Train speed self-adaptive control method based on system parameter identification

A technology of self-adaptive control and system parameters, applied to locomotives, railway signals and safety, etc., can solve the problems that traditional control algorithms are not suitable, and achieve the effect of accurate identification and control results and optimal speed control

Active Publication Date: 2020-02-07
海风智能科技(浙江)有限公司
View PDF11 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, the train is a typical complex and time-varying system, and the traditional control algorithm is no longer applicable

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Train speed self-adaptive control method based on system parameter identification
  • Train speed self-adaptive control method based on system parameter identification
  • Train speed self-adaptive control method based on system parameter identification

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0060] The present invention will be further described in detail below in conjunction with the accompanying drawings.

[0061] Aiming at the controlled train whose system parameters change with time, the invention designs an identification algorithm to identify the system parameters of the train in real time, and then feeds back the deviation of the identification model to the adaptive PID controller based on the neural network, and at the same time constrains the system identification process and control As a result, train speed adaptive control is realized. The specific process includes: first, according to the mechanical analysis of the train and the torque analysis of the motor, the dynamic model of the train system is established; then, the parameters of the system are identified by the least square method to obtain a complete system model; finally, the design of the system based on BP neural network The adaptive PID speed controller of the system feeds back the residual ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a train speed self-adaptive control method based on system parameter identification, and belongs to the field of electric automobiles. The train speed self-adaptive control method comprises the steps that firstly, according to mechanical analysis of a train and torque analysis of a motor, a dynamical model of the train including undetermined parameters is established; thena plurality of groups of practical input and output data are collected to be used as fitting data of a least square method; and the parameters b and c to be distinguished corresponding to the minimumfitting deviation of the least square method are the undetermined parameters, and the complete dynamical model is obtained; and finally, according to the train running in real time and an establishedtrain travelling curve, the parameters in the dynamical model are adjusted through a neural network, the train speed is controlled in real time, and train speed self-adaptive control is realized. According to the train speed self-adaptive control method based on the system parameter identification, learning of the neural network can be restrained, a system identification module can further be restrained, and thus an identification result and a control result are more accurate.

Description

technical field [0001] The invention belongs to the field of electric vehicles and relates to a train speed adaptive control method based on system parameter identification. Background technique [0002] With the development of computer technology and automatic control theory, the function of automatic train control (ATC) system is becoming more and more perfect, which can replace the train driver to realize the safe and punctual operation of the train. The ATC system consists of three subsystems, which are ATP (Automatic Train Protection) system, ATS (Automatic Train Monitoring) system and ATO (Automatic Train Operation) system. [0003] The ATO system accepts the ground information and traffic control instructions from the ATP / ATS system to control the movement of the train, including acceleration, inertia, deceleration, parking and return operation control of the terminal station. An important function of the ATO system is to accurately control the speed of the train so ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): B61C17/00B61L23/14
CPCB61C17/00B61L23/14
Inventor 张辉陶斯友冯敏健李想
Owner 海风智能科技(浙江)有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap