Cover
Vol. 19 No. 2 (2019)

Published: September 30, 2019

Pages: 9-17

Original Article

Adaptive Fuzzy Super – Twisting Sliding Mode Controller optimized by ABC for Vehicle Suspension System

Atheel K. Abdulzahra 1 Turki Y. Abdalla 1
1 Dept. of Computer Engineering College of Engineering University of Basrah Basrah-IRAQ
History
  • Received: June 30, 2019
  • Available Online: September 30, 2019
DOI

https://doi.org/10.33971/bjes.19.2.2

Abstract

In this paper, a second order Sliding Mode Controller (SMC), based on Super – Twisting algorithm, Fuzzy estimator and PID controller is presented for quarter vehicle active suspensions. Because of the chattering that appeared at the output of the system when using first order SMC, second order SMC is preferred. The proposed controller has been derived in order to achieve the convergence and the stability of the system that can improve the comfortable driving and vehicles safety against different road disturbances. The Artificial Bee Colony optimization method has been utilized to find the optimal values of the proposed controller parameters. The obtained results of the simulations have been verified the efficiency and the ability of the proposed control scheme to suppress the oscillations and give the stability of the suspension system in the presence of uncertainty and different road disturbances.

Keywords

References

  1. Rakheja, S., M. F. R. Afonso, and S. Sankar. “Dynamic analysis of tracked vehicles with trailing arm suspension and assessment of ride vibrations.” International Journal of Vehicle Design, 13.1, 1992.
  2. A. Ahmad, “An observer design for active suspension system,” Master Dissertation (Electrical - Mechatronic & Auotomatic Control). Malaysia technology university, 2005.
  3. M. S. Ab Ghani, “Simulation and experimental analysis of a suspension system,” Master Dissertation (Mechanical Engineering). Malaysia technology university, 2006.
  4. P. Tiwari and D. G. R. Mishra, “Simulation OF Quarter Car Model,” IOSR J. Mech. Civ. Eng., vol. 11, no. 2, pp. 85–88, 2014.
  5. M. S. Yahaya and H. S. O. Johari, “Sliding mode control of a hydraulically actuated active suspension,” J. Teknol., vol. 44, no. D, pp. 37–48, 2007.
  6. K. Rajeswari and P. Lakshmi, “GA tuned distance based fuzzy sliding mode controller for vehicle suspension systems,” International Journal of Engineering and Technology, Vol. 5, No. 1, pp. 36- 47, 2008.
  7. C. Zhou et al., “Optimal Sliding Mode Control for an Active Suspension System Based on a Genetic Algorithm,” Algorithms, vol. 11, no. 12, p. 205, Dec. 2018.
  8. D. Singh, “Active Vibration Control of Passenger Seat in Quarter Car Model using Supertwisting Controller,” Int. J. Control Autom., vol. 10, no. 11, pp. 83–94, Nov. 2017.
  9. H. OZER, Y. HACIOGLU, and N. Y.- sign, “High order sliding modes for vehicle suspensions via optimized super twisting algorithm,” Conference, 66 th International Conference on Science, Technology and Management (ICSTM), at Amsterdam, Netherlands, Jun. 2016.
  10. D. Hanafi, “PID Controller Design for Semi-active Car Suspension Based on Model from Intelligent System Identification,” In Second International Conference on Computer Engineering and Applications, 2010, pp. 60–63.
  11. W. H. Al-Mutar and T. Y. Abdalla, “Quarter Car Active Suspension System Control Using PID Controller tuned by PSO,” Iraqi J. Electr. Electron. Eng., vol. 11, no. 2, pp. 151–158, 2015.
  12. A. Aldair, T. Y. Abdalla and E. Al Saedee, “Design of PID Controller using ABC for Full Vehicle Nonlinear Active Suspension System with Passenger Seat,” International Journal of Computer Applications, vol. 167, no. 11, June 2017.
  13. W. Al-Mutar, and T. Y. Abdalla, “Quarter car active suspension system control using fuzzy controller tuned by pso,” International Journal of Computer Applications , vol. 127, no. 2, Oct. 2015.
  14. A. Levant, “Universal single-input-single-output (SISO) sliding-mode controllers with finite-time convergence,” IEEE transactions on Automatic Control, 2001 - Citeseer.
  15. H. Choi, and K. Ro, “LMI-based sliding-mode observer design method,” IEE Proceedings-Control Theory and Applications, 2005.
  16. A. LEVANT, “Sliding order and sliding accuracy in sliding mode control,” Int. J. Control, vol. 58, no. 6, pp. 1247–1263, Dec. 1993.
  17. G. Bartolini, A. Ferrara, and E. Usai, “Chattering avoidance by second-order sliding mode control,” IEE Proceedings-Control Theory and Applications, 1998.
  18. M. M. Ma and H. Chen, “Disturbance attenuation control of active suspension with non-linear actuator dynamics,” IET Control Theory Appl., vol. 5, no. 1, p. 112, 2011.
  19. T. Y. Abdalla, A. A. Abed, and A. A. Ahmed, “Mobile robot navigation using PSO-optimized fuzzy artificial potential field with fuzzy control,” J. Intell. Fuzzy Syst., vol. 32, no. 6, pp. 3893–3908, May 2017.
  20. Z. T. Allawi and T. Y. Abdalla, “An optimal defuzzification method for interval type-2 fuzzy logic control scheme,” I Science and Information Conference (SAI), 2015, pp. 619–627.
  21. Z. T. Allawi and T. Y. Abdalla, “A PSO-optimized type-2 fuzzy logic controller for navigation of 19 th multiple mobile robots”, International Conference on Methods and Models in Automation and Robotics (MMAR), 2014.
  22. M. I. Hamzah , Turki Y Abdalla, “ Mobile Robot Navigation using Fuzzy Logic and Wavelet Network” , International Journal of Robotics and Automation, Vol. 3, Nol. 3, 2014.
  23. H. Antranik Hairik, T. Y. Abdalla, and A. M. Dakhil, “Minimization of Torque Ripple in DTC of Induction Motor Using Fuzzy Mode Duty Cycle Controller,” Iraqi J. Electr. Electron. Eng., vol. 7, no. 1, pp. 42–49, 2011.
  24. J. Liu, Sliding mode control using MATLAB. Academic Press, 2017.
  25. M. H. Ab. Talib and I. Z. Mat Darns, “Self-tuning PID controller for active suspension system with hydraulic actuator,” IEEE Symposium on Computers & Informatics (ISCI), 2013, pp. 86–91.
  26. G. Yan and C. Li, “An effective refinement artificial bee colony optimization algorithm based on chaotic search and application for pid control tuning,” Journal of Computational Information Systems 7 (9), November 2010.
  27. D. Karaboga, “An idea based on honey bee swarm for numerical optimization,” TECHNICAL REPORT-TR06, Oct. 2005.
  28. W. Liao, Y. Hu, and H. Wang, “Optimization of PID control for DC motor based on artificial bee colony algorithm,” International Conference on Advanced Mechatronic Systems at Japan, Aug. 2014, IEEE.
  29. A. A. Aldair, E. B. Alsaedee, and T. Y. Abdalla, “Design of ABCF Control Scheme for Full Vehicle Nonlinear Active Suspension System with Passenger Seat,” Iran. J. Sci. Technol. Trans. Electr. Eng., Sep. 2018.
  30. F. Zhao, M. Dong, Y. Qin, L. Gu, and J. Guan. “Adaptive neural-sliding mode control of active suspension system for camera stabilization,” Shock and Vibration, vol. 2015, Article ID 542364, 8 pages. hindawi.com.
  31. D. Rosheila, “Modeling and control of active suspension for a full car model,” Master Dissertation. Malaysia technology university, 2008.
  32. S. W. Kang, J. Kim, and G.-W. Kim, “Random Road Measurement Roughness based on Gauss- Markov Process,” Trans. Korean Soc. Noise Vib. Eng., vol. 28, no. 4, pp. 432–439, Aug. 2018.