论文中文题名: | 自整定PID在采煤机自动控制中的研究与应用 |
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学号: | G12063 |
学生类型: | 工程硕士 |
学位年度: | 2018 |
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论文外文题名: | Research and application of self-tuning PID in automatic control of Shearer |
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论文外文关键词: | Shearer ; PLC ; Configuration software ; Memory-cutting ; Self-tuning PID |
论文中文摘要: |
采煤机电气控制系统智能化的设计,不仅有益于提升采煤机工作面的自动化生产水平,同时提高了工作面三机协同动作的可靠性,使煤矿工作面的开采更加智能化,真正实现工作面少人、无人化生产,增加工人的安全保障系数,而且可以提高采煤机使用的可靠性、降低安全事故发生、增加设备使用寿命等,对煤矿建设智能矿井也有着很大的促进作用。
本文首先分析了采煤机电气控制系统智能化研究的当前局势以及发展的趋势,通过查阅相关国内外资料,了解采煤机调高系统及牵引系统的控制原理及控制过程,对采煤机各个主要部件运行数据进行分析,为采煤机电气控制系统的设计和控制方式的研究奠定基础。通过对以往工作经验以及存在问题的分析,提出了以记忆截割为主、自整定PID控制为辅的新的控制策略,通过融合多传感器数据分析,实现采煤机滚筒采高及牵引速度智能调节的目的。要实现采煤机智能控制,必须确定采煤机自身姿态,即采煤机位置定位、滚筒采高定位、记忆截割路径规划及自动运行时采煤路径跟踪,本文针对这几方面关键技术进行深入研究,针对因工作面煤层变化引起的采煤机载荷的随机变化的问题,提出了在记忆截割的基础上增加自整定PID控制方法,该控制方式是应用继电反馈特性对传统PID控制参数进行自动调整,通过自整定PID控制器优化后的PID参数可在线自动调整,实现对采煤机控制参数的快速修改,提高采煤机控制精度。文章以MATLAB平台基础,通过对采煤机运行过程进行分析,针对控制对象建立数学模型,利用继电反馈的方法对被控对象的模型进行辨识,设计出自整定PID控制器用于采煤机截割及牵引的自动控制。
最后针对西安煤矿机械有限公司研制的MG650/1630-WD型无链电牵引采煤机,文章从其硬件结构以及控制软件的设计过程进行讲解,并对设计出的采煤机在矿井进行工业试验,通过对采煤机现场数据统计分析,该控制系统完全实现了设计时的预期设想。
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论文外文摘要: |
The intelligentization of the electronic control system of shearer is not only a critical part in realization of automating the production process for coal mining application, but also plays an important role in extending the life of machine, improving the reliability of equipment, ensuring the safety for workers, reducing accident rate, and improving the quaility of coal production, as well as greatly promoting the intelligent control of shearer and the development of the coal industry.
This article first elaborates the research status and development trend of intelligentization of the electronic control system of shearer. The foundation of the research of intelligent control modeling and control strategy of shearers can be formed by consulting related data at home and abroad, understanding the control mechanism and process of shearer's height adjustment system and traction system, and analyzing each operation parameter. On the basis of analyzing the previous research experience and existing problems, a self-tuning PID controller is added for the shearer's memory cutting control, and the multi-sensor data analysis is combined for the purpose of adjusting the mining height and traction speed of the shearer drum.The key technologies concerning to body positioning, attitude orientation, cutting path memory, cutting path planning and cutting path tracking in the intelligent control system of shearer is throughly studied in this article, and the self-tuning PID control method is proposed to the random variation of shearer load caused by coal seam change. This control strategy is to optimize the parameters of traditional PID based relay feedback thermal, allowing online automatical adjustment to the parameters of PID of the self-tuning PID controller, to realize the real-time response to the change of system parameters. The most commonly used methods in mathematical modeling is then studied, the controlled object is identified by using relay feedback method, and the parameters are adjusted. Finally, self-tuning PID control software is designed based on MATLAB.
Finally, the MG650/1630-WD chainless electric traction shearer manufactured by Xi'an Coal Mining Machinery Co., Ltd.is specified from hardware structure to software design in this article, and industrial test to the designed shearer is conducted in the mine. The control system can fully realize the design through statistics to the field data of the shearer.
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中图分类号: | TP273 |
开放日期: | 2018-06-19 |