本文選題：帶式輸送機　切入點：節(jié)能優(yōu)化　出處：《西安科技大學》2017年碩士論文　論文類型：學位論文

【摘要】：近年來隨著經(jīng)濟增速持續(xù)放緩、能源結(jié)構(gòu)不斷優(yōu)化和調(diào)整、生態(tài)環(huán)境限制等原因,我國對煤炭的需求量持續(xù)下降,并且煤炭行業(yè)產(chǎn)能過剩嚴重。帶式輸送機是煤礦生產(chǎn)中主要的運輸設備,煤炭生產(chǎn)的間斷性,決定了其運輸負載的不均衡性,帶式輸送機一般是按照煤礦生產(chǎn)的峰值能力考慮一定的冗余系數(shù)確定的。所以進行帶式輸送機節(jié)能調(diào)速控制系統(tǒng)研究對減少企業(yè)生產(chǎn)投入,建設生態(tài)環(huán)境友好型煤炭企業(yè)具有一定的重要意義。本文針對煤炭企業(yè)主要運輸設備帶式輸送機效率低、能量消耗過高這一現(xiàn)狀,主要研究工作如下:通過對影響帶式輸送機功率的參數(shù)進行研究,分析了當運量改變時改變帶速對減少帶式輸送機功耗的效果,確定節(jié)能方法。通過分析帶速和物料單位長度質(zhì)量對帶式輸送機運行阻力產(chǎn)生的功耗的影響,得到了在滿足輸送帶強度前提下運量和帶速的匹配關(guān)系,進而為減少帶式輸送機運行的功耗提供理論依據(jù)。為了分析帶式輸送機參數(shù)對控制系統(tǒng)的影響,運用神經(jīng)網(wǎng)絡建立了帶速、運量和功耗的功耗模型,通過粒子群算法對模型參數(shù)進行了優(yōu)化,得出了煤量與帶速之間的合理匹配關(guān)系。運用模糊控制算法理論設計了帶式輸送機模糊控制器,并針對帶式輸送機系統(tǒng)的模型利用模糊控制策略通過MATLAB進行仿真。在Simulink中對帶式輸送機模糊控制器建立仿真模型,仿真結(jié)果表明,所建立的模糊控制器具有良好的控制效果。最后設計了帶式輸送機節(jié)能調(diào)速控制系統(tǒng)實驗,以STM32單片機作為實驗的核心控制器,通過稱重傳感器采集重量信號,STM32單片機對輸入數(shù)據(jù)與設定值進行比較分析后,輸出不同占空比的PWM控制信號來實現(xiàn)電機的轉(zhuǎn)速控制。實驗結(jié)果表明所設計的稱重調(diào)速控制系統(tǒng)實時性好,可擴展性強,基本實現(xiàn)了控制要求。
[Abstract]:In recent years, with the economic growth rate continuing to slow down, the energy structure continuously optimized and adjusted, and the ecological environment restricted, the demand for coal in our country has continued to decline. Belt conveyor is the main transportation equipment in coal mine production. The discontinuity of coal production determines the imbalance of transportation load. The belt conveyor is usually determined by considering certain redundancy coefficient according to the peak capacity of coal mine production. Therefore, the research on the energy saving and speed regulation control system of belt conveyor will reduce the production input of enterprises. It is of great significance to build eco-environment friendly coal enterprises. This paper aims at the low efficiency and high energy consumption of belt conveyors, the main transportation equipment of coal enterprises. The main research work is as follows: by studying the parameters that affect the power of belt conveyor, the effect of changing the belt speed on reducing the power consumption of belt conveyor is analyzed. By analyzing the influence of belt speed and material per unit length mass on the power consumption of belt conveyor running resistance, the matching relationship between transport volume and belt speed is obtained under the premise of satisfying the belt strength. In order to analyze the influence of belt conveyor parameters on the control system, a power consumption model with speed, capacity and power consumption is established by using neural network. The model parameters are optimized by particle swarm optimization, and the reasonable matching relationship between coal quantity and belt speed is obtained. The fuzzy controller of belt conveyor is designed by using fuzzy control algorithm theory. According to the model of belt conveyor system, the fuzzy control strategy is simulated by MATLAB. The simulation model of the fuzzy controller of belt conveyor is established in Simulink, and the simulation results show that, The fuzzy controller has good control effect. Finally, the experiment of energy saving and speed regulation control system of belt conveyor is designed. The STM32 single chip microcomputer is used as the core controller of the experiment. The input data and the set value are compared and analyzed by using the weighing sensor to collect the weight signal and STM32 single chip computer. The PWM control signal with different duty cycle ratio is output to realize the speed control of the motor. The experimental results show that the designed weighing speed control system has the advantages of good real-time performance, strong expansibility and basic control requirements.
【學位授予單位】：西安科技大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TD528.1

【參考文獻】

相關(guān)期刊論文 前10條

1 任中全;王淼;;帶式輸送機節(jié)能調(diào)速控制系統(tǒng)設計[J];煤炭技術(shù);2016年05期

2 李文洋;林福嚴;盧巖;張彥超;蔣化壯;;載荷對帶式輸送機主要阻力影響的實驗研究[J];煤礦機械;2015年10期

3 盧巖;劉旭濤;林福嚴;曲天雷;王玉超;李文洋;;間接測試輸送帶壓陷阻力實驗裝置的研制[J];煤礦機械;2015年09期

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

5 劉生江;許軍;邢海龍;;帶式輸送機壓陷阻力與載荷關(guān)系試驗臺的設計[J];煤礦機械;2014年11期

6 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控制研究[J];煤礦機械;2014年04期

7 李治亮;陸陽;;帶式輸送機自適應調(diào)速系統(tǒng)節(jié)能研究[J];煤礦機械;2014年04期

8 鄭陽平;;帶式輸送機智能控制系統(tǒng)的研究與實現(xiàn)[J];煤礦機械;2014年03期

9 王秀鳳;;淺析帶式輸送機驅(qū)動方式[J];科技與企業(yè);2014年01期

10 吳迪;;煤礦帶式輸送機的電氣節(jié)能技術(shù)研究[J];科技創(chuàng)新與應用;2013年34期

相關(guān)碩士學位論文 前5條

1 潘小東;PLC模糊控制在帶式輸送機控制系統(tǒng)中的應用研究[D];中北大學;2013年

2 賈軍風;料場堆取料帶式輸送機系統(tǒng)節(jié)能優(yōu)化問題的研究[D];東北大學;2011年

3 何磊;煤礦帶式輸送機的電氣節(jié)能技術(shù)研究[D];西安科技大學;2010年

4 范志宇;模糊控制在電動機調(diào)速中的研究[D];太原理工大學;2006年

5 鄭慧;井下帶式輸送機用變頻調(diào)速技術(shù)的研究[D];山東科技大學;2005年

，

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