Evaluation of Levitation Control Performance of Maglev Train Based on Fractal Analysis

Abstract

AbstractAfter the maglev train suspension system works for a long time, the suspension control performance will decline. Accurate control performance evaluation of the suspension system can provide effective guidance for the optimization of the suspension system controller. In view of the non-Gaussian characteristics of the actual data of suspension system, many traditional performance evaluation methods based on Gaussian distribution assumption are no longer applicable. In this paper, we propose a method to evaluate the control performance of suspension system by using fractal persistence measure. This method uses time series with nonlinear dynamic fractal persistence measure and does not need prior knowledge of the object model. Then, combined with the Hurst index of R/S diagram of rescaled range method and the probability distribution function of Lévy α-stable distribution, the evaluation results of the optimal control performance of maglev train suspension system are discussed. Finally, combined with the analysis of the operation data of Changsha maglev train, the effectiveness of the proposed performance evaluation method for the optimal control performance evaluation of maglev train is verified.KeywordsFractal analysisPerformance evaluationHurt indexStable distribution