本文選題：局部通風(fēng)機　切入點：瓦斯排放　出處：《太原理工大學(xué)》2015年碩士論文

【摘要】：近幾年，隨著煤炭工業(yè)向著高度智能化的方向發(fā)展，其安全事故發(fā)生的情況也有所改善，但瓦斯事故總數(shù)和瓦斯事故死亡人數(shù)的比例卻沒有下降。礦井掘進(jìn)工作面是瓦斯事故的多發(fā)地點，而局部通風(fēng)機是井下掘進(jìn)生產(chǎn)中的主要設(shè)備，其工作的可靠性直接影響著掘進(jìn)工作面生產(chǎn)的安全性，其工作的智能化程度取決于控制系統(tǒng)的先進(jìn)性和自適應(yīng)性。傳統(tǒng)的掘進(jìn)巷道通風(fēng)系統(tǒng)智能化程度低，大多是手動調(diào)速；目前，部分礦井采用變頻調(diào)速，但依舊是手動設(shè)置風(fēng)機轉(zhuǎn)速來控制風(fēng)量，沒有達(dá)到先進(jìn)的自動化程度，通風(fēng)系統(tǒng)能耗大，瓦斯集聚“一風(fēng)吹”的問題沒有得到徹底的解決，這種局面嚴(yán)重制約我國煤炭工業(yè)的發(fā)展。 針對上述問題，本文對煤礦掘進(jìn)工作面局部通風(fēng)理論進(jìn)行了深入的研究，提出了一種基于雙模自調(diào)整模糊控制算法的局部通風(fēng)機變頻調(diào)速模糊控制系統(tǒng)的設(shè)計方法，對該方法進(jìn)行了建模仿真，并組建了相應(yīng)的實驗平臺，進(jìn)行了實驗調(diào)試，，實驗結(jié)果表明，本文所設(shè)計的系統(tǒng)方案正確有效，實驗平臺可以按照控制規(guī)則正確運行。本文的具體研究內(nèi)容如下： 闡述了目前煤礦瓦斯處理方法及關(guān)鍵技術(shù)，介紹了國內(nèi)外礦用局部通風(fēng)機及其風(fēng)量調(diào)節(jié)技術(shù)、局部通風(fēng)機智能控制技術(shù)的研究現(xiàn)狀，結(jié)合掘進(jìn)巷道局部通風(fēng)理論，分析了我國局部通風(fēng)機智能調(diào)速系統(tǒng)的技術(shù)現(xiàn)狀、裝備布置及其控制系統(tǒng)的控制策略、功能，提出了本文所設(shè)計的局部通風(fēng)機智能調(diào)速模糊控制器的各項技術(shù)指標(biāo)，制定了詳細(xì)的控制方式，確定了局部通風(fēng)機變頻調(diào)速模糊控制器的總體方案。 依據(jù)工況確立了控制系統(tǒng)中模糊控制方法的隸屬度函數(shù)和模糊控制規(guī)則，分析對比了幾種模糊控制器的動態(tài)性能。根據(jù)系統(tǒng)所要實現(xiàn)的功能，在常規(guī)二維模糊控制算法的基礎(chǔ)上采用自調(diào)整因子優(yōu)化控制器性能，并通過MATLAB對該模型進(jìn)行仿真。結(jié)果表明，采用自調(diào)整因子優(yōu)化的控制器響應(yīng)速度快。分析了三相異步電機的矢量控制方法，并對該種調(diào)制方式進(jìn)行了MATLAB仿真，仿真結(jié)果表明該種調(diào)制方式可滿足控制系統(tǒng)設(shè)計的指標(biāo)，為硬件的編程做準(zhǔn)備。 在完成系統(tǒng)仿真的基礎(chǔ)上，設(shè)計了控制系統(tǒng)主回路，確定了DSP（DigitalSignal Processor）型號，設(shè)計了硬件系統(tǒng)，包括控制電路電源模塊、信號采樣及調(diào)理電路模塊、通訊模塊、APS Inverte（rApplied Power System Inverter）故障鎖存及緩沖電路模塊等的結(jié)構(gòu)，選取了電路參數(shù)，進(jìn)行了數(shù)據(jù)測試。測試結(jié)果表明：各部分硬件電路結(jié)構(gòu)合理，參數(shù)正確，穩(wěn)定性好。 在硬件平臺的基礎(chǔ)上，確定了局部通風(fēng)機變頻調(diào)速模糊控制器的軟件整體方案，采用C語言編寫了控制器的主程序及子程序，包括中斷子程序、模糊控制子程序、變頻子程序等功能模塊子程序，并對各功能模塊子程序進(jìn)行了調(diào)試。調(diào)試結(jié)果表明，系統(tǒng)軟件編寫合理，功能靈活，可移植性強。通過軟硬件的聯(lián)合調(diào)試證明，局部通風(fēng)機變頻調(diào)速模糊控制系統(tǒng)的控制方案正確有效，實驗平臺可以按照控制規(guī)則正確運行。
[Abstract]:In recent years, with the coal industry to the height of the development of intelligent safety accidents is improved, but the total number of deaths of gas accidents and gas accidents have not declined. The proportion of excavation working face of coal mine gas accident is in multiple locations, while the local fan is the main equipment in the production of underground excavation, its reliability directly affects the safety production of working face, the intelligent degree depends on the advanced control system and adaptive roadway ventilation system. The intelligent degree of the traditional low, mostly manual speed control; at present, part of the mine is controlled by frequency conversion, but is still manually set the fan to control the speed of air flow, did not achieve the degree of automation and advanced ventilation system, energy consumption, gas gathering "cancellation" problem has not been completely resolved, the situation is serious It restricts the development of China's coal industry.
Aiming at the above problems, this paper on the heading face of coal mine local ventilation theory in-depth study, this paper presents a design method based on dual mode fuzzy control algorithm of variable frequency speed fuzzy control system of local fan, the method of modeling and simulation, and set up the corresponding experimental platform, the experiment is done. The experimental results show that the system designed in this paper is correct and effective, according to the experiment platform can control rules correctly. The specific contents of this paper are as follows:
The coal mine gas processing method and key technology, introduced the domestic and foreign localventilator and air conditioning technology, research status of intelligent local fan control technology, combined with the theory of local ventilation roadway, analyzed the technology status of intelligent local fan speed control system of our country, control strategy, equipment arrangement and control system the function, put forward the technical indicators of local fan speed intelligent fuzzy controller is designed in this paper, the control methods in detail, the overall plan of the local fan frequency conversion fuzzy control device.
Based on the conditions established the membership function of the fuzzy control method in control system and fuzzy control rules, comparative analysis of dynamic performance of some fuzzy controller. According to the system function, a self-adaptive optimization controller performance control algorithm based on 2D fuzzy, and use the MATLAB to simulate the model. The results show that the controller using self adjustment factor to optimize the response speed. Analysis of the three-phase asynchronous motor vector control method, and the modulation of MATLAB simulation, the simulation results show that the modulation control can meet the design specifications, prepare for hardware programming.
Based on the system simulation, the design of main circuit control system, the DSP (DigitalSignal Processor) model, the design of the hardware system, including control circuit, power supply module, signal sampling and conditioning circuit module, communication module, APS Inverte (rApplied Power System Inverter) structure fault latch and buffer circuit module. The selection of circuit parameters is tested. The test results show that the various parts of the hardware circuit parameters correctly, reasonable structure, good stability.
Based on the hardware platform, the whole scheme of fuzzy controller of local fan frequency conversion software, using C language of the main program and subroutine controller, including interrupt subroutine, fuzzy control subroutine, subroutine conversion function module subroutine, and the function of each module subroutine is debugged. The debugging results show that the system software. Write reasonable, flexible function, strong portability. Through the joint hardware and software debugging, local fan frequency conversion fuzzy control scheme of the control system is correct and effective, the experiment platform according to the control rules correctly.

【學(xué)位授予單位】：太原理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TD441

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