Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

In-vehicle pressure fluctuation iterative learning control method based on condition and performance matching

An iterative learning control and internal pressure technology, applied in the direction of adaptive control, general control system, control/regulation system, etc., to achieve good control effect, increase convergence speed, and improve control performance

Active Publication Date: 2022-05-10
SOUTHWEST JIAOTONG UNIV
View PDF10 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem of iterative learning control of pressure fluctuations in high-speed trains under the repeated stimulation of tunnel pressure waves, the present invention provides an iterative learning control method for pressure fluctuations in cars based on condition and performance matching

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
  • In-vehicle pressure fluctuation iterative learning control method based on condition and performance matching
  • In-vehicle pressure fluctuation iterative learning control method based on condition and performance matching
  • In-vehicle pressure fluctuation iterative learning control method based on condition and performance matching

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] The present invention will be further described below in conjunction with the accompanying drawings and specific implementation methods.

[0040] An iterative learning control method for pressure fluctuations in the vehicle based on conditions and performance matching of the present invention is as follows: figure 1 shown. Specifically include the following steps:

[0041] Step 1: Establish a high-speed train historical operation database.

[0042] After the high-speed train is put into repeated operation, it will generate a large amount of repetitive data such as position information, vehicle speed information, tunnel pressure wave, internal pressure, air duct valve control amount, control error, and performance indicators. In order to better access and manage data, it is necessary to establish a high-speed train historical operation database according to certain rules, such as figure 2 shown. The rules are as follows: Bind the speed information and expected perfo...

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 an in-train pressure fluctuation iterative learning control method based on condition and performance matching, and the method specifically comprises the steps: firstly, building a historical operation database of a high-speed train, and then matching historical working condition information closest to the current operation working condition from the database through a condition and performance matching algorithm; according to the method, a high-speed train historical operation database is established, time scale changing processing and amplitude changing processing are conducted on historical control quantity information corresponding to the high-speed train historical operation database, then the historical control quantity information serves as initial control quantity to be input into an iterative learning controller, a valve is controlled, and finally after iteration is finished, the high-speed train historical operation database needs to be updated according to performance indexes. The in-vehicle pressure fluctuation can be effectively inhibited, the convergence speed and the control precision of the system can be improved, and the method has certain theoretical research value.

Description

technical field [0001] The invention belongs to the technical field of high-speed train interior pressure fluctuation control, and in particular relates to an iterative learning control method for interior pressure fluctuation based on condition and performance matching. Background technique [0002] When a high-speed train passes through a tunnel, severe tunnel pressure waves will be generated outside the train under the aerodynamic action of the train-tunnel coupling. The internal pressure changes. If the change rate of the air pressure in the car exceeds the human eardrum comfort standard limit, it will cause discomfort such as tinnitus, earache, dizziness, headache, etc., and even rupture the eardrum of the driver and passengers in severe cases. Therefore, in order to ensure the comfort and safety of drivers and passengers, it is necessary to adopt control methods to suppress pressure fluctuations in the vehicle. At present, the passive control method of closing the ve...

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): G05B13/04
CPCG05B13/042
Inventor 陈春俊杨露张敏屈国庆
Owner SOUTHWEST JIAOTONG UNIV
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
Eureka Blog
Learn More
PatSnap group products