Journal of Power Electronics

The Korean Institute of Power Electronics (전력전자학회)
권호 표지
DOI QR코드

DOI QR Code

Optimal Speed Control of Hybrid Electric Vehicles

  • Yadav, Anil Kumar (Dept. of Electronics and Instrumentation Engg., Meerut Institute of Eng. & Technology Meerut) ;
  • Gaur, Prerna (Division of Instrumentation & Control Engg., Netaji Subhas Institute of Technology) ;
  • Jha, Shyama Kant (Division of Instrumentation & Control Engg., Netaji Subhas Institute of Technology) ;
  • Gupta, J.R.P. (Division of Instrumentation & Control Engg., Netaji Subhas Institute of Technology) ;
  • Mittal, A.P. (Division of Instrumentation & Control Engg., Netaji Subhas Institute of Technology)
  • Received : 2011.01.04
  • Published : 2011.07.20
Download PDF
⟨ Previous Next ⟩

Abstract

The main objective of this paper is to control the speed of Nonlinear Hybrid Electric Vehicle (HEV) by controlling the throttle position. Various control techniques such as well known Proportional-Integral-Derivative (PID) controller in conjunction with state feedback controller (SFC) such as Pole Placement Technique (PPT), Observer Based Controller (OBC) and Linear Quadratic Regulator (LQR) Controller are designed. Some Intelligent control techniques e.g. fuzzy logic PD, Fuzzy logic PI along with Adaptive Controller such as Self Organizing Controller (SOC) is also designed. The design objective in this research paper is to provide smooth throttle movement, zero steady-state speed error, and to maintain a Selected Vehicle (SV) speed. A comparative study is carried out in order to identify the superiority of optimal control technique so as to get improved fuel economy, reduced pollution, improved driving safety and reduced manufacturing costs.

Keywords

References

  1. I. Husain, Electric and Hybrid Vehicles, Design Fundamentals, 2nd edition, CRC Press, Taylor and Francis Group, NewYork, Chap. 1, 2011.
  2. K. T. Chau, C. C. Chan, and C. Liu, "Overview of permanent magnet brushless drives for electric and hybrid electric vehicles," IEEE Trans. Ind. Electron., Vol. 55, No. 6, pp. 2246-2257, Jun. 2008.
  3. Z. Lubis, A. N. Abdalla, Mortaza and R. Ghon, "Mathematical modelling of three phase induction motor coupled to DC motor in hybrid electric vehicle," American Journal of Engineering and Applied Sciences, Vol. 2, No. 4, pp. 715-719, 2009.
  4. C. Zhang, Z. Bai, B. Cao and J. Lin, "Simulation and experiment of driving control system for electic vehicle," International Journal of Information and System Sciences, Vol. 1, No. 3-4, pp.283-292, 2005.
  5. F. R. Salmashi, "Control strategies for hybrid electric vehicle; evolution, classification, comparison and future trends," IEEE Trans. Vehicular Technology, Vol. 56, No. 5, pp. 2393-2404, Sep. 2007. https://doi.org/10.1109/TVT.2007.899933
  6. Z. Preitl, P. Bauer, and J .Bokor, "Cascade control solution for traction motor for hybrid electric vehicles," Acta Polytechnica Hungarica, Vol. 4, No. 3, 2007.
  7. Yoichi Hori, "Motion control of Electric Vehicles and Prospects of Supercapacitors," IEEJ Transaction on Electrical and Electronic Engineering, Vol. 4, pp. 231-239, 2009. https://doi.org/10.1002/tee.20401
  8. Zulfatman and M. F. Rahmat, "Application of self tuning fuzzy PID controller on industrial hydraulic actuator using system identification approach," International Journal on Smart Sensing and Intelligent system, Vol. 2, No. 2, Jun. 2009.
  9. L. Feiqiang,W. Jun, and L. Zhaodu, "Fuzzy logic based controller design for four-wheel-drive electric vehicle yaw stability enhansement," in Proc. Sixth International Conference on Fuzzy Systems and Knowledge Discovery, Vol. 4, 2009.
  10. S. H. Kim and C .Park, "A self organising fuzzy controller for wheeled mobile robot using evolutionary algorithm," IEEE Trans. Ind. Electron., Vol. 48, No. 2, pp. 467-474, Apr. 2001. https://doi.org/10.1109/41.915427
  11. K. M. Junaid and S. Wang, "Automatic Cruise control modeling- a lattice pwl approximation approach," in Proc. the IEEE ITSC, pp. 1370-1375, Sep. 2006.
  12. R. Mayr, and O. Bauer, "Safety issues in intelligent cruise control," in Proc. IEEEIntelligent Transportation Systems, pp. 970-975, 1999.
  13. A. Trebi-Ollennu and J. M. Dolan, "Adaptive fuzzy throttle control for an all terrain vehicle," in Proc. Robotics Institute, Paper 198, Oct. 1999.
  14. X. Liu, Q. Huang, Y. Chen, and J. Li, "Nonlinear modeling and optimal controller design for radar servo system," Third International Symposium on Intelligent Information Technology Application, 2009.
  15. L. Guo, Q. Liao, S. Wei, and Y. Zhuang, "Design of linear quadratic optimal controller for bicycle robot," in Proc. the IEEE International Conference on Automation and Logistics Shenyang, 2009.
  16. J. Jantzen, Foundation of Fuzzy Control, John Willy and Sons, Ltd., Chap. 6, 2007.
  17. M. Namazov, "DC motor position control using fuzzy proportionalderivative controllers with different defuzzification methods," Turkish Journal of Fuzzy Systems An Official Journal of Turkish Fuzzy Systems Association, Vol. 1, No. 1, pp. 36-54, 2010.
  18. K. T. Oner, E. Cetinsoy, E. Sirimoglu, C. Hancer, T. Ayken, and M. Unel, "LQR and SMC stabilization of a new unmanned aerial vehicle" World Academy of Science, Engineering and Technology 58, 2009.
  19. L. Feiqiang, W. Jun, L. Zhaodu, "On the vehicle stability control for electric vehicle based on control allocation," IEEE Vehicle Power and Propulsion Conference (VPPC), pp. 1-5, 2008.
  20. M. Gopal, Digital Control and State Variable Methods Conventional and Intelligent Control System, Tata Mcgraw Hill Education Pte. Ltd., Third Reprint, Chap. 7, 2009.
  21. J. Yen and R. Langari, Fuzzy Logic Intelligence, Control, And Information, pearson education (Singapore) Pte.Ltd., Fourth Indian Reprint, Chap. 8, 2005.
  22. A. Kakilli, Y. Oguz, and H. C¸ alik, "The modelling of electric power systems on the state space and controlling of optimal lqr load frequency," Journal of Electrical & Electronics Engineering, Vol. 9, No. 2, pp. 977-982, 2009.
  23. L. Gollman, D. Kern, and H. Maurer, "Optimal control problems with delays in state and control variables subject to mixed control-state constraints," Journal of Optimal Control Applications and Methods, Vo. 30, pp. 341-365, 2009. https://doi.org/10.1002/oca.843
  24. I. R. Peterson, "Robust H$^{\infty}$control of an uncertain system via a strict bounded real output feedback controller," Journal of Optimal Control Application and Methods, Vol. 30, pp. 247-266, 2009. https://doi.org/10.1002/oca.845
  25. D. E. Kirk, Optimal Control, Prentice Hall Inc, Chap. 5, 1970.
  26. P. P. Mohanlal, M. R Kaimal, and S. Dasgupta, "Exact fuzzy modeling and optimal control of a launch vehicle in the atmospheric phase," Seventh lnternational Conference on Control Automation, Roboties and Vision (ICARCV'OZ), Dec. 2002.
  27. C. Mi, H. Lin, and Y. Zhang, "Iterative learning control of antilock braking of electric and hybrid vehicles," IEEE Trans. Veh. Technol., Vol. 54, No. 2, pp. 486-494, Mar. 2005. https://doi.org/10.1109/TVT.2004.841552
  28. S. Omatu, M. Yoshioka, and T. Kosaka, "PID control of speed and torque of electric vehicle," Third International Conference on Advanced Engineering Computing and Applications in Sciences, 2009.

Cited by

  1. AI-based adaptive control and design of autopilot system for nonlinear UAV vol.39, pp.4, 2014, https://doi.org/10.1007/s12046-014-0275-0
  2. Comparative Study of Different Classical and Modern Control Techniques for the Position Control of Sophisticated Mechatronic System vol.93, 2016, https://doi.org/10.1016/j.procs.2016.07.307
  3. Intelligent modified internal model control for speed control of nonlinear uncertain heavy duty vehicles vol.56, 2015, https://doi.org/10.1016/j.isatra.2014.12.001
  4. Robust Longitudinal Speed Control of Hybrid Electric Vehicles with a Two-Degree-of-Freedom Fuzzy Logic Controller vol.9, pp.4, 2016, https://doi.org/10.3390/en9040290
  5. Robust adaptive speed control of uncertain hybrid electric vehicle using electronic throttle control with varying road grade vol.76, pp.1, 2014, https://doi.org/10.1007/s11071-013-1128-9
  6. Energy Near-Optimal Control Strategies for Industrial and Traction Drives with a.c. Motors vol.2017, 2017, https://doi.org/10.1155/2017/1857186
  7. An Optimized and Improved STF-PID Speed Control of Throttle Controlled HEV vol.41, pp.9, 2016, https://doi.org/10.1007/s13369-016-2131-5
  8. Improved Self-Tuning Fuzzy Proportional–Integral–Derivative Versus Fuzzy-Adaptive Proportional–Integral–Derivative for Speed Control of Nonlinear Hybrid Electric Vehicles vol.11, pp.6, 2016, https://doi.org/10.1115/1.4033685
  9. Sliding Mode-Based Fuzzy Model Reference Adaptive Control Technique for an Unstable System pp.2250-2114, 2019, https://doi.org/10.1007/s40031-019-00372-5