Passenger Seat Vibration Control of Quarter Car System with MR Shock Absorber
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Passenger Seat Vibration Control of Quarter Car System with MR Shock Absorber

Authors: Devdutt, M. L. Aggarwal

Abstract:

Semi-active Fuzzy control of quarter car system having three degrees of freedom and assembled with magneto-rheological (MR) shock absorber is studied in present paper. First, experimental work was performed on an MR shock absorber under different excitation conditions to obtain force-displacement and force-velocity curves. Then, for the application of experimental data in semi-active quarter car system, a polynomial model was selected. Finally, Fuzzy logic controller was designed having the combination of Forward fuzzy controller and Inverse fuzzy controller for integration in secondary suspension system of concerned model. The proposed controlled quarter car model was compared with uncontrolled system using simulation work under bump type of road excitation. Results obtained by simulation work shows the effectiveness of fuzzy controlled suspension system in improving the ride comfort and safety of travelling passengers compared to uncontrolled suspension system.

Keywords: MR shock absorber, three degrees of freedom, quarter car model, fuzzy controller.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1092992

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[1] Carlson, J. D., and J. L. Sproston,, "Controllable Fluids in 2000- Status of ER and MR Fluid Technology”, Proc. of Actuator 2000, Bremen, 126-130, 2000.
[2] G.Z. Yao et al., "MR damper and its application for semi-active control of vehicle suspension system”, Mechatronics, Vol. 12, Issue 7, 963–973, 2002.
[3] C.Y. Lai, W.H. Liao, "Vibration control of a suspension system via a magnetorheological fluid damper”, Journal of Vibration and Control, Vol. 8, Issue 4, 527–547, 2002.
[4] A. Hac and I. Youn, "Optimal semi-active suspension with preview based on a quarter car model”, Trans. ASME, J. Vib. Acoust., Vol. 114, Issue 1, 84–92, 1992.
[5] M.M. ElMadany and Z.S. Abduljabbar, "Linear quadratic Gaussian control of a quarter-car suspension”, Veh. Syst. Dyn.,Vol. 32, Issue 6, 479–497, 1999.
[6] S.B. Choi,Y.T. Choi, and D.W. Park, "A sliding mode control of a full-car electrorheological suspension system via hardware-in-the-loop simulation”, Trans. ASME, J. Dyn. Syst. Meas. Control, Vol. 122, Issue 1, 114–121, 2000.
[7] M. Ahmadian and C.A. Pare, "A quarter-car experimental analysis of alternative semiactive control methods”, J. Intell. Mater. Syst. Struct., Vol. 11, Issue 8, 604–612, 2000.
[8] M. Yokoyama, J.K. Hedrick, S. Toyama, "A model following sliding mode controller for semi-active suspension systems with MR dampers”, in: Proceedings of the American Control Conference, 2652–2657, 2001.
[9] K.C. Schurter and P.N. Roschke, "Neuro-fuzzy control of structures using acceleration feedback”, Smart Mater. Struct,.Vol. 10, Issue 4, 770–779, 2001.
[10] V.S. Atray and P.N. Roschke, "Neuro-fuzzy control of railcar vibrations using semiactive dampers”, Comput. Aided Civil Infrastruct. Eng., Vol. 19, Issue 2, 81–92, 2004.
[11] I. Fialho and G.J. Balas, "Road adaptive active suspension design using linear parameter-varying gain scheduling”, IEEE Trans. Control Syst. Technol., Vol. 10, Issue 1, 43–54, 2002.
[12] S.B. Choi, H.S. Lee, and Y.P. Park, "H∞ control performance of a full-vehicle suspension featuring magnetorheological dampers”, Veh. Syst. Dyn., Vol. 38, Issue 5, 341–360, 2002.
[13] H.P. Du, K.Y. Sze, and J. Lam, "Semi-active H-infinity control of vehicle suspension with magneto-rheological dampers”, J. Sound Vib,. Vol. 283, Issue 3–5, 981–996, 2005.
[14] Y.Liu, T.Waters, M.Brennan, "A comparison of semi- active damping control strategies for vibration isolation of harmonic disturbances”, Journal of Sound and Vibration, Volume 280, Issue 1-2, 21–39, 2005.
[15] M.Yu, C.R. Liao,W.M. Chen, and S.L. Huang, "Study on MR semi-active suspension system and its road testing” , J. Intell. Mater. Syst. Struct., Vol. 17, Issue 8–9, 801–806, 2006.
[16] M.Yu, X.M. Dong, S.B. Choi, and C.R. Liao, "Human simulated intelligent control of vehicle suspension system with MR dampers”, J. Sound Vib., Vol. 319, Issue 3–5, 753–767, 2009.
[17] Schurter K C and Roschke P N, "Fuzzy modeling of a magnetorheological damper using ANFIS”, Proc. 9th IEEE Int. Conf. on Fuzzy Systems, Vol. 1, 122–7, 2000.
[18] Schurter K C and Roschke P N, "Neuro-fuzzy control of structures using magnetorheological dampers”, Proc. American Control Conf., Vol. 2, 1097–102, 2001.
[19] Atray V S and Roschke P N, "Neuro-fuzzy control of railcar vibrations using semiactive dampers”, Comput.-Aided Civil Infrastruct. Eng., Vol. 19, 81–92, 2004.
[20] Choi S B, Lee S K and Park Y P, "A hysteresis model for the field-dependent damping force of a magnetorheological damper”, J. Sound Vib., Vol. 245, 375–83, 2001.
[21] Jin G, Sain et al., "Modeling MR-dampers: a nonlinear blackbox approach”, Proc. American Control Conf., Vol. 1, 429–34, 2001.
[22] Jin G, Sain M K and Spencer B E Jr, "Nonlinear blackbox modeling of MR-dampers for civil structural control”, IEEE Trans. Control Syst. Technol., Vol. 13, 345–55, 2005.
[23] Savaresi S M, Bittanti S and Montiglio M, "Identification of semi-physical and black-box non-linear models: the case of MR-dampers for vehicles control”, Automatica, Vol. 41, 113–27, 2005.
[24] Chang C. C. and Roschke P., "Neural network modeling of a magnetorheological damper”, J. Intell. Mater. Syst. Struct., Vol. 9, 755–64, 1998.
[25] Chang C. C. and Zhou L., "Neural network emulation of inverse dynamics for a magnetorheological damper”, J. Struct. Eng. ASCE, Vol. 128, 231–9, 2002.
[26] Wang X, Chang C C and Du F, "Achieving a more robust neural network model for control of a MR damper by signal sensitivity analysis”, Neural Comput. Appl., Vol. 10, 330–8, 2002.
[27] Jin G, Sain M K and Spencer B F Jr, "Modeling MR-dampers: the ridgenet estimation approach”, Proc. 2002 American Control Conf. 3, 2457–62, 2002.
[28] Atray V S and Roschke P N, "Design, fabrication, testing and fuzzy modeling of a large magnetorheological damper for vibration control in a railcar”, Proc. 2003 IEEE/ASME Joint Rail Conf., 223–9, 2003.
[29] Koga K and Sano A, "Query-based approach to prediction of MR damper force with application to vibration control”, Proc. American Control Conf., 3259–65, 2006.
[30] Wen, Y. K., "Method for random vibration of hysteretic systems”, J. Engineering Mechanics Division, ASCE, Vol. 102(EM2, 249–263), 1976.
[31] R. Stanway, J.L. Sproston, and N.G. Stevens, "Non-linear modelling of an electro-rheological vibration damper”, J. Electrost., No, 20, Vol. 2, 167–184, 1987.
[32] B.F. Spencer et al., "Phenomenological model for magnetorheological dampers”, J. Eng. Mech. ASCE, Vol. 123, Issue 3, 230–238, 1997.
[33] N.M.Wereley, L. Pang, and G.M. Kamath, "Idealized hysteresis modeling of electrorheological and magnetorheological dampers”, J. Intell. Mater. Syst. Struct., Vol. 9, Issue 8, 642–649, 1998.
[34] W.H. Li et al., "Testing and steady state modeling of a linear MR damper under sinusoidal loading”, Smart Mater. Struct., Vol. 9, Issue 1, 95–102, 2000.
[35] R. Jimnez and L. Alvarez, "Real time identification of structures with magnetorheological dampers”, 41st IEEE Conference on Decision and Control, Las Vegas, NV, 2002.
[36] Q. Zhou, S. R. K. Nielsen, and W.L. Qu, "Semi-active control of three-dimensional vibrations of an inclined sag cable with magnetorheological dampers”, J. Sound Vib., Vol. 296, Issue 1–2, 1–22, 2006.
[37] N.M. Kwok et al., "A novel hysteretic model for magnetorheological fluid dampers and parameter identification using particle swarm optimization”, Sens. Actuator A, Phys., Vol. 132, Issue 2, 441–451, 2006.
[38] Dinh Quang Truong, and Kyoung Kwan Ahn, "Identification and application of black-box model for a self-sensing damping system using a magneto-rheological fluid damper”, Sensors and Actuators A: Physical, Vol. 161, Issue 1-2, 305–321, 2010.