基于扩展多参量的液压支架立柱载荷预测方法研究

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中图分类号：TD355.3 文献标志码：A

Abstract： Inorder to establish the mapping relationship between the hydraulic support column load and its dynamicresponsecharacteristics，andtorealize dynamicpredictionof thecolumn load，a hydraulicsupport column load prediction method based on extended response characteristic parameters was proposed. The highfrequency switching of the sliding mode surface of the sliding mode diferentiator was used to filter out the measurement noise from the displacement and pressure signals of the column.Through derivative extraction， the dynamic response parameters were extended into fiveresponse characteristic parameters： displacement，velocity， acceleration，pressure，and pressure changerate.These five parameters were input intoa BP neuralnetwork-based hydraulic supportcolumn load prediction model to predict the column load.AnAMESim-Simulink co-simulation model of the hydraulic support column was built to analyze the dynamic response characteristics of the column under diferent levels of impact dynamic loads，the correspondence between the column load and its extended characteristicparameters，and the performance of the BP neural network prediction model based on extended multi-parameters.The simulation results showed that the estimation accuracy of the sliding mode diferentiator for the measured displacement and pressure signals of the column was 98.73% and 92.95% ， respectively. In five load prediction tests，the BP neural network prediction model based on extended multi-parameters had an average prediction accuracy of 97.2% and an average prediction error of 34.39kN ，which was an improvement of 31.97% （20 overthe BP neural network prediction model based on measured signals.

Key words： hydraulic support column; roof impact load; column load; sliding mode differentiator; BP neural network

0引言

液压支架是采煤工作面支撑顶板、保护安全作业空间的设备，支架与顶板耦合形成“支架-围岩动态平衡系统[]。（剩余13116字）