Predicative control method for modeling and running speed of adaptive network-based fuzzy inference system (ANFIS) of high-speed train

Abstract

The invention provides a generalized predicative control method of a high-speed train based on an adaptive network-based fuzzy inference system (ANFIS) model. The method utilizes a data-driven modeling method to build the ANFIS model in a running process of the high-speed train according to acquired high-speed train running data; adopts subtractive clustering to determine rule number and initial parameters of a fuzzy model, and adopts a back-propagation algorithm and a least square method to optimize parameters of the fuzzy model. The predictive tracking control method of electric multiple unit running speed on the basis of the ANFIS model obtains accurate controlled quantity through multistep predication and circular rolling so as to change blindness of adjustment by experience, enables the high-speed train running speed to track a target curve accurately, solves the problem of large lag, achieves on-schedule, safe and effective running of the train, and guarantees safety of passengers. The method is simple, practical, capable of achieving automatic drive control of the high-speed train and suitable for on-line monitoring and automatic control of a running process of the high-speed train.

Description

[0001] technical field [0002] The invention relates to a high-speed train running process modeling and speed prediction tracking control method, and belongs to the technical field of high-speed train running process monitoring and automatic control. Background technique [0003] With the rapid development of society, the transportation volume continues to increase. In order to strengthen the construction of a modern comprehensive transportation system, according to the "Outline of the Twelfth Five-Year Plan for National Economic and Social Development", my country needs to vigorously develop high-speed railways and basically build national high-speed railways. net. High-speed trains are the core of the high-speed railway technology system and a comprehensive reflection of the country's relevant high-tech development level, related manufacturing capabilities, independent innovation capabilities, and national core competitiveness. The safety of train operation is the top pri...

AI Technical Summary

Problems solved by technology

There are literatures that use fuzzy neural network control to realize train running process tracking, and solve the problems of large number of fuzzy control rules and conflicts; the above control methods are mainly used in ordinary speed trains such as urban rail transit, and have not been applied to high-speed railways at present.

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