本文選題：帶式輸送機(jī)　切入點(diǎn)：速度優(yōu)化　出處：《太原理工大學(xué)》2017年碩士論文

【摘要】：帶式輸送機(jī)作為煤炭運(yùn)輸?shù)闹饕O(shè)備,是煤炭生產(chǎn)系統(tǒng)的咽喉。隨著科技的發(fā)展進(jìn)步,帶式輸送機(jī)朝著大運(yùn)量、高移速、長(zhǎng)距離的方向發(fā)展,與之相伴的是輸送機(jī)能耗的增加。隨著國(guó)家提出節(jié)能減排戰(zhàn)略,如何提高帶式輸送機(jī)的運(yùn)輸效率,從而降低能量消耗成為亟需解決的問(wèn)題。目前可以從四個(gè)方面提高帶式輸送機(jī)的利用效率:改善機(jī)械性能、改進(jìn)設(shè)備、科技進(jìn)步與改進(jìn)運(yùn)行方式。目前絕大多數(shù)研究集中在前三個(gè)方面,而改變運(yùn)行方式是提高帶式輸送機(jī)運(yùn)輸效率、降耗節(jié)能的全新視角。目前帶式輸送機(jī)運(yùn)行方式單一,通常保持額定帶速恒定運(yùn)行,這樣容易出現(xiàn)半載甚至空載情況,改變運(yùn)行方式可以通過(guò)調(diào)節(jié)帶速使輸送機(jī)保持滿載運(yùn)行、規(guī)劃輸送機(jī)運(yùn)輸時(shí)間,從而達(dá)到節(jié)能目的。本文包括帶式輸送機(jī)運(yùn)輸策略優(yōu)化與調(diào)速節(jié)能控制兩大部分,首先在輸送機(jī)調(diào)速節(jié)能理論的基礎(chǔ)上建立帶式輸送機(jī)動(dòng)態(tài)能耗模型,確定帶式輸送機(jī)速度優(yōu)化理論基礎(chǔ),根據(jù)能耗模型結(jié)合實(shí)際工況對(duì)帶式輸送機(jī)的運(yùn)輸策略進(jìn)行優(yōu)化,同時(shí)分析經(jīng)過(guò)優(yōu)化后可為企業(yè)帶來(lái)的節(jié)能效益,結(jié)果表明,對(duì)帶式輸送機(jī)的運(yùn)輸策略進(jìn)行優(yōu)化,配合調(diào)速滿載運(yùn)行,可以為煤礦企業(yè)帶來(lái)巨大的經(jīng)濟(jì)效益。其次,針對(duì)實(shí)際運(yùn)輸過(guò)程中物料的不穩(wěn)定性,提出帶式輸送機(jī)的智能控制方法使其保持滿載運(yùn)行,分析調(diào)速過(guò)程帶式輸送機(jī)的機(jī)械與機(jī)電特性,計(jì)算各部位所能承受的最大加速度,保證調(diào)速過(guò)程中的安全性,依據(jù)各計(jì)算參考數(shù)據(jù),設(shè)計(jì)帶式輸送機(jī)模糊控制器,選擇輸送機(jī)參考速度、加速度作為輸入,驅(qū)動(dòng)力矩作為輸出,并對(duì)輸入量進(jìn)行模糊化,選取相應(yīng)的隸屬函數(shù),制定模糊規(guī)則,從而通過(guò)模糊控制實(shí)現(xiàn)帶式輸送機(jī)物料與帶速相匹配運(yùn)行。最后,結(jié)合dSPACE半實(shí)物仿真平臺(tái),建立帶式輸送機(jī)實(shí)時(shí)模糊控制系統(tǒng),搭建實(shí)驗(yàn)平臺(tái),實(shí)現(xiàn)帶速與模擬物料流量匹配實(shí)驗(yàn),為帶式輸送機(jī)智能控制奠定理論與實(shí)驗(yàn)基礎(chǔ)。為了體現(xiàn)輸送機(jī)帶速模糊控制的可靠性與運(yùn)行性能,采用速度傳感器對(duì)輸送機(jī)帶速進(jìn)行實(shí)時(shí)監(jiān)測(cè),同時(shí)與輸送機(jī)速度進(jìn)行實(shí)時(shí)對(duì)比,對(duì)比結(jié)果表明通過(guò)模糊控制可以處理運(yùn)行過(guò)程中帶式輸送機(jī)的調(diào)速問(wèn)題,有效避免調(diào)速過(guò)程中的力學(xué)問(wèn)題,并且具有較強(qiáng)的魯棒性,適合于實(shí)際工業(yè)應(yīng)用。通過(guò)提出帶式輸送機(jī)的速度優(yōu)化節(jié)能理論與控制方法,為輸送機(jī)運(yùn)行過(guò)程中的優(yōu)化與控制領(lǐng)域展開新的思路,從而提升帶式輸送機(jī)的使用效率,給煤炭企業(yè)帶來(lái)經(jīng)濟(jì)效益的同時(shí)節(jié)約了大量的能量消耗。
[Abstract]:Belt conveyor, as the main equipment of coal transportation, is the throat of coal production system. With the development of science and technology, belt conveyor is developing in the direction of large volume, high speed and long distance. With the increase of energy consumption of conveyors, how to improve the transport efficiency of belt conveyors, with the development of energy saving and emission reduction strategy, Therefore, reducing energy consumption has become an urgent problem. At present, the utilization efficiency of belt conveyor can be improved in four aspects: improve mechanical performance, improve equipment, At present, most of the researches focus on the first three aspects, but changing the operation mode is a new angle of view to improve the transportation efficiency, reduce consumption and save energy of belt conveyors. At present, the operation mode of belt conveyors is single, Usually, the rated belt speed is kept constant, so it is easy to appear half load or even no load. By adjusting the belt speed, the conveyor can be kept in full load operation, and the transportation time of the conveyer can be planned. This paper includes two parts: belt conveyor transportation strategy optimization and speed regulation energy-saving control. Firstly, the dynamic energy consumption model of belt conveyor is established on the basis of the energy saving theory of belt conveyor speed regulation. The theoretical basis of speed optimization of belt conveyor is determined. The transportation strategy of belt conveyor is optimized according to the energy consumption model combined with actual working conditions. At the same time, the energy saving benefits brought by the optimization are analyzed. The results show that, The transportation strategy of belt conveyer is optimized and the speed regulation is carried out at full load, which can bring huge economic benefits to coal mining enterprises. Secondly, aiming at the instability of materials in the actual transportation process, The intelligent control method of belt conveyor is put forward to keep it running at full load. The mechanical and mechanical characteristics of belt conveyor are analyzed, the maximum acceleration of each part can be calculated, and the safety of speed regulation process is guaranteed. According to the reference data of each calculation, the fuzzy controller of belt conveyor is designed. The reference speed and acceleration of conveyor are selected as input, the driving moment is taken as output, and the input quantity is fuzzy, and the corresponding membership function is selected. The fuzzy rules are made to realize the matching of belt conveyor material and belt speed through fuzzy control. Finally, combining with dSPACE hardware-in-the-loop simulation platform, the real-time fuzzy control system of belt conveyor is established, and the experimental platform is built. The experiment of matching belt speed with simulated material flow is realized, which lays a theoretical and experimental foundation for intelligent control of belt conveyor. In order to reflect the reliability and operation performance of belt speed fuzzy control, The speed of belt conveyor is monitored by speed sensor, and the speed of belt conveyor is compared with the speed of conveyor. The result shows that the speed regulation of belt conveyor can be handled by fuzzy control. The mechanical problems in the process of speed regulation are avoided effectively and have strong robustness, which is suitable for practical industrial application. The theory and control method of speed optimization and energy saving of belt conveyor are put forward. In order to improve the efficiency of belt conveyor, it can bring economic benefits to coal enterprises and save a lot of energy consumption.
【學(xué)位授予單位】：太原理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TH222

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 張麗娜;匡泰;;帶式輸送機(jī)的參數(shù)優(yōu)化和計(jì)算機(jī)輔助設(shè)計(jì)[J];煤炭技術(shù);2016年06期

2 高興源;;帶式輸送機(jī)節(jié)能降耗控制方法探究[J];能源與節(jié)能;2016年05期

3 任中全;王淼;;帶式輸送機(jī)節(jié)能調(diào)速控制系統(tǒng)設(shè)計(jì)[J];煤炭技術(shù);2016年05期

4 周容卉;;帶式輸送機(jī)的變頻調(diào)速研究[J];時(shí)代農(nóng)機(jī);2016年01期

5 崔林;;帶式輸送機(jī)拉緊裝置有限元模型分析[J];機(jī)械研究與應(yīng)用;2015年05期

6 王曉偉;張麗香;;基于模糊PID控制的帶式輸送機(jī)節(jié)能系統(tǒng)的仿真研究[J];煤礦機(jī)械;2015年02期

7 李玉瑾;孟瑩;于功江;;帶式輸送機(jī)輸送帶動(dòng)張力的實(shí)用計(jì)算方法[J];起重運(yùn)輸機(jī)械;2014年06期

8 劉國(guó)春;費(fèi)強(qiáng);趙武云;戴飛;;基于Matlab遺傳算法優(yōu)化工具箱的應(yīng)用[J];機(jī)械研究與應(yīng)用;2014年02期

9 陳余;;基于智能算法的模糊神經(jīng)PID技術(shù)的煤礦井下帶式輸送機(jī)控制研究[J];煤礦機(jī)械;2014年04期

10 郭麗;;智能控制技術(shù)在煤礦井下帶式輸送機(jī)中的應(yīng)用價(jià)值分析[J];電腦知識(shí)與技術(shù);2014年10期

相關(guān)博士學(xué)位論文 前6條

1 王中華;礦井煤流輸送系統(tǒng)優(yōu)化控制關(guān)鍵技術(shù)研究[D];中國(guó)礦業(yè)大學(xué);2014年

2 胡坤;帶式輸送機(jī)綠色設(shè)計(jì)關(guān)鍵技術(shù)與應(yīng)用研究[D];安徽理工大學(xué);2012年

3 董大仟;大型帶式輸送機(jī)動(dòng)態(tài)特性研究及其應(yīng)用[D];華北電力大學(xué)（北京）;2008年

4 李澄非;計(jì)算智能方法研究及其在流程工業(yè)中應(yīng)用[D];北京化工大學(xué);2007年

5 劉嚴(yán);電力市場(chǎng)環(huán)境下電力產(chǎn)業(yè)價(jià)格鏈優(yōu)化模型及方法研究[D];華北電力大學(xué)（北京）;2006年

6 侯友夫;帶式輸送機(jī)動(dòng)態(tài)特性及控制策略研究[D];中國(guó)礦業(yè)大學(xué);2001年

相關(guān)碩士學(xué)位論文 前10條

1 張沿江;帶式輸送機(jī)節(jié)能控制系統(tǒng)技術(shù)研究[D];西安科技大學(xué);2014年

2 羅亮;帶式輸送機(jī)多體動(dòng)力學(xué)仿真及動(dòng)態(tài)特性研究[D];華北電力大學(xué);2014年

3 劉偉國(guó);帶式輸送機(jī)阻尼板防滑應(yīng)用性的研究[D];太原理工大學(xué);2013年

4 張世珍;帶式輸送機(jī)節(jié)能優(yōu)化方法的研究[D];東北大學(xué);2012年

5 牛巍巍;帶式輸送機(jī)的動(dòng)態(tài)分析研究[D];太原科技大學(xué);2010年

6 武建偉;大型曲線帶式輸送機(jī)設(shè)計(jì)系統(tǒng)的研究[D];華北電力大學(xué)（北京）;2008年

7 李建楠;基于虛擬樣機(jī)技術(shù)的帶式輸送機(jī)傳動(dòng)滾筒研究[D];山東科技大學(xué);2007年

8 王鵬云;基于遺傳算法的礦用帶式輸送機(jī)直接轉(zhuǎn)矩控制系統(tǒng)[D];西安科技大學(xué);2006年

9 王元元;帶式輸送機(jī)動(dòng)力學(xué)分析模型若干問(wèn)題的研究[D];東北大學(xué);2006年

10 龍利;MATLAB環(huán)境下控制系統(tǒng)實(shí)時(shí)仿真實(shí)驗(yàn)的研究[D];重慶大學(xué);2005年

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