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Hydraulic support electro-hydraulic adaptive control system based on BP neural network model

A BP neural network, self-adaptive control technology, applied in mine roof supports, pillars/supports, mining equipment, etc., can solve problems such as poor adaptability of hydraulic support control systems to the environment, and achieve the effect of improving adaptability

Active Publication Date: 2019-01-01
BEIJING TIANMA INTELLIGENT CONTROL TECH CO LTD +1
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Problems solved by technology

[0005] The technical problem to be solved by the present invention is that the existing hydraulic support control system has poor adaptability to the environment, thereby providing a hydraulic support electro-hydraulic adaptive control system based on BP neural network model

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  • Hydraulic support electro-hydraulic adaptive control system based on BP neural network model
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  • Hydraulic support electro-hydraulic adaptive control system based on BP neural network model

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Embodiment Construction

[0027] In order to make the above objects, features and advantages of the present invention more comprehensible, the specific implementation manners of the present invention will be described in detail below in conjunction with the accompanying drawings. In the description of the present invention, it should be noted that the terms "first", "second", and "third" are used for description purposes only, and should not be understood as indicating or implying relative importance. Unless otherwise specified and limited, the terms "installation", "connection" and "connection" should be understood in a broad sense, and those skilled in the art can understand the specific meanings of the above terms in the present invention in specific situations.

[0028] Embodiments of the present invention provide a hydraulic support electro-hydraulic adaptive control system based on BP neural network model, such as figure 1 As shown, including support controller 1, sensor 2, BP neural network mode...

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Abstract

The invention provides a hydraulic support electro-hydraulic adaptive control system based on a BP neural network model. A sensor detects working state parameters of a hydraulic support and environmental state parameters of the working face; the BP neural network model receives the working state parameters of the hydraulic support, the environmental state parameters of the working face, operationparameters of a coal mining machine and liquid supply parameters of a pump station, and determines ideal control target parameters and outputs the ideal control target parameters; an adaptive regulator obtains the error value between the ideal control target parameters and the working state parameters of the hydraulic support; and a support controller obtains the error value, the operation parameters of the coal mining machine and the liquid supply parameters of the pump station to determine action parameters of the hydraulic support, and thus the action of the hydraulic support is controlled.According to the hydraulic support electro-hydraulic adaptive control system, by analyzing the main factors affecting control over the hydraulic support in the working face, the BP neural network model of the hydraulic support system is constructed, by combining with the adaptive regulator, on-line optimization of the hydraulic support electro-hydraulic control system is achieved, and the adaptability of the hydraulic support electro-hydraulic control system is improved to the uttermost extent.

Description

technical field [0001] The invention relates to the technical field of electro-hydraulic control of a hydraulic support of a fully mechanized caving face in a coal mine, in particular to an electro-hydraulic self-adaptive control system of a hydraulic support based on a BP neural network model. Background technique [0002] The hydraulic support electro-hydraulic control system has been widely used in coal mines in my country, and more than 100 new support electro-hydraulic control systems are put into use every year. However, the hydraulic support electro-hydraulic control system varies greatly in different mining areas. The main reason is that the electro-hydraulic control system of the hydraulic support has insufficient adaptive capacity design. [0003] The fully mechanized mining face is an approximately rectangular stope. In this stope, the coal shearer cuts and breaks coal to open up a new working space; the hydraulic support supports the stope, providing reliable supp...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): E21D15/45E21D15/50E21D23/08E21D23/12
CPCE21D15/45E21D15/50E21D23/08E21D23/12
Inventor 牛剑峰李首滨韦文术魏文艳李俊士付振吴桐姚钰鹏林恩强
Owner BEIJING TIANMA INTELLIGENT CONTROL TECH CO LTD
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