Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2015, Article ID 301656, 11 pages
http://dx.doi.org/10.1155/2015/301656
Research Article

Extended State Observer Based Adaptive Back-Stepping Sliding Mode Control of Electronic Throttle in Transportation Cyber-Physical Systems

College of Automation, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Received 26 November 2014; Revised 11 January 2015; Accepted 27 January 2015

Academic Editor: Xinggang Yan

Copyright © 2015 Yongfu Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. V. Milanes, S. E. Shladover, J. Spring, C. Nowakowski, H. Kawazoe, and M. Nakamura, “Cooperative adaptive cruise control in real traffic situations,” IEEE Transactions on Intelligent Transportation Systems, vol. 15, no. 1, pp. 296–305, 2014. View at Publisher · View at Google Scholar · View at Scopus
  2. D.-H. Sun, Y.-F. Li, W.-N. Liu, M. Zhao, and X.-Y. Liao, “Research summary on transportation cyber physical systems and the challenging technologies,” China Journal of Highway and Transport, vol. 26, no. 1, pp. 144–154, 2013. View at Google Scholar · View at Scopus
  3. L. Li, D. Wen, and D. Yao, “A survey of traffic control with vehicular communications,” IEEE Transactions on Intelligent Transportation Systems, vol. 15, no. 1, pp. 425–432, 2014. View at Publisher · View at Google Scholar
  4. Y. F. Hu, C. Li, J. Li, H. Y. Guo, P. Y. Sun, and H. Chen, “Observer-based output feedback control of electronic throttles,” Acta Automatica Sinica, vol. 37, no. 6, pp. 746–754, 2011. View at Google Scholar · View at MathSciNet
  5. P. Ioannou and Z. Xu, “Throttle and brake control system for automatic vehicle following,” Journal of Intelligent Transportation Systems, vol. 1, no. 4, pp. 345–377, 1994. View at Google Scholar
  6. Y. Li and D. Sun, “Microscopic car-following model for the traffic flow: the state of the art,” Journal of Control Theory and Applications, vol. 10, no. 2, pp. 133–143, 2012. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  7. T. Tang, W. Shi, H. Shang, and Y. Wang, “A new car-following model with consideration of inter-vehicle communication,” Nonlinear Dynamics, vol. 76, no. 4, pp. 2017–2023, 2014. View at Publisher · View at Google Scholar · View at Scopus
  8. J. Ploeg, N. Van De Wouw, and H. Nijmeijer, “Lp string stability of cascaded systems: application to vehicle platooning,” IEEE Transactions on Control Systems Technology, vol. 22, no. 2, pp. 786–793, 2014. View at Publisher · View at Google Scholar · View at Scopus
  9. W. Wang, S. S. Liao, X. Li, and J. S. Ren, “The process of information propagation along a traffic stream through intervehicle communication,” IEEE Transactions on Intelligent Transportation Systems, vol. 15, no. 1, pp. 345–354, 2014. View at Publisher · View at Google Scholar · View at Scopus
  10. L. Xiao and F. Gao, “Practical string stability of platoon of adaptive cruise control vehicles,” IEEE Transactions on Intelligent Transportation Systems, vol. 12, no. 4, pp. 1184–1194, 2011. View at Publisher · View at Google Scholar · View at Scopus
  11. X. F. Yuan, Y. N. Wang, L. H. Wu, X. Z. Zhang, and W. Sun, “Neural network based self-learning control strategy for electronic throttle valve,” IEEE Transactions on Vehicular Technology, vol. 59, no. 8, pp. 3757–3765, 2010. View at Publisher · View at Google Scholar · View at Scopus
  12. J. Deur, D. Pavković, N. Perić, M. Jansz, and D. Hrovat, “An electronic throttle control strategy including compensation of friction and limp-home effects,” IEEE Transactions on Industry Applications, vol. 40, no. 3, pp. 821–834, 2004. View at Publisher · View at Google Scholar · View at Scopus
  13. D. Pavković, J. Deur, M. Jansz, and N. Perić, “Adaptive control of automotive electronic throttle,” Control Engineering Practice, vol. 14, no. 2, pp. 121–136, 2006. View at Publisher · View at Google Scholar · View at Scopus
  14. X. Yuan and Y. Wang, “A novel electronic-throttle-valve controller based on approximate model method,” IEEE Transactions on Industrial Electronics, vol. 56, no. 3, pp. 883–890, 2009. View at Publisher · View at Google Scholar · View at Scopus
  15. M. Vašak, M. Baotić, M. Morari, I. Petrović, and N. Perić, “Constrained optimal control of an electronic throttle,” International Journal of Control, vol. 79, no. 5, pp. 465–478, 2006. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  16. M. Vašak, M. Baotić, I. Petrović, and N. Perić, “Hybrid theory-based time-optimal control of an electronic throttle,” IEEE Transactions on Industrial Electronics, vol. 54, no. 3, pp. 1483–1494, 2007. View at Publisher · View at Google Scholar · View at Scopus
  17. D. Kim, H. Peng, S. Bai, and J. M. Maguire, “Control of integrated powertrain with electronic throttle and automatic transmission,” IEEE Transactions on Control Systems Technology, vol. 15, no. 3, pp. 474–482, 2007. View at Publisher · View at Google Scholar · View at Scopus
  18. K. Nakano, U. Sawut, K. Higuchi, and Y. Okajima, “Modelling and observer-based sliding-mode control of electronic throttle system,” ECTI Transactions on Electrical Engineering, Electronics, and Communications, vol. 4, no. 1, pp. 22–28, 2006. View at Google Scholar
  19. M. Horn and M. Reichhartinger, “Second-order sliding mode control of electronic throttle valves,” in Proceedings of the IEEE 10th International Workshop on Variable Structure Systems (VSS '08), pp. 280–284, IEEE, Antalya, Turkey, June 2008. View at Publisher · View at Google Scholar · View at Scopus
  20. Y. D. Pan, Ü. Özguner, and O. H. Dağci, “Variable-structure control of electronic throttle valves,” IEEE Transactions on Industrial Electronics, vol. 55, no. 11, pp. 3899–3907, 2008. View at Publisher · View at Google Scholar · View at Scopus
  21. R. Bai and S. Tong, “Adaptive backstepping sliding-mode control of the electronic throttle system in modern automobiles,” Mathematical Problems in Engineering, vol. 2014, Article ID 383064, 8 pages, 2014. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  22. X. Yuan, Y. Wang, and L. Wu, “SVM-based approximate model control for electronic throttle valve,” IEEE Transactions on Vehicular Technology, vol. 57, no. 5, pp. 2747–2756, 2008. View at Publisher · View at Google Scholar · View at Scopus
  23. M. Barić, I. Petrović, and N. Perić, “Neural network-based sliding mode control of electronic throttle,” Engineering Applications of Artificial Intelligence, vol. 18, no. 8, pp. 951–961, 2005. View at Publisher · View at Google Scholar · View at Scopus
  24. M. Nentwig and P. Mercorelli, “Throttle valve control using an inverse local linear model tree based on a Fuzzy neural network,” in Proceedings of the 7th IEEE International Conference on Cybernetic Intelligent Systems (CIS '08), pp. 1–6, London, UK, September 2008. View at Publisher · View at Google Scholar · View at Scopus
  25. M. Barić, I. Petrović, and N. Perić, “Neural network based sliding mode controller for a class of linear systems with unmatched uncertainties,” in Proceedings of the 41st IEEE Conference on Decision and Control, vol. 1, pp. 967–972, Las Vegas, Nev, USA, December 2002. View at Publisher · View at Google Scholar
  26. W. Sheng and Y. Bao, “Fruit fly optimization algorithm based fractional order fuzzy-PID controller for electronic throttle,” Nonlinear Dynamics, vol. 73, no. 1-2, pp. 611–619, 2013. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  27. C.-H. Wang and D.-Y. Huang, “A new intelligent fuzzy controller for nonlinear hysteretic electronic throttle in modern intelligent automobiles,” IEEE Transactions on Industrial Electronics, vol. 60, no. 6, pp. 2332–2345, 2013. View at Publisher · View at Google Scholar · View at Scopus
  28. A. K. Yadav and P. Gaur, “Robust adaptive speed control of uncertain hybrid electric vehicle using electronic throttle control with varying road grade,” Nonlinear Dynamics, vol. 76, no. 1, pp. 305–321, 2014. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  29. Z. J. Kang and X. Y. Chen, “A design method of nonlinear extension state observer,” Electric Machines and Control, vol. 5, no. 3, pp. 199–203, 2001. View at Google Scholar
  30. A. A. Godbole, J. P. Kolhe, and S. E. Talole, “Performance analysis of generalized extended state observer in tackling sinusoidal disturbances,” IEEE Transactions on Control Systems Technology, vol. 21, no. 6, pp. 2212–2223, 2013. View at Publisher · View at Google Scholar · View at Scopus
  31. Z. Gao, X. Dai, T. Breikin, and H. Wang, “Novel parameter identification by using a high-gain observer with application to a gas turbine engine,” IEEE Transactions on Industrial Informatics, vol. 4, no. 4, pp. 271–279, 2008. View at Publisher · View at Google Scholar · View at Scopus
  32. M. Morawiec, “The adaptive backstepping control of permanent magnet synchronous motor supplied by current source inverter,” IEEE Transactions on Industrial Informatics, vol. 9, no. 2, pp. 1047–1055, 2013. View at Publisher · View at Google Scholar · View at Scopus
  33. J. R. Dominguez, A. Navarrete, M. A. Meza, A. G. Loukianov, and J. Cañedo, “Digital sliding-mode sensorless control for surface-mounted PMSM,” IEEE Transactions on Industrial Informatics, vol. 10, no. 1, pp. 137–151, 2014. View at Publisher · View at Google Scholar · View at Scopus
  34. D. Zhao, T. Zou, S. Li, and Q. Zhu, “Adaptive backstepping sliding mode control for leader-follower multi-agent systems,” IET Control Theory & Applications, vol. 6, no. 8, pp. 1109–1117, 2012. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  35. Y. C. Fang, P. C. Wang, N. Sun, and Y. C. Zhang, “Dynamics analysis and nonlinear control of an offshore boom crane,” IEEE Transactions on Industrial Electronics, vol. 61, no. 1, pp. 414–427, 2014. View at Publisher · View at Google Scholar · View at Scopus
  36. Y. Xia, Z. Zhu, and M. Fu, “Back-stepping sliding mode control for missile systems based on an extended state observer,” IET Control Theory & Applications, vol. 5, no. 1, pp. 93–102, 2011. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  37. N. Sun, Y. C. Fang, and H. Chen, “A new antiswing control method for underactuated cranes with unmodeled uncertainties: theoretical design and hardware experiments,” IEEE Transactions on Industrial Electronics, vol. 62, no. 1, pp. 453–465, 2015. View at Publisher · View at Google Scholar
  38. X. Zhang, Y. Fang, and N. Sun, “Minimum-time trajectory planning for underactuated overhead crane systems with state and control constraints,” IEEE Transactions on Industrial Electronics, vol. 61, no. 12, pp. 6915–6925, 2014. View at Publisher · View at Google Scholar
  39. E. Hendricks and S. C. Sorenson, “Mean value modelling of spark ignition engines,” SAE Technical Paper 900616, 1990. View at Google Scholar