【摘要】：隨著煤炭開采技術(shù)的不斷發(fā)展和進步,提高綜采工作面的自動化水平是煤礦實現(xiàn)高效安全生產(chǎn)的關(guān)鍵。采煤機和刮板輸送機作為綜采工作面生產(chǎn)和運輸?shù)年P(guān)鍵機電裝備,提高其協(xié)同工作性能和可靠性是實現(xiàn)綜采自動化的主要問題。為解決采煤機不合理運行導(dǎo)致的刮板輸送機負載變化大甚至出現(xiàn)過載運行的問題,本文以采煤機和刮板輸送機的協(xié)同控制關(guān)鍵技術(shù)為研究目標(biāo),在對刮板輸送機負載預(yù)測的基礎(chǔ)上,提出了一種刮板輸送機/采煤機協(xié)同控制策略,開發(fā)了基于刮板輸送機負載預(yù)測的采煤機調(diào)速系統(tǒng)。論文主要研究內(nèi)容如下:(1)基于刮板輸送機負載預(yù)測的采煤機調(diào)速系統(tǒng)總體架構(gòu)設(shè)計。在確定基于刮板輸送機負載預(yù)測的采煤機調(diào)速系統(tǒng)功能的基礎(chǔ)上,完成了順槽PLC控制器、刮板輸送機機頭機尾PLC控制器、采煤機機載PLC控制器和組合開關(guān)PLC控制器之間的集成設(shè)計與網(wǎng)絡(luò)組態(tài)。(2)刮板輸送機的負載預(yù)測及仿真。通過分析刮板輸送機負載與電機電流的映射關(guān)系,選用小波神經(jīng)網(wǎng)絡(luò)建立刮板輸送機負載的預(yù)測模型,對刮板輸送機負載電流這一關(guān)鍵特征參數(shù)進行預(yù)測。(3)基于刮板輸送機負載預(yù)測的采煤機調(diào)速策略研究。利用模糊邏輯對刮板輸送機的負載狀態(tài)進行模糊劃分,建立刮板輸送機負載狀態(tài)判定模型,確定刮板輸送機不同負載狀態(tài)下采煤機速度的調(diào)節(jié)區(qū)間。在規(guī)定的速度區(qū)間內(nèi),利用Elman神經(jīng)網(wǎng)絡(luò)對采煤機進行調(diào)速。本課題研制的基于刮板輸送機負載預(yù)測的采煤機調(diào)速系統(tǒng)在陽煤集團二礦71507綜采工作面進行了相關(guān)工業(yè)性試驗,試驗結(jié)果表明該系統(tǒng)達到了預(yù)期功能,為實現(xiàn)采煤機和刮板輸送機的協(xié)同控制奠定了基礎(chǔ)。
[Abstract]:With the continuous development and progress of coal mining technology, improving the automation level of fully mechanized mining face is the key to realize high efficiency and safety production in coal mine. Shearer and scraper conveyor are the key mechanical and electrical equipment in the production and transportation of fully mechanized mining face. It is the main problem to realize the automation of fully mechanized mining to improve the cooperative working performance and reliability of shearer and scraper conveyor. In order to solve the problem that the load of scraper conveyer changed greatly or even overloaded caused by the unreasonable operation of shearer, the key technology of collaborative control between shearer and scraper conveyor is taken as the research goal in this paper. Based on the load prediction of scraper conveyer, this paper puts forward a cooperative control strategy of scraper conveyor / shearer, and develops a speed regulating system of shearer based on load prediction of scraper conveyor. The main contents of this paper are as follows: (1) the overall structure design of speed regulation system of shearer based on load prediction of scraper conveyor. On the basis of determining the function of speed regulation system of shearer based on load prediction of scraper conveyer, the PLC controller with slot and the PLC controller with head and tail of scraper conveyor are completed. Integrated design and network configuration between airborne PLC controller and combined switch PLC controller of shearer. (2) load prediction and simulation of scraper conveyor. By analyzing the mapping relationship between scraper conveyor load and motor current, wavelet neural network is used to establish the load prediction model of scraper conveyor. The load current of scraper conveyor is predicted as a key characteristic parameter. (3) the speed regulation strategy of shearer based on load prediction of scraper conveyor is studied. The load state of scraper conveyor is divided by fuzzy logic, and the model of judging load state of scraper conveyor is established, and the regulating interval of shearer speed under different load state of scraper conveyor is determined. In the specified speed range, the Elman neural network is used to speed the shearer. Based on the load prediction of scraper conveyer, the shearer speed regulation system has been tested in No. 71507 fully mechanized coal face of No. 2 Coal Mine. The test results show that the system has achieved the expected function. It lays a foundation for the cooperative control of shearer and scraper conveyor.
【學(xué)位授予單位】：中國礦業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TD421.6

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相關(guān)期刊論文 前2條

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本文編號：2348340