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On-line optimization control method for tram

A technology for optimal control of trams, applied in adaptive control, general control systems, control/regulation systems, etc., can solve problems such as ignoring the comfort of trains, and achieve the effect of speeding up convergence and facilitating processing

Active Publication Date: 2019-03-29
SOUTHWEST JIAOTONG UNIV
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Problems solved by technology

The existing tram driving control belongs to the semi-active mode, that is, the train drives automatically after the driver closes the door and starts, and the punctuality of the train is mainly guaranteed during the driving process, and the comfort of the train is largely ignored; it is impossible to ensure punctuality Under the premise, it can also bring a better riding experience

Method used

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  • On-line optimization control method for tram

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Embodiment Construction

[0066] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further elaborated below in conjunction with the accompanying drawings.

[0067] In this example, see figure 1 As shown, the present invention proposes a kind of trolley car online optimal control method, comprises steps:

[0068] S100, collecting and recording the actual operating parameters of the tram line, and performing cluster processing on the parameter data to obtain line parameter samples;

[0069] S200, based on the expected requirements of the line, use the neural network to train line parameter samples, and output control parameters to ensure the punctuality and comfort of the train;

[0070] S300, adjust the train operation parameters in real time according to the control parameters, and perform energy recovery braking at the same time.

[0071] As an optimization scheme of the above-mentioned embodiment, such as figure 2 and ...

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Abstract

The invention discloses an online optimization control method for a tram. The method comprises the steps of: collecting and recording actual operating parameters of the tram line, and clustering parameter data to obtain a line parameter sample; using the neural network to train the line parameter sample based on line expectation requirements, and outputting the control parameters for ensuring thepunctuality and the comfort of the train; adjusting the train operating parameters in real time according to the control parameters, and simultaneously performing energy recovery braking. The method can bring the best riding experience under the premise of ensuring the punctuality, and greatly optimizes the driving comfort and the punctuality of the tram.

Description

technical field [0001] The invention belongs to the technical field of trams, in particular to an online optimization control method for trams. Background technique [0002] Urban rail transit is the main way to solve urban expansion and traffic pressure in my country's core cities at this stage. Among the many urban rail transit tools, modern rail transit such as subways and light rails have higher requirements for city size and population volume. Large cities It has such operational capabilities, but for medium-sized cities around the city circle, it often does not have such conditions. The medium-capacity tram is an effective supplement to the modern rail transit field by virtue of its technical characteristics such as low cost, high carrying efficiency and environmentally friendly electric drive. [0003] In the future urban system, especially under the characteristics of the siphon effect of large and medium-sized cities in my country, more systematic and diversified ur...

Claims

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Application Information

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IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 戴朝华安琪时方力刘禺贝郭爱
Owner SOUTHWEST JIAOTONG UNIV
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