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Research On Anti-Load Disturbance For Suspension System Of EMS Maglev Train

Posted on:2011-10-16Degree:MasterType:Thesis
Country:ChinaCandidate:L WeiFull Text:PDF
GTID:2132330338990126Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
Because of the geometric constraints and dynamic constraints between the train and track, the electromagnet will meet several load disturbances when maglev train is running on the curve track. These disturbances will influence the performance of suspension control system, even make the system lose stability. This paper aims at improving the anti-jamming capability of suspension control system according to the disturbance in engineering. Analyzing the source of the load disturbance and improving the chopper and the algorithm. The main content of this paper are summarized as following.1. The single-point maglev model is built including load disturbance, and transfer function of disturbance power and gap is deduced later. The anti-jamming capability is studied by analyzing the gap fluctuation with disturbances of different amplitudes. The influence of chopper saturation to the anti-jamming capability of suspension control system is also discussed.2. Combined with the characteristic of vehicle walking mechanism and track line, the geometry relation and dynamics relation among air spring, yawing and tack is described with mathematical formulas. By analyzing relation among radius of track curve, vehicle speed and load, the coupling force of bogie and the pressure of air spring are calculated respectively.3. With anti-jamming capability is designed in the base of state feedback algorithm. Negative acceleration feedback and positive current feedback are adopted to compensate disturbances, and then the effectiveness of algorithm is validated with experiments. Simulation and experiment results show that gap disturbance is restrained obviously in the same disturbance condition with the designed algorithm.
Keywords/Search Tags:Maglev train, Suspension control, Curve tack, Anti-jamming, Acceleration feedback, Current feedback
PDF Full Text Request
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