Fuzzy Sliding Mode Control Scheme for Vehicle Active Suspension System Optimized by ABC Algorithm

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Atheel K. Abdulzahra 1,* Turki Y. Abdalla 1

1. Department of Computer Engineering, College of Engineering, University of Basrah, Basrah, Iraq

* Corresponding author.

DOI: https://doi.org/10.5815/ijisa.2019.12.01

Received: 11 Mar. 2019 / Revised: 22 May 2019 / Accepted: 12 Aug. 2019 / Published: 8 Dec. 2019

Index Terms

Fuzzy estimator, Sliding mode control, ABC algorithm, PID controller, Active suspension system


This paper suggests a proposed control scheme of fuzzy sliding mode and PID controller tuned with Artiļ¬cial bee colony (ABC) algorithm to control vehicle suspension system. Suspension systems are utilized to provide vehicles safety and improve comfortable driving. The effects of the road roughness transmitted by the tires to the vehicle body can be reduced by using suspension systems. Fuzzy system is used for estimating the unknown parameters and uncertainty in the suspension system components (spring, damper and actuator). This study combines sliding mode with fuzzy strategy to design a robust control method. The ABC technique is used to optimize the controller parameters. The suggested control scheme endeavors to limit the vibration of the vehicle body by creating a suitable force for the suspension systems when passing on disturbance. Passive and active suspension systems are compared to test efficiency and ability of the proposed control scheme to enhance the safety and comfortable driving for different road profiles.

Cite This Paper

Atheel K. Abdulzahra, Turki Y. Abdalla, "Fuzzy Sliding Mode Control Scheme for Vehicle Active Suspension System Optimized by ABC Algorithm", International Journal of Intelligent Systems and Applications(IJISA), Vol.11, No.12, pp.1-10, 2019. DOI:10.5815/ijisa.2019.12.01


[1]P. Dowds, and A. O'Dwyer, “Modelling and control of a suspension system for vehicle applications”, 2005. Proceedings of the 4th Wismarer Automatisierungssymposium 2005, Wismar, Germany.
[2]E. Alvarez-Sánchez, “A quarter-car suspension system: car body mass estimator and sliding mode control”, Procedia Technology, 2013. 7: p. 208-214.
[3]AENS Ahmed, and et al., “PID controller of active suspension system for a quarter car model”, International Journal of Advances in Engineering & Technology, 2015. 8 6: p. 899.
[4]A. Agharkakli, G. S. Sabet, and A. Barouz, “Simulation and analysis of passive and active suspension system using quarter car model for different road profile”, International Journal of Engineering Trends and Technology, 2012. 3 5: p. 636-644.
[5]S. I. Son, and C. Isik, “Application of fuzzy logic control to an automotive active suspension system”, in Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on. 1996. IEEE.
[6]R. Kothandaraman, and L. Ponnusamy, “PSO tuned adaptive neuro-fuzzy controller for vehicle suspension systems”, Journal of advances in information technology, 2012. 3 1: p. 57-63.
[7]W. H. Al-Mutar and T. Y. Abdalla , “Quarter Car Active Suspension System Control Using PID Controller tuned by PSO”, Iraqi Journal for Electrical And Electronic Engineering, 2015. 11 2: p. 151-158.
[8]A. A. Aldair, T. Y. Abdalla , and E. B. Alsaedee, “Design of1PID Controller using ABC for Full Vehicle Nonlinear Active Suspension System with Passenger Seat”, IJCA, 2017. 8: p. 9.
[9]M. Farahmand, C. Lucas, and M. Yazdanpanah, “Design of Fuzzy Logic and Optimal Control to an Automative Active Suspension system”, in Control and Automation, 2003. ICCA'03. Proceedings. 4th International Conference on. 2003. IEEE.
[10]W. H. Al-Mutar and T. Y. Abdalla, “Quarter Car Active Suspension System Control using Fuzzy Controller tuned by PSO”, International Journal of Computer Applications, 2015. 127 2.
[11]Y. M. Sam, J. H. Osman, and M. R. A. Ghani, “A class of proportional-integral sliding mode control with application to active suspension system”, Systems & control letters, 2004. 51 3-4: p. 217-223.
[12]T. Yoshimura, and et al., “Construction of an active suspension system of a quarter car model using the concept of sliding mode control”, Journal of Sound and Vibration, 2001. 239 2: p. 187-199.
[13]Y. Sam and J. H. S. Osman, “Sliding mode control of a hydraulically actuated active suspension”, Jurnal Teknologi, 2006. 44: p. 37-48
[14]F. Zhu, A. Winfield, and C. Melhuish, “Fuzzy sliding mode control for discrete nonlinear systems”, Transactions of China Automation Society, 2003. 22 2.
[15]I. Eksin, M. Guzelkaya, and S. Tokat, “Sliding surface slope adjustment in fuzzy sliding mode controller”, in Mediterranean Conference. 2002.
[16]S. J. Huang and H. Y. Chen, “Adaptive sliding controller with self-tuning fuzzy compensation for vehicle suspension control”, Mechatronics, 2006. 16 10: p. 607-622.
[17]F. Zhao, and et al., “Adaptive neural-sliding mode control of active suspension system for camera stabilization”, Shock and Vibration, 2015. 2015.
[18]M. M. Ma and H. Chen, “Disturbance attenuation control of active suspension with non-linear actuator dynamics”, IET control theory & applications, 2011. 5 1: p. 112-122.
[19]V. I. Utkin, “Sliding modes and their applications in variable structure systems”, Mir, Moscow, 1978.
[20]K. Rajeswari and P. Lakshmi, “GA tuned distance based fuzzy sliding mode controller for vehicle suspension systems”, International Journal of Engineering and Technology, 2008. 5 1: p. 36-47.
[21]SHYU KUOKAI and JUNJUH YAN, “Robust stability of uncertain time-delay systems and its stabilization by variable structure control”, International Journal of Control, 1993. 57 1: p. 237-246.
[22]T. Y. Abdalla , H. A. Hairik, and A. M. Dakhil , “Minimization of torque ripple in DTC of induction motor using fuzzy mode duty cycle controller”, Energy, Power and Control (EPC-IQ), 1st International Conference on, IEEE 2010.
[23]T. Y. Abdalla, A. A. Abed, and A. A. Ahmed, “Mobile robot navigation using PSO-optimized fuzzy artificial potential field with fuzzy control”, Journal of Intelligent & Fuzzy Systems, vol. 32, No.6,. 2017.
[24]Z. T. Allawi and Turki Y. Abdalla, “An Optimal Defuzzification Method for Interval Type-2 Fuzzy Logic Control Scheme”, IEEE science and information conference, 2015, London.
[25]Z. T. Allawi and Turki Y. Abdalla, “PSO-optimized type-2 fuzzy logic controller for navigation of multiple mobile robots”,‏ IEEE 19th International Conference On Methods and Models in Automation and Robotics (MMAR), 2014.
[26]J. A. Dickerson and B. Kosko, “Fuzzy function approximation with ellipsoidal rules”, IEEE Trans. Syst., Man, Cybern., vol. 24, pp. 542–560, 1996.
[27]M. I. Hamzah and Turki Y. Abdalla, “Mobile Robot Navigation using Fuzzy Logic and Wavelet Network”, International Journal of Robotics and Automation, Vol. 3, Nol. 3, 2014.
[28]J. Liu, “Sliding Mode Control Using MATLAB”, 2017: Academic Press.
[29]B. Chen, and et al., “Direct adaptive fuzzy control of nonlinear strict-feedback systems”, Automatica, 2009. 45 6: p. 1530-1535.
[30]S. Pareek, M. Kishnani, and R. Gupta, “Application of artificial bee colony optimization for optimal PID tuning”, in Advances in Engineering and Technology Research (ICAETR), 2014 International Conference on. 2014. IEEE.
[31]M. H. A. Talib and I. Z. M. Darns, “Self-tuning PID controller for active suspension system with hydraulic actuator”, in Computers & Informatics (ISCI), 2013 IEEE Symposium on. 2013. IEEE.
[32]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, 2011. 7 9: p. 3309-3316.
[33]M. E. El-Telbany, “Tuning PID controller for DC motor: An artificial bees optimization approach”, International Journal of Computer Applications, 2013. 77 15.
[34]D. Karaboga, “An idea based on honey bee swarm for numerical optimization”, in Secondary based. 2005, Technical report-tr06, Erciyes university, engineering faculty, computer
[35]Y. Sonmez, and et al., “Improvement of Buck Converter Performance Using Artificial Bee Colony Optimized-PID Controller”, Journal of Automation and Control Engineering, 2015. 3 4: p. 304-310.
[36]D. Rosheila, “Modeling and control of active suspension for a full car model”, Master Dissertation. Malaysia Technology University 2008.
[37]Sun Woo Kang, J. S. Kim, and Gi Woo Kim, “Random Road Measurement Roughness based on Gauss-Markov Process”, Transactions of the Korean Society for Noise and Vibration Engineering. Vol.28, 2018, 432-439.