Fuzzy Logic Control of a Semi-Active Quarter Car System

Authors: Devdutt, M. L. Aggarwal

Abstract:

The development of vehicles having best ride comfort and safety of travelling passengers is of great interest for automotive manufacturers. The effect of transmitted vibrations from car body to passenger seat is required to be controlled for achieving the same. The application of magneto-rheological (MR) shock absorber in suspension system has been considered to achieve significant benefits in this regard. This paper introduces a secondary suspension controlled semi-active quarter car system using MR shock absorber for effective vibration control. Fuzzy logic control system is used for design of controller for actual damping force generation by MR shock absorber. Performance evaluations are done related to passenger seat acceleration and displacement in time and frequency domains, in order to see the effectiveness of the proposed semi-active suspension system. Simulation results show that the semi-active suspension system provides better results compared to passive suspension system in terms of passenger ride comfort improvement.

Keywords: Fuzzy logic control, MR shock absorber, Quarter car model, Semi-active suspension system.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1337025

References:

[1] A. Giua, C. Seatzu, and G. Usai, "Semiactive suspension design with an Optimal Gain Switching target”, Vehicle System Dynamics, Vol. 31, 213–232, 1999.
[2] K. J. Kitching, D. J. Cole, and D. Cebonc, "Performance of Semi-Active Shock absorber for Heavy Vehicles”, ASME Journal of Dynamic Systems Measurement and Control, Vol.122, 498-506, 2000.
[3] D. L. Guo, H. Y. Hu, and J. Q. Yi, "Neural network control for a semi-active vehicle suspension with a magnetorheological damper”, J. Vib. Control, Vol. 10, Issue 3, 461–471, 2004.
[4] Fang, X. et al., "Fuzzy control technology and the application to vehicle semi-active suspension”, Chinese J. Mech. Eng., Vol. 35, Issue 3, 98– 100, 1999.
[5] S.B. Choi, H.S. Lee, and Y.P. Park, "H-infinity control performance of a full-vehicle suspension featuring magnetorheological dampers”, Veh. Syst. Dyn., Vol. 38, Issue 5, 341–360, 2002.
[6] D. Karnopp, M. J. Croby, and R. A. Harwood, "Vibration control using semi-active force generators”, ASME Journal of Engineering for Industry, Vol. 96, Issue 2, 619–626, 1974.
[7] M. M. ElMadany and Z. S. Abduljabbar, "Linear quadratic Gaussian control of a quarter car suspension”, Vehicle System Dynamics, Vol. 32, Issue 6, 479–497, 1999.
[8] B. F. Spencer Jr., S. J. Dyke, M. K. Sain, and J. D. Carlson, "Phenomenological model for magnetorheological dampers”, Journal of Engineering Mechanics, Vol. 123, Issue 3, 230–238, 1997.
[9] N. M. Wereley, Li Pang, and G. M. Kamath, "Idealized hysteresis modelling of electrorheological and magnetorheological dampers”, Journal of Intelligent Material Systems and Structures, Vol. 9, Issue 8, 642–649, 1998.
[10] K.C. Schurter and P.N. Roschke, "Fuzzy modelling of a magnetorheological damper using ANFIS”, in: Proceedings of the IEEE International Conference on Fuzzy Systems, 122–127, 2000.
[11] S.B. Choi, S.K. Lee and Y.P. Park, "A hysteresis model for the field-dependent damping force of a magnetorheological damper”, Journal of Sound and Vibration, Vol. 245, Issue 2, 375–383, 2001.
[12] L. Alvarez and R. Jimenez, "Real-time identification of magneto-rheological dampers”, in: Proceedings of 15th IFAC, 2252–2258, 2002.
[13] C. Chang and L. Zhou., "Neural network emulation of inverse dynamics for a magnetorheological damper”, J. Struct. Eng. ASCE, Vol. 128, 231–239, 2002.
[14] Zadeh L.A., Fuzzy sets, Information and Control, 8: 338–353, 1965.