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Semiactive Vibration Control of Train Suspension Systems via Magnetorheological Dampers

W. H. Liao

Smart Materials and Structures Laboratory, Department of Automation and Computer-Aided Engineering, The Chinese University of Hong Kong, N. T., Hong Kong

D. H. Wang

Smart Materials and Structures Laboratory, Department of Automation and Computer-Aided Engineering, The Chinese University of Hong Kong, N. T., Hong Kong

This paper is aimed to show the feasibility for improving the ride quality of railway vehicles with semiactive secondary suspension systems using magnetorheological (MR) dampers. A nine degree-of-freedom railway vehicle model, which includes a car body, two trucks and four wheelsets, is proposed to cope with vertical, pitch and roll motions of the car body and trucks. The governing equations of the railway vehicle suspension systems integrated with MR dampers are developed. To illustrate the feasibility and effectiveness of the controlled MR dampers on railway vehicle suspension systems, the LQG control law using the acceleration feedback is adopted as the system controller, in which the state variables are estimated from the measurable accelerations with the Kalman estimator. In order to make the MR dampers track the optimal damping forces, a damper controller to command the voltage to the current drivers for the MR dampers is proposed. The acceleration responses of the car body of the train vehicle with semiactive secondary suspension system integrated with MR dampers are evaluated under random and periodical track irregularities. This semiactive controlled system is also compared to the conventional passive suspension system using viscous dampers without MR dampers, and the secondary suspension system integrated with MR dampers in passive on and passive off modes. The simulation results show that the vibration control of the train suspension system with semiactive controlled MR dampers is feasible and effective.

Key Words: train suspension • magnetorheological damper • vibration control • semiactive control

Journal of Intelligent Material Systems and Structures, Vol. 14, No. 3, 161-172 (2003)
DOI: 10.1177/1045389X03014003004


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D. H. Wang and W. H. Liao
Semiactive Controllers for Magnetorheological Fluid Dampers
Journal of Intelligent Material Systems and Structures, December 1, 2005; 16(11-12): 983 - 993.
[Abstract] [PDF]