Iterative learning method for intelligent train operation control in high speed railway

• Faculty/School:Southwest Jiaotong University
• Publisher:China Railway Publishing House
• Description of Publication:This book through the train operation optimization to meet the requirements of the train under the overall energy saving.Based on the characteristics of repeated running of high-speed trains, the iterative learning control theory is applied to the controller design of high-speed trains.Considering a class of nonlinear parametric strict feedback systems with state delay, an adaptive iterative learning control scheme is designed to solve the given reference trajectory tracking problem.Considering the adhesion dynamics between wheel and rail and the uncertainty of spatial variation, a new spatial iterative control scheme for high-speed trains is designed.For the high-speed train tracking control problem with input constraints, the given reference displacement and velocity can be accurately tracked by the adaptive iterative learning control of the multi-particle model, and the estimation of unknown time-varying parameters is constantly corrected by learning during the iterative running pro
• The First Author:Feng Xiaoyun
• Type of Works:monographs
• Publication Design:Local press
• Classification of Disciplines:Engineering
• ISBN No.:9787113273972
• Translated or Not:no
• Date of Publication:2020-12-01
• Co-author:Huang Deqing