This paper presents the stability of a passenger vehicle system featuring magnetorheological (MR) suspensions. As a first step, MR damper is devised and its field-dependent damping force is experimentally evaluated. A full-car model equipped with the MR damper is established by considering roll motion which is directly related to the vehicle stability. A fuzzy neural network controller (FNNC) incorporated with the self-learn knowledge is then formulated in order to improve vehicle stability. In addition, in order to eliminate adverse effect of the system coupling, nonlinearity and time delay a correction component for updating the weighting matrix and adjusting controller outputs is designed. Both computer simulation and road test are undertaken in order to demonstrate the effectiveness of the proposed control method. The control results obtained in this work indicate that the proposed control scheme with the MR suspension can considerably improve the stability of vehicles with high performance in vibration isolation.
Ahmadian, M. and Christopher a.P.2000. ``A Quarter-Car Experimental Analysis of Alternative Semi-active Control Methods,''Journal of Intelligent Material Systems and Structures, 11(8):604-612.
2.
Ahmadian, M., Song, X. and Southward, S.C.2004. ``No-Jerk Skyhook Control Methods for Semiactive Suspension ,'' ASME Journal of Vibration and Acoustics, 126(4):580-584.
3.
Carlson, J.D. and Catanzarite et al. 1995. ``Commercial Magnetorheological Fluid Devices,''International Journal of Modern Physics B, 10(23-24):2857-2865.
4.
Choi, S.B., Lee, H.S. and Park, Y.P.2002. ``H∞ Control Performance of a Full-Vehicle Suspension Featuring Magneto-rheological Dampers,'' Vehicle System Dynamics , 38(5):341-360.
5.
Choi, S.B., Lee, S.K. and Park, Y.P.2001. ``A Hysteresis Model for the Field-dependent Damping Force of a Magnetorheological Damper,'' Journal of Sound and Vibration , 245(2):375-383.
6.
Dogruer, U., Gordaninejad, F., Evrensel, C.A.2003. ``A New Magneto-rheological Fluid Damper for High-mobility Multipurpose Wheeled Vehicle (HMMWV),'' In: Proceedings of SPIE Conference on Smart Materials and Structures, San Diego, March 2003.
7.
Dong, X.M., Yu, M., Huang, S.L., Li, Z. and Chen, W.M.2005. ``Half Car Magneto-rheological Suspension System Accounting for Nonlinearity and Time Delay,'' International Journal of Modern Physics B, 19(7-9):1381-1387.
8.
Eslaminasab, N., Biglarbegian, M., Melek, W.W., Golnaraghi, M.F.2007. ``A Neural Network Based Fuzzy Control Approach to Improve Ride Comfort and Road Handling of Heavy Vehicles using Semi-active Dampers ,'' International Journal of Heavy Vehicle Systems (IJHVS) , 14(2):135-157.
9.
Gavin, H.P.1998. ``Design Method for High-force Electrorheological Dampers ,'' Smart Materials and Structures, 7(5):664-673.
10.
Gordaninejad, F. and Kelso, S.P.2000. ``Fail-safe Magnetorheological Fluid Dampers for Off-highway, High-payload Vehicles,'' Journal of Intelligent Material Systems and Structures, 11(5):395-406.
11.
Guo, D.L., Hu, H.Y. and Yi, J.Q.2004. ``Neural Network Control for a Semi-Active Vehicle Suspension with a Magnetorheological Damper,'' Journal of Vibration and Control, 10(3):461-471.
12.
Hebb, D.1949. The Organization of Behavior, Wiley , New York.
13.
Holland, J.H.1962. ``Outline for a Logical Theory of Adaptive Systems , '' Journal of the Association for Computing Machinery, 9:297-314.
Lindler, J.E., Dimock, G.A. and Wereley, N.M.2000. ``Design of A Megnetorheological Automotive Shock Absorber,'' Proc. SPIE, 3985:426-437.
16.
Liu, Y., Gordaninejad, F., Evrensel, C., Karakas, S. and Dogruer, U.2004. ``Experimental Study on Fuzzy Skyhook Control of a Vehicle Suspension System Using a Magneto-Rheological Fluid Damper,''Industrial and Commercial Applications of Smart Structures Technologies, Proceedings of SPIE Conference on Smart Materials and Structures, Ed. by Jack H. Jacobs, 5388:338-347.
17.
Milecki, A.2001. ``Investigation and Control of Magnetorheological Fluid Dampers,'' International Journal of Machine Tools & Marufacture: Design , Research and Application, 41:379-391.
18.
Miller, L.R., Ahmadian, M., Nobles, C.M. and Swanson, D.A.1995. ``Modeling and Performance of an Experimental Active Vibration Isolator,''Trans. ASME, J. Vibration and Acoustics , 117(3):272-278.
19.
Sims, N.D., Peel, D.J., Stanway, R., Johnson, A.R. and Bullough, W.A.2000. ``The Electrorheological Long-stroke Damper: A New Modeling Technique with Experimental validation,'' Journal of Sound and Vibration, 229(2):207-227.
20.
Song, X., Ahmadian, M. and Southward, S.C.2003. ``An Adaptive Semiactive Control Algorithm for Vehicle Suspension Systems,''ASME 2003 International Mechanical Engineering Congress and Exposition, Washington, DC, November 16-21.
21.
Spencer, B.F., Dyke, S.J., Sain, M.K. and Carlson, J.D.1997. ``Phenomenological Model for Magnetorheological Dampers ,'' Journal of Engineering Mechanics, 123(3):230-238.
22.
Wang, D.H. and Liao, W.H.2005. ``Modeling and Control of Magneto-rheological Fluid Dampers Using Neural Networks, Smart Mater. Struct., 14(1):111-126.
23.
Wereley, N.M. and Li Pang.1998. ``Nondimensional Analysis of SemiActive Electrorheological and Magnetorheological Dampers Using Approximate Parallel Plate Models, '' Smart Materials and Structures, 7(5):732-743.
24.
Wereley, N.M., Kamath, G.M. and Madhavan, V.1999. ``Hysteresis Modeling of Semi-active Magnetorheological Helicopter Dampers,'' Journal of Intelligent Material Systems and Structures, 10(8):624-633.
25.
Xu, Z.-D., Shen, Y.-P. and Guo, Y.-Q.2003. ``Semi-active Control of Structures Incorporated with Magneto-rheological Dampers Using Neural Networks,'' Smart Mater. Struct., 12(1):180-187.
