible data acquisition system for the measurement of yaw rate and longitudinal velocity in automobiles is presented. The data acquisition system includes a base node and a remote node. The remote node consists of a micro electro mechanical system (MEMS) accelerometer, an MEMS gyroscope, an advanced RISC machines (ARM) CORTEX M3 microcontroller and an Ethernet PHY device. The remote node measures the yaw rate and the longitudinal velocity of an automobile and sends the measured values to the base node using Ethernet communication. The base node consists of an ARM CORTEX M3 microcontroller and an Ethernet PHY device. The base node receives the measured values and saves in a microSD card for further analysis. The characteristics of the network and the measurement system are studied and reported.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. N. Navet, Y. Q. Song, F. Simonot-Lion, C. Wilwert. Trends in automotive communication systems. Proceedings of the IEEE, vol. 93, no. 6, pp. 1204–1223, 2005.

    Article  Google Scholar 

  2. H. Kopetz, W. Elmenreich, C. Mack. A comparison of LIN and TTP/A. In Proceedings of IEEE International Workshop on Factory Communication Systems, IEEE, Porto, USA, pp. 99–107, 2000.

    Google Scholar 

  3. F. Baronti, E. Petri, S. Saponara, L. Fanucci, R. Roncella, R. Saletti, P. D. Abramo, R. Serventi. Design and verification of hardware building blocks for high-speed and faulttolerant in-vehicle networks. IEEE Transactions on Industrial Electronics, vol. 58, no. 3, pp. 792–801, 2011.

    Article  Google Scholar 

  4. TTTech Computertechnik AG. Time-triggered Protocol TTP/C High Level Specification Document, Protocol Version 1. 1, Technical Report, TTAgroup, 2003.

    Google Scholar 

  5. W. Elmenreich, R. Ipp. Introduction to TTP/C and TTP/A. In Proceedings of the Workshop on Time-triggered and Real-time Communication Systems, pp. 1–9, 2003.

    Google Scholar 

  6. H. Kopetz, M. Holzmann, W. Elmenreich. A universal smart transducer interface: TTP/A. In Proceedings of Third IEEE International Symposium on Object-oriented Real-time Distributed Computing (ISORC 2000), IEEE, Newport, CA, USA, pp. 16–23, 2000.

    Google Scholar 

  7. H. Kopetz. A Comparison of TTP/C and FlexRay. Research Report 10/2001, Institute of Computer Engineering, Vienna University of Technology, Wein, Austria, 2001.

    Google Scholar 

  8. A. Albert. Comparison of event-triggered and timetriggered concepts with regard to distributed control systems. In Proceedings of Embedded World, Nuremberger, Germany, pp. 235–252, 2004.

    Google Scholar 

  9. A. Ademaj, H. Kopetz, P. Grillinger, K. Steinhammer. Integration of Predictable and Flexible In-Vehicle Communication Using Time-triggered Ethernet, [Online], Available: http://www. vmars. tuwien. ac. at, June 11, 2013.

    Google Scholar 

  10. L. L. Bello. The case for ethernet in automotive communications. In Proceedings of SIGBED Review, Special Issue on the 10th International Workshop on Real-time Networks (RTN 2011), ACM,New York, USA, vol. 8, no. 4, pp. 7–15, 2011.

    MathSciNet  Google Scholar 

  11. R. O. Ocaya, J. Minny. A TCP/IP framework for ethernetbased measurement, control and experiment data distribution. Journal of Instrumentation, vol. 5, 2010.

  12. R. O. Ocaya. A framework for collaborative remote experimentation for a physical laboratory using a low cost embedded web server. Journal of Network and Computer Applications, vol. 34, no. 4, pp. 1408–1415, 2011.

    Article  Google Scholar 

  13. P. Doležel, V. Vašek, D. Janácová, K. Kolomazník, M. Zálešák. Modeling and microcontroller control of raw hide soaking in tannery industry. International Journal of Mathematical Models and Methods in Applied Sciences, vol. 5, no. 7, pp. 1225–1232, 2011.

    Google Scholar 

  14. I. Ahmed, H. Wong, V. Kapila. Internet-based remote control using a microcontroller and an embedded Ethernet. In Proceedings of the American Control Conference, IEEE, Boston, MA, USA, vol. 2, pp. 1329–1334, 2004.

    Google Scholar 

  15. K. Muller, T. Steinbach, F. Korf, T. C. Schmidt. A realtime Ethernet prototype platform for automotive applications. In Proceedings of IEEE International Conference on Consumer Electronics, IEEE, Berlin, Germany, pp. 221–225, 2011.

    Google Scholar 

  16. LPY530AL MEMS motion sensor: dual axis pitch and yaw 300?/s analog gyroscope. STMicroelectronics, Doc ID 15807 Rev 2, July 2009.

  17. ADXL335: Small, Low Power, 3-Axis3 g Accelerometer. Analog Devices, Rev. A, 2009.

  18. B. V. NXP (founded by Philips). UM10360 CLPC17xx User Manual, Rev. 2C, 19 August 2010.

    Google Scholar 

  19. DP83848C PHYTER-Commercial Temperature Single Port 10/100 Mb/s Ethernet Physical Layer Transceiver, National Semiconductor, May 2008.

  20. Compex Systems. PS2208-Product Datasheet, 2006.

    Google Scholar 

  21. G. Welch, G. Bishop. An Introduction to the Kalman Filter, TR-95-041, Department of Computer Science, University of North Carolina at Chapell Hill, USA 2002.

    Google Scholar 

  22. M. Haid, J. Breitenbach. Low cost inertial orientation tracking with Kalman filter. Applied Mathematics and Computation, vol. 153, no. 2, pp. 567–575, 2004.

    Article  MathSciNet  Google Scholar 

  23. K. H. Yang, W. S. Yu, X. Q. Ji. Rotation estimation for mobile robot based on single-axis gyroscope and monocular camera. International Journal of Automation and Computing, vol. 9, no. 3, pp. 292–298, 2012.

    Article  Google Scholar 

  24. K. A. Venkatesh, N. Mathivanan. Design of MEMS accelerometer based acceleration measurement system for automobiles. Measurement Science Review, vol. 12, no. 5, pp. 189–194, 2012.

    Article  Google Scholar 

  25. K. A. Venkatesh, N. Mathivanan. CAN network based longitudinal velocity measurement using accelerometer and GPS receiver for automobiles. Measurement Science Review, vol. 13, no. 3, pp. 115–121, 2013.

    Article  Google Scholar 

  26. W. T. Higgins. A comparison of complementary and Kalman filtering. IEEE Transactions on Aerospace and Electronic Systems, vol. AES-11, no. 3, pp. 321–325, 1975.

    Article  Google Scholar 

  27. S. Colton, F. R. C. Mentor. The balance filter. Presentation, Massachusetts Institute of Technology, 2007.

    Google Scholar 

  28. SiRF Technology Inc. NMEA Reference Manual, Rev. 1. 3 January 2005.

    Google Scholar 

  29. Cyber i-Technologies Co., Ltd. GPS-634R Technical Data Sheet, Ver. 1. 4, 2010.

    Google Scholar 

  30. S. Biaz, N. H. Vaidya. Is the round-trip time correlated with the number of packets in flight? In Proceedings of IMC03, Miami Beach, Florida, USA, 2003.

    Book  Google Scholar 

  31. A. Dannenberg. SLAA137A CMSP430 Internet Connectivity. TexasInstrumentApplicationReport. Rev-A. February 2004.

    Google Scholar 

  32. S. Shon. Protocol implementations for web based control systems. International Journal of Control, Automation, and Systems, vol. 3, no. 1, pp. 122–129, 2005.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to K. Arun Venkatesh.

Additional information

Recommended by Associate Editor Kai Cheng

K. Arun Venkatesh received the B. Sc. degree in electronics and M. Sc. degree in instrumentation from the Madurai Kamaraj University, India in 2003 and 2005, respectively. Currently, he is a researcher in University Science Instrumentation Centre, Madurai Kamaraj University, India. He has published about 10 refereed journal and conference papers. His research interests include in-vehicle networks, MEMS, advanced embedded systems and virtual instrumentation.

N. Mathivanan received his B. Sc. degree in physics fromMadurai University, India in 1975, M. Sc. degree in applied physics from the University of Madras, India, in 1977, M. Tech. degree in Instrumentation Technology from Indian Institute of Science, India in 1995 and the Ph.D. degree from Madurai Kamaraj University, India, in 1998. In 1982, he was a lecturer at University Science Instrumentation Centre, Madurai Kamaraj University, India. From 1998, he is the director of University Science Instrumentation Centre, Madurai Kamaraj University, India. Currently, he is the professor & director in the University Science Instrumentation Centre. He has published about 30 refereed journal and conference papers. He has authored two textbooks. Prof. N. Mathivanan received Life-Time Achievement Award for the year 2012 from Nehru group of institutions, Coimbatore, India. His research interests include PC based instrumentation and wireless sensor networks.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Venkatesh, K.A., Mathivanan, N. Design of Ethernet based data acquisition system for yaw rate and longitudinal velocity measurement in automobiles. Int. J. Autom. Comput. 17, 883–890 (2020). https://doi.org/10.1007/s11633-016-0968-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11633-016-0968-4

Keywords

Navigation