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Fuzzy Control of Partial Fan in Heading Laneway

机译:巷道巷道部分粉丝的模糊控制

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摘要

Air flow character and gas mathematical mode of heading laneway in coalmine is researched in detail to tackle with normal ventilation and gas discharging problem. Combining with ventilation requirements and safety regulation in coalmine, control strategy which aims at both safety and energy saving is established at length. Moreover, conventional double fuzzy control model is found to carry out two work mode, normal ventilation and gas discharging. Since four input signals affect output in different degree, three layers BP neural network is employed to compute weight. Direct torque control style is applied to perform speed adjusting of partial fan. In order to testify the control strategy, an experiment platform including DSP and IPM is founded. The experiment results show that the control strategy is effective to fulfill the function of ventilation and gas discharge in heading laneway.
机译:详细研究了煤矿中标题巷道的空气流量和气体数学模式,以常规通风和气体排放问题解决。结合煤矿的通风要求和安全调节,规范了旨在保持安全和节能的控制策略。此外,发现传统的双模糊控制模型进行了两种工作模式,正常通风和气体排放。由于四个输入信号影响不同程度的输出,因此采用三个层BP神经网络来计算权重。采用直接扭矩控制样式来执行局部风扇的速度调节。为了证明控制策略,建立了一个实验平台,包括DSP和IPM。实验结果表明,控制策略可有效地满足巷道通风和气体排放的功能。

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