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Performance Analysis of Semi-active Suspension System Based on Suspension Working Space and Dynamic Tire Deflection

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Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Abstract

Vehicle handling and ride comfort are very important characteristics that influence the riding quality of the vehicle which depends on suspension. Semi-active suspension has the performance in between the active and passive suspension. In semi-active suspension system, damping coefficient changes according to the displacement and velocity of sprung and unsprung mass. There are various control strategies which decide requirement of damping coefficient for ride comfort and vehicle handling at various excitation frequencies. A fuzzy logic control strategy has been developed and compared with skyhook, groundhook, and hybrid control strategies. For the analysis, two degree of freedom quarter car model is used and simulated in MATLAB Simulink. The performance analysis has been done for two road profiles, namely bump and sine wave at 2.5 and 11 Hz frequencies, which are critical for ride comfort and vehicle handling, respectively. The results for body displacement, wheel displacement, suspension working space, and dynamic tire deflection have been compared for various control strategies. The analysis shows that skyhook control improves ride comfort for the results of maximum peak-to-peak body displacement with 23.91% improvement than that of the passive suspension model. While groundhook control improves vehicle stability for the results of maximum peak-to-peak wheel displacement and dynamic tire deflection which has improvement of about 44.81 and 12.7%, respectively, when compared with passive suspension model. Whereas hybrid control strategy improves the ride comfort as well as road stability depending upon the controller gain. Fuzzy logic control gives the optimized performance for ride comfort and vehicle handling for all the frequencies.

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References

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Author information

Authors and Affiliations

  1. COEP-ARAI, Pune, India

    Jaydeep Funde & N. D. Dhote

  2. ARAI Academy, Pune, India

    K. P. Wani & S. A. Patil

Authors
  1. Jaydeep Funde
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  2. K. P. Wani
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  3. N. D. Dhote
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  4. S. A. Patil
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Corresponding author

Correspondence to Jaydeep Funde .

Editor information

Editors and Affiliations

  1. Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, India

    U. Chandrasekhar

  2. Department of Mechanical and Electromechanical Engineering, Tamkang University, Tamsui District, New Taipei City, Taiwan

    Lung-Jieh Yang

  3. Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, India

    S. Gowthaman

Appendix

Appendix

See Figs. 12, 13, 14, 15, 16, and 17.

Fig. 12
figure 12

Skyhook Simulink model

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Fig. 13
figure 13

Subsystem of skyhook controller

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Fig. 14
figure 14

Groundhook Simulink model

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Fig. 15
figure 15

Subsystem of groundhook controller

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Fig. 16
figure 16

Subsystem of hybrid controller strategy

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Fig. 17
figure 17

Simulink model of Fuzzy controller

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Funde, J., Wani, K.P., Dhote, N.D., Patil, S.A. (2019). Performance Analysis of Semi-active Suspension System Based on Suspension Working Space and Dynamic Tire Deflection. In: Chandrasekhar, U., Yang, LJ., Gowthaman, S. (eds) Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018). Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-13-2697-4_1

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  • DOI: https://doi.org/10.1007/978-981-13-2697-4_1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2696-7

  • Online ISBN: 978-981-13-2697-4

  • eBook Packages: EngineeringEngineering (R0)

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