Automotive braking system simulations V diagram approach

  • Authors

    • Dankan V. Gowda VTU
    • Ramachandra A C vtu
    • Thippeswamy M N vtu
    • Pandurangappa C VTU
    • Ramesh Naidu P
    2018-08-21
    https://doi.org/10.14419/ijet.v7i3.15666
  • V-Model, Loop Simulation, Vehicle Model, Auto- Motive, Hydraulic.

  • Abstract

    This Paper focus, on the different stages associated with the advancement of Automobile Braking Control system. Different V-Models (SIL, MIL, HIL, and DIL) are contrasted with the proposed V model for Hydraulic antilock braking system. The main objective of this research is to enable various loop simulations used in a variety of automotive industries, in order to analyze the performance of different safety functions. A vehicle model is used to represent a real vehicle in a model-based environment. Vehicle model is a sophisticated component, which makes use of two wheeler dynamics concepts to achieve a real vehicle behavior. In this research, an attempt is made to elaborate the various automotive simulations used starting from model in loop simulation to Driver in loop Simulation approaches followed by a V-diagram approach to develop the product. Here an ABS controller is taken as an example model for simulation.

     

  • References

    1. [1] J. Y. Wong, (2004), Theory of Ground Vehicles fourth edition, Wiley Publications.

      [2] Jason Mowry.(2006) Modeling and Simulation in Embedded Systems for-off-Highwayvehicles. http://ww2.distek.com/uploads/common/DISTekModelingandSimulation WhitePaper.pdf.

      [3] Bleckman, H.-W., and Rosen K., (1986), Traction Control System with Teves ABS Mark II,Proc.Soc. Automot. Eng., Paper No. 860506, pp123-130.

      [4] H. Mirzaeinedjad,and M. Mirzaei., (2012), A novel method for non-linear control of wheel slip in anti-lock braking systems, Control Engineering-Practice-vol.18,pp.918-926.

      [5] S. B. Choi, (2008), Antilock Brake System with a Continuous Wheel Slip Control to Maximize the Braking Performance and the Ride Quality, IEEE Transaction on Control Systems Technology, vol. 16, no. 5, pp211-220.

      [6] K.Z. Rangelov, (2014), SIMULINK Model of a Quarter-Vehicle with an Antilock Braking System, Master’s Thesis-Eindhoven: Stan Ackermans Institute,Eindverslagen Stan Ackermans Institute. Pp1-154.

      [7] A.B. Sharkawy, (2010), Genetic fuzzy self-tuning PID controllers for antilock braking system, Engineering Applications of Artificial Intelligence,-vol.23,pp.1041-1052.

      [8] A. V. Talpov, E. Kayancan, Y. Onit and O. Kaynak, (2012) Nero-fussy control of ABS using variable structure-system based algorithm, Int. Conf. On Adaptive and Intelligent System, IEEE Comput Society, DOI 10.1.1109, ICAIS.2009.35, pp.166-171.

      [9] C. B. Patil and R. G. Longoria, (2017), Modular design and testing of antilock brake actuation and control using a scaled vehicle system, Int. J. of vehicle system modeling and testing, vol.2,pp. 411-427.

      [10] C. K. Huang , and H. C. Shih, (2013) Design of a hydraulic ABS for a motorcycle, J Mech Science Technology, vol.24, pp. 131-141.

      [11] V Dankan Gowda., A.C Ramachandra.,(2017) “Slip ratio Control of Anti-lock Braking System with Bang-Bang Controller,†International Journal of Computer Techniques, vol 4, issue 1, pp. 97-104.

      [12] Y. Onit, E. Kayacan, and O. Kaynak, (2016) A dynamic method to forecast wheel slip for ABS and its experimental evaluation, IEEE Trans. System, Man and Cybernetics, Part B: cybernetics, vol 39, pp 551-560.

      [13] Dankan V Gowda., and Sadashiva Chakrasali., (2014)“Comparative Analysis of Passive and Semi-active Suspension System for Quarter Car Model using PID Controller,†Int. Conf. on Recent Trends in Signal Processing, Image Processing and VLSI(ICrSIV), pp.510-517, Bangalore, India.

      [14] Hanselmann, H. (1998). Development speed up for electronic control systems Convergence Dearborn, USA. Vol.3. pp.184-190

      [15] Dankan V Gowda., Ramachandra A.C.,(2018) “Importance of Non-Linear Controller in Implementing Anti-Lock Braking System-A Technical Review,†International Journal of Advanced Research in Computer Science, vol. 9, issue 2, pp. 193-199.

      [16] Isermann, R. (1996). On the design and control of mechatronic systems a survey. IEEE Transactions on Industrial Electronics, 43(1), pp.405-415.

      [17] D.V.Gowda, D.V.Kishore, Shivashankar, A.C. Ramachandra, and C. Pandurangappa, (2016) “Optimization of motorcycle pitch with nonlinear control,†in Proceedings of the 1st IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology (RTEICT), pp.1656-1660, Bangalore, India.

      [18] Lean, G., Heffernan, D., Dunne, A., (1999) Digital networks in the automotive vehicle. IEEE Computing. Control Eng. 10 (6), pp.257-266.

      [19] Dankan.V.Gowda.,-Kishore-D.V.,-Ramachandra-A.C., -Pandurangappa.C., (2016) “Two wheeler Vehicle Model Development for Driving Simulator Application,†GIT Journal of Engineering and Technology, vol.9, issue.1, pp.47-51.

      [20] Praveen Kumar., Jegan. A, (2015) Systematic Approach in V-Model Development Cycle for an Automotive Embedded Control System, Journal of Advance in Electronic and Electric Engineering. ISSN 2231-1297, Vol.3, No.4, pp.465-470.

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  • How to Cite

    V. Gowda, D., A C, R., M N, T., C, P., & Naidu P, R. (2018). Automotive braking system simulations V diagram approach. International Journal of Engineering & Technology, 7(3), 1740-1744. https://doi.org/10.14419/ijet.v7i3.15666

    Received date: 2018-07-15

    Accepted date: 2018-08-13

    Published date: 2018-08-21