Journal of Electrical Engineering and Technology

The Korean Institute of Electrical Engineers (대한전기학회)
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Lateral Stability Control of Electric Vehicle Based On Disturbance Accommodating Kalman Filter using the Integration of Single Antenna GPS Receiver and Yaw Rate Sensor

  • Received : 2013.05.27
  • Accepted : 2013.06.07
  • Published : 2013.07.01
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Abstract

This paper presents a novel lateral stability control system for electric vehicle based on sideslip angle estimation through Kalman filter using the integration of a single antenna GPS receiver and yaw rate sensor. Using multi-rate measurements including yaw rate and course angle, time-varying parameters disappear from the measurement equation of the proposed Kalman filter. Accurate sideslip angle estimation is achieved by treating the combination of model uncertainties and external disturbances as extended states. Active front steering and direct yaw moment are integrated to manipulate sideslip angle and yaw rate of the vehicle. Instead of decoupling control design method, a new control scheme, "two-input two-output controller", is proposed. The extended states are utilized for disturbance rejection that improves the robustness of lateral stability control system. The effectiveness of the proposed methods is verified by computer simulations and experiments.

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References

  1. Y. Hori, "Future Vehicle Driven By Electricity and Control-Research on 4 Wheel Motored UOT March II," IEEE Transactions on Industrial Electronics, Vol. 51, No. 5, pp. 954-962, 2004. https://doi.org/10.1109/TIE.2004.834944
  2. R. Rajamani, Vehicle Dynamics and Control, New York: Springer-Verlag, 2005.
  3. B. C. Chen, F.C. Hsieh, "Sideslip Angle Estimation Using Extended Kalman Filter," Vehicle System Dynamics, Vol. 46, No. 1, pp. 353-364, 2008. https://doi.org/10.1080/00423110801958550
  4. D. N. Piyabongkarn, R. Rajamani, J. A. Grogg, and Jae Y. Lew, "Development and Experimental Evaluation of Slip Angle Estimator for Vehicle Stability Control," IEEE Transactions on Control Systems Technology, Vol. 17, No. 3, pp. 78-88, 2009. https://doi.org/10.1109/TCST.2008.922503
  5. L. Imsland, T. A. Johansen, T. I. Fossen, H. F. Grip, J. C. Kalkkuhl, and A. Suissa, "Vehicle Velocity Estimation Using Nonlinear Observers," Auto-matica, Vo. 42, Issue 12, pp. 2091-2103, 2006.
  6. J. Stephant, A. Charara, and D. Meizei, "Evaluation of a Sliding Model Observer for Vehicle Sideslip Angle," Control Engineering Practice, Vol. 15, No. 7, pp. 803-812, 2007. https://doi.org/10.1016/j.conengprac.2006.04.002
  7. U. Kiencke and A. DaiB, "Observation of Lateral Vehicle Dynamics," Control Engineering Practice, Vol. 5, No. 8, pp. 1145-1150, 1997. https://doi.org/10.1016/S0967-0661(97)00108-1
  8. C. Geng, L. Mostefai, M. Denai, and Y. Hori, "Direct Yaw Moment Control of an In Wheel Motored Electric Vehicle Based on Body Slip Angle Fuzzy Observer," IEEE Transactions on Industrial Electronics, Vol. 56, No. 5, pp. 1411-1419, 2009.
  9. F. Cheli, E. Sabbioni, M. Pesce, and S. Melzi, "A Methodology for Vehicle Slip Angle Identification: Comparison with Experimental Data," Vehicle System Dynamics, Vol. 45, No. 6, pp. 549-563, 2010.
  10. Y. Wang, B. M. Nguyen, P. Kotchapansompote, H. Fujimoto, and Y. Hori, "Image-Processing-Based State Estimation for Lateral Control of Electric Vehicle Using Multi-Rate Kalman Filter," Recent Patents on Signal Processing, Vol. 2, No. 2, pp. 140-148, 2012.S. https://doi.org/10.2174/2210686311202020140
  11. K. Nam, H. Fujimoto, and Y. Hori, "Lateral Stability Control of In-Wheel-Motor-Driven Electric Vehicles Based on Sideslip Angle Estimation Using Lateral Tire Force Sensors," IEEE Transactions on Vehicular Technology, Vol. 61, No. 5, pp. 1972-1985, 2012. https://doi.org/10.1109/TVT.2012.2191627
  12. D. M. Bevly, J. Ryu, and J. C. Gerdes, "Integrating INS Sensors With GPS Measurements for Continuous Estimation of Vehicle Sideslip, Roll, and Tire Cornering Stiffness," IEEE Transactions on Intelligent Transportation System, Vol. 7, No. 4, pp. 483-493, 2006. https://doi.org/10.1109/TITS.2006.883110
  13. R. Anderson and D. M. Bevly, "Using GPS with a Model-Based Estimator to Estimate Critical Vehicle States," Vehicle System Dynamics, Vo. 48, No. 12, pp. 1413-1438, 2010. https://doi.org/10.1080/00423110903461347
  14. J. H. Yoon and H. Peng, "Sideslip Angle Estimation Based on GPS and Magnetometer Measurements," Proceeding of 11th International Symposium on Advanced Vehicle Control (AVEC), Korea, 2012.
  15. C. Johnson, "Accommodation of External Disturbances in Linear Regulator and Servomechanism Problem," IEEE Transaction on Automatic Control, Vol. 16, No. 6, pp. 535-644, 1971.
  16. Y. Yamauchi and H. Fujimoto, "Vehicle Motion Control Method Using Yaw Moment Observer and Lateral Force Observer for Electric Vehicle," IEEJ Transactions on Industry Applications, Vol. 130, No. 8, pp. 939-944, 2010. https://doi.org/10.1541/ieejias.130.939
  17. H. Fujimoto and Y. Yamauchi, "Advanced Motion Control of Electric Vehicle Based on Lateral Force Observer with Active Steering," Proceeding of 2010 IEEE International Symposium on Industrial Electronics (ISIE), pp. 3627-3632, 2010.

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