Using wavelet analysis and cloud model to optimized adhesion control of electric locomotives
Shuang Chen · Jisuanji yingyong yanjiu · 2009
This paper analyzed the principal theory of adhesion control system for the electric locomotives.Developed the simulative model of the locomotive traction system considering the characteristics of adhesion,denoised denoised the circumferential velocity of the wheel using wavelet analysis.The trend of wheel slipping could be identified reliably.The cloud model integrated the fuzziness and randomness and could achieve the transformation between qualitative and quantitative knowledge.Using cloud model method,designed the anti-slip re-adhesion controller to solve the nonlinear and uncertainties of the locomotive traction system.The proposed adhesion controller contrasted with conventional methods,can suppress the slipping of the wheel efficiently and realize optimized readhesion control.