International Journal of Vehicle Structures and Systems

Open Access Open Access  Restricted Access Subscription Access

Reduction of Body Acceleration in the Quarter Car Model Using Fractional Order Fuzzy Sliding Mode Controller


Affiliations
1 College of Engg., Anna University, Chennai, India
 

   Subscribe/Renew Journal


Vehicle vibration can be controlled by Active Suspension System (ASS). The performances of ASS are better than the conventional Passive Suspension System (PSS). The effectiveness of ASS is based on the type of controllers used. In this paper, a quarter car model with ASS is considered for analysis. To reduce the vibration and improve the ride quality, Fractional order Fuzzy Sliding Mode Controller (FrFSMC) is proposed and its performances are compared with Fuzzy Sliding Mode Controller (FSMC) and passive system. While testing the performance of the controllers three types of road disturbances are given to the quarter car model to stimulate the vibration. The results of the proposed controllers are also compared against the existing Gray Fuzzy Sliding Mode Controller (GFSMC). From the time responses and ischolar_main mean square indices, FrFSMC performs better than the FSMC, GFSMC and PSS.

Keywords

Active Suspension System, Fractional Order Fuzzy Sliding Mode Control, Fuzzy Sliding Mode Control, Quarter Car Model, Vibration Control.
User
Subscription Login to verify subscription
Notifications
Font Size

  • B.L. Gysen, T.P. Van der Sande, J.J. Paulides and E.A. Lomonova. 2011. Efficiency of a regenerative direct-drive electromagnetic active suspension, IEEE Trans. Vehicular Tech., 60(4), 1384-1393. https://doi.org/10.1109/TVT.2011.2131160.

  • R. Kalaivani, P. Lakshmi and K. Sudhagar. 2014. Hybrid (DEBBO) fuzzy logic controller for quarter car model: DEBBOFLC for quarter car model, IEEE Int. Conf.Control, 301-306. https://doi.org/10.1109/CONTROL.2014.6915157.

  • K. Rajeswari and P. Lakshmi. 2011. Vibration control of mechanical suspension system using lab view, Int. J.Instrumentation Tech., 1(1), 60-71. http://dx.doi.org/10.1504/IJIT.2011.043592

  • A.A. Aly and F.A. Salem. 2013. Vehicle suspension systems control a review, Int. J. Control, Automation and Systems, 2(2), 46-54.

  • S.B. Choi and Y.M. Han. 2007. Vibration control of electrorheological seat suspension with human-body model using sliding mode control, J. Sound and Vibration, 303(1), 391-404. http://dx.doi.org/10.1016/j.jsv.2007.01.027.

  • R. Kothandaraman, L. Satyanarayana and L. Ponnusamy. 2015. Grey Fuzzy sliding mode controller for vehicle suspension system. J. Control Engg. and Applied Informatics, 17(3), 12-19.

  • R. Kalaivani, P. Lakshmi and K. Rajeswari. 2015. An improved type-2 fuzzy logic approach based sliding mode controller for vehicle active suspension system, J.Vibration Engg. and Tech., 3(4), 431-446.

  • A.A. Aly. 2013. Robust sliding mode fuzzy control of a car suspension system, Int. J. Information Tech. and Computer Science, 5(8), 46. https://dx.doi.org/10.5815/ijitcs.2013.08.05.

  • H.Y. Chen and S.J. Huang. 2008. A new model-free adaptive sliding controller for active suspension system, Int. J. Systems Science, 39(1), 57-69. http://dx.doi.org/10.1016/j.jsv.2007.01.027.

  • E. Alvarez-Sanchez. 2013. A quarter-car suspension system: car body mass estimator and sliding mode control, Proc. Tech., 7, 208-214. http://dx.doi.org/10.1016/j.protcy.2013.04.026.

  • R. Kalaivani, P. Lakshmi and K. Sudhagar. 2014. Vibration control of vehicle active suspension system using novel fuzzy logic controller, Int. J. Enterprise Network Management, 6(2), 139-152. http://dx.doi.org/10.1504/IJENM.2014.066824.

  • M.M.M. Salem and A.A. Aly. 2009. Fuzzy control of a quarter-car suspension system, World Academy of Science, Engg. and Tech., 53(5), 258-263.

  • F.J. D’Amato and D.E. Viassolo. 2000. Fuzzy control for active suspensions, Mechatronics, 10(8), 897-920. http://dx.doi.org/10.1016/S0957-4158(99)00079-3.

  • B. Rajkumar, P. Lakshmi and S. Rajendiran. 2015. Vibration control of quarter car integrated seat suspension with driver model for different road profiles using fuzzy based sliding mode controller, IEEE 7th Int.Conf. Advanced Computing, 1-6. https://doi.org/10.1109/ICoAC.2015.7562787.

  • S. Rajendiran and P. Lakshmi. 2016. Simulation of PID and fuzzy logic controller for integrated seat suspension of a quarter car with driver model for different road profiles, J. Mechanical Science and Tech., 30(10), 4565-4570. http://dx.doi.org/10.1007/s12206016-0927-6.

  • C. Edwards and S.K. Spurgeon. 1998. Sliding Mode Control Theory & Applications, Taylor & Francis, USA.

  • E.J.J. Slotine and W. Li. 1991. Applied Nonlinear Control, Prentice Hall, New Jersey.

  • A.J. Barr and J.I. Ray. 1996. Control of an active suspension using fuzzy logic, Proc. 5th IEEE Int. Conf.Fuzzy Systems, 1, 42-48. https://doi.org/10.1109/FUZZY.1996.551717.

  • T.C. Lin, T.Y. Lee and V.E. Balas. 2011. Adaptive fuzzy sliding mode control for synchronization of uncertain fractional order chaotic systems, Chaos, Solutions and Fractals, 44(10), 791-801. http://dx.doi.org/10.1016/j.chaos.2011.04.005.

  • Y. Tang, X. Zhang, D. Zhang, G. Zhao and X. Guan. 2013. Fractional order sliding mode controller design for antilock braking systems, Neurocomputing, 111, 122-130. http://dx.doi.org/10.1016/j.neucom.2012.12.019.

  • N. Ullah, W. Shaoping, M.I. Khattak and M. Shafi. 2015. Fractional order adaptive fuzzy sliding mode controller for a position servo system subjected to aerodynamic loading and non-linearities, Aerospace Science & Tech., 43, 381-387. http://dx.doi.org/10.1016/j.ast.2015.03.020.

  • Y. Long and L. Li. 2015. Fuzzy fractional order sliding mode control for automatic clutch of vehicle AMT, Int. J.Smart Home, 9(2), 53-68. http://dx.doi.org./10.14257/ijsh.2015.9.2.05.

  • K. Rajagopal and L. Ponnusanny. 2014. Multi objective optimization of vehicle active suspension system using DEBBO based PID controller, Int. J. Engg. and Tech., 6(1), 252-262.


Abstract Views: 335

PDF Views: 205




  • Reduction of Body Acceleration in the Quarter Car Model Using Fractional Order Fuzzy Sliding Mode Controller

Abstract Views: 335  |  PDF Views: 205

Authors

S. Rajendiran
College of Engg., Anna University, Chennai, India
P. Lakshmi
College of Engg., Anna University, Chennai, India
B. Rajkumar
College of Engg., Anna University, Chennai, India

Abstract


Vehicle vibration can be controlled by Active Suspension System (ASS). The performances of ASS are better than the conventional Passive Suspension System (PSS). The effectiveness of ASS is based on the type of controllers used. In this paper, a quarter car model with ASS is considered for analysis. To reduce the vibration and improve the ride quality, Fractional order Fuzzy Sliding Mode Controller (FrFSMC) is proposed and its performances are compared with Fuzzy Sliding Mode Controller (FSMC) and passive system. While testing the performance of the controllers three types of road disturbances are given to the quarter car model to stimulate the vibration. The results of the proposed controllers are also compared against the existing Gray Fuzzy Sliding Mode Controller (GFSMC). From the time responses and ischolar_main mean square indices, FrFSMC performs better than the FSMC, GFSMC and PSS.

Keywords


Active Suspension System, Fractional Order Fuzzy Sliding Mode Control, Fuzzy Sliding Mode Control, Quarter Car Model, Vibration Control.

References





DOI: https://doi.org/10.4273/ijvss.9.2.13