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A Hybrid Approach to Traction Control

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Hybrid Systems: Computation and Control (HSCC 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2034))

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Abstract

In this paper we describe a hybrid model and an optimization-based control strategy for solving a traction control prob- lem currently under investigation at Ford Research Laboratories. We show through simulations on a model and a realistic set of parameters that good and robust performance is achieved. Furthermore, the result- ing optimal controller is a piecewise linear function of the measurements that can be implemented on low cost control hardware.

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References

  1. P.J. Antsaklis. A brief introduction to the theory and applications of hybrid systems. Proc. IEEE, Special Issue on Hybrid Systems: Theory and Applications, 88(7):879–886, July 2000.

    Google Scholar 

  2. R. Balakrishna and A. Ghosal. Modeling of slip for wheeled mobile robots. IEEE Trans. Robotics and automation, 11(1):349–370, February 1995.

    Article  Google Scholar 

  3. A. Balluchi, L. Benvenuti, M. Di Benedetto, C. Pinello, and A. Sangiovanni-Vincentelli. Automotive engine control and hybrid systems: Challenges and opportunities. Proc. IEEE, 88(7):888–912, 2000.

    Article  Google Scholar 

  4. M. Bauer and M. Tomizuka. Fuzzy logic traction controllers and their effect on longitudinal vehicle platoon. Vehicle System Dynamics, 25(4):277–303, April 1996.

    Article  Google Scholar 

  5. A. Bellini, A. Bemporad, E. Franchi, N. Manaresi, R. Rovatti, and G. Torrini. Analog fuzzy implementation of a vehicle traction sliding-mode control. In Proc. ISATA 29th International Symposium on Automotive Technology and Automation. Automotive Autom, Croydon, UK, pages 275–282, 1996.

    Google Scholar 

  6. A. Bemporad, F. Borrelli, and M. Morari. Piecewise linear optimal controllers for hybrid systems. In Proc. American Control Conf., Chicago, IL, 2000.

    Google Scholar 

  7. A. Bemporad, D. Mignone, and M. Morari. Moving horizon estimation for hybrid systems and fault detection. In Proc. American Control Conf., 1999.

    Google Scholar 

  8. A. Bemporad and M. Morari. Control of systems integrating logic, dynamics, and constraints. Automatica, 35(3):407–427, March 1999.

    Article  MATH  MathSciNet  Google Scholar 

  9. A. Bemporad and M. Morari. Verification of hybrid systems via mathematical programming. In F.W. Vaandrager and J.H. van Schuppen, editors, Hybrid Systems: Computation and Control, volume 1569 of Lecture Notes in Computer Science, pages 31–45. Springer Verlag, 1999.

    Chapter  Google Scholar 

  10. M.S. Branicky. Studies in hybrid systems: modeling, analysis, and control. PhD thesis, LIDS-TH 2304, Massachusetts Institute of Technology, Cambridge, MA, 1995.

    Google Scholar 

  11. V. Dua and E. N. Pistikopoulos. An algorithm for the solution of multiparametric mixed integer linear programming problems. Annals of Operations Research, to appear.

    Google Scholar 

  12. W.P.M.H. Heemels, B. De Schutter, and A. Bemporad. Equivalence of hybrid dynamical models. Automatica, to appear.

    Google Scholar 

  13. D. Hrovat. Automotive mechatronic systems. In Cornelius T. Leondes, editor, Mechatronic Systems Techniques and Applications: Volume 2-Transportation and Vehicular Systems. Gordon and Breach Science Publishers, 2000.

    Google Scholar 

  14. P. Kachroo and M. Tomizuka. An adaptive sliding mode vehicle traction controller design. In Proc. IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century, volume 1, pages 777–782, 1995.

    Google Scholar 

  15. G. Labinaz, M.M. Bayoumi, and K. Rudie. A survey of modeling and control of hybrid systems. In 13th IFAC World Congress 1996, 1996.

    Google Scholar 

  16. J. Lygeros, C. Tomlin, and S. Sastry. Controllers for reachability specifications for hybrid systems. Automatica, 35(3):349–370, 1999.

    Article  MATH  MathSciNet  Google Scholar 

  17. G. F. Mauer. A fuzzy logic controller for an ABS braking system. IEEE Transaction on Fuzzy Systems, November 1995.

    Google Scholar 

  18. H. S. Tan. Adaptive and Robust Controls with Application to Vehicle Traction Control. PhD thesis, Univ. of California, Berkeley, 1988.

    Google Scholar 

  19. H. S. Tan and M. Tomizuka. Discrete time controller design for robust vehicle traction. IEEE Control System Magazine, 10(3):107–113, April 1990.

    Article  Google Scholar 

  20. H.S. Tan and M. Tomizuka. An adaptive sliding mode vehicle traction controller design. In Proc. American Control Conf., volume 2, pages 1856–1861, 1990.

    Google Scholar 

  21. F.D. Torrisi, A. Bemporad, and D. Mignone. HYSDEL-A language for describing hybrid systems. Technical Report AUT00-03, ETH Zurich, 2000. http://control.ethz.ch/~hybrid/hysdel.

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© 2001 Springer-Verlag Berlin Heidelberg

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Borrelli, F., Bemporad, A., Fodor, M., Hrovat, D. (2001). A Hybrid Approach to Traction Control. In: Di Benedetto, M.D., Sangiovanni-Vincentelli, A. (eds) Hybrid Systems: Computation and Control. HSCC 2001. Lecture Notes in Computer Science, vol 2034. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45351-2_16

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  • DOI: https://doi.org/10.1007/3-540-45351-2_16

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41866-5

  • Online ISBN: 978-3-540-45351-2

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