Jun Liu, Wei Li, Lijun Jin, Guobin Lin, Yan Sun, Zhiwei Zhang
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引用次数: 4
Abstract
An equivalent circuit method (ECM) is developed to analyse the linear eddy current braking system (ECBS) of the maglev train. The distribution of eddy current in the rail is represented by dividing the rail into a series of small segments in which the current is assumed to be uniform. Each segment is described as an equivalent circuit with parameters of resistance and inductance. The circuit parameters, such as self-inductance and mutual inductance, are evaluated from the geometry parameters using an analytic method. The state equation derived from the circuit equations and the Newton's equations is solved using the Runge–Kutta method, from which the dynamic performance of the linear ECBS can be obtained. The accuracy and efficiency of the proposed ECM are verified by comparing the results with the one obtained from the finite element method. By adopting the developed ECM, the influence of parameters, such as speed, the exciting current and air gap of the linear ECBS, are analysed. The variation law of the linear ECBS with parameters is roughly grasped.
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.