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Fuzzy Sliding Mode Control of an MR Mount for Vibration Attenuation
Abstract:In this paper, an magnetorheological (MR) mount with fuzzy sliding mode controller (FSMC) is studied for vibration suppression when the system is subject to base excitations. In recent years, magnetorheological fluids are becoming a popular material in the field of the semi-active control. However, the dynamic equation of an MR mount is highly nonlinear and it is difficult to identify. FSMC provides a simple method to achieve vibration attenuation of the nonlinear system with uncertain disturbances. This method is capable of handling the chattering problem of sliding mode control effectively and the fuzzy control rules are obtained by using the Lyapunov stability theory. The numerical simulations using one-dimension and two-dimension FSMC show effectiveness of the proposed controller for vibration suppression. Further, the well-known skyhook control scheme and an adaptive sliding mode controller are also included in the simulation for comparison with the proposed FSMC.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1085519Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1411
 Karnopp, D., Crosby, M. J., and Harwood, R. A., 1974, "Vibration Control Using Semi-Active Force Generators," Journal of Engineering for Industry, Vol. 96, No.2, pp. 619-626.
 Tseng, H. E., and Hedrick, J. K., 1994, "Semi-Active Control LawÔÇöOptimal and Sub-Optimal," Vehicle System Dynamics, Vol. 23, No.7, pp. 545-569.
 Lu, Z., 2001, "Study on Active and Semi-Active Air-Spring Suspension Systems," Journal of the China Railway Society, Vol. 23, No. 1, pp. 33-38.
 Dyke, S. J., and Spencer, B. F., 1998, "Experimental Study of MR Dampers for Seismic Protection," Smart Mat. and Stru., Vol. 7, No. 5 , pp. 693-703.
 Kim, B., and Roschke, P., 1999, "Linearization of Magnetorheological Behavior Using a Neural Network," American Control Conference, Vol. 6, pp. 4501-4505.
 Yokoyama, M., Hedrick, J. K., and Toyama S., 2001,"A Model Following Sliding Mode Controller for Semi-Active Suspension Systems with MR Dampers," American Control Conference, Vol. 4, pp. 2652-2657.
 Shen, Y., Yang, S., and Liu, X., 2001, "Study on Improved Type of Semi-Active Car Suspension with Magnetorheological Damper," Journal of Vibration, Measurement & Diagnosis, Vol. 21, No. 4, pp. 253-257.
 Choi, S. B., Lee, H. S., and Park, Y. P., 2002, " ∞ H Control Performance of a Full-Vehicle Suspension Featuring Magnetorheological Dampers," Vehicle System Dynamics, Vol. 38, No. 5, pp. 341-360.
 Choi, S. B., Song, H. J., Lee, H. H., Lim, S. C., Kim, J. H. ,and Choi, H. J., 2003, "Vibration Control of a Passenger Vehicle Featuring Magnetorheological Engine Mount," International Journal of Vehicle Design, Vol. 33, No. 1-3, pp. 2-16.
 Mamdani, E. H., 1974, "Applications of Fuzzy Algorithms for Simple Dynamics Plants," Proc. IEE, Vol. 121, No.12 , pp. 1585-1588.
 Chorayan, O. G., 1984, "Neurophysiological Characteristics of the Fuzzy Logic of Problem-Solving," Cybernetics and Systems, Vol. 15, No. 3-4, pp. 205-208.
 Jang, J. S. R., and Sun, C. T., 1995, "Neuro-Fuzzy Modeling and Control," Proceedings of the IEEE, Vol. 83, No. 3, pp. 378-406.
 Kim, J., and Kasabov, N., 1999, "HyFIS: Adaptive Neuro-Fuzzy Inference Systems and Their Application to Nonlinear Dynamical Systems," Neural Networks, Vol. 12, No, 9, pp. 1301-1319.
 Lee, M., Lee, S. Y., and Park, C. H., 1993, "A New Neuro-Fuzzy Identification Model of Nonlinear Dynamic Systems," International Journal of Approximate Reasoning, Vol. 10, No. 1, pp. 29-44.
 Chen, C. L., and Chang, M. H., 1998, "Optimal Design of Fuzzy Sliding-Mode Control: A Comparative Study," Fuzzy Sets and Systems, Vol. 93, No. 1, pp. 37-48.
 Huang, S. J., and Lin, W. C., 2003, "Adaptive Fuzzy Controller with Sliding Surface for Vehicle Suspension Control," IEEE Transactions on Fuzzy Systems, Vol. 11, No. 4, pp. 550-559.
 Yu, F. M., Chung, H. Y., and Chen, S. Y., 2003, "Fuzzy Sliding Mode Controller Design for Uncertain Time-Delayed Systems with Nonlinear Input," Fuzzy Sets and Systems, Vol. 140, No. 2, pp. 359-374.
 Pan, R., Chang, Y.C., and Shaw, J., 2007, "Adaptive Control of an MR Mount for Vibration Attenuation," Proceedings of the ICSV 14, 9-12, July, Cairns, Australia.
 Takagi, T. and Sugeno, M., 1985, "Fuzzy Identification of Systems and Its Application to Modeling and Control", IEEE Trans. On System, Men, and Cybernetics, Vol. 15, No. 1, pp 116-132.