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标题：双模式因子电机风速预标定在粉尘采集的实现 |
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作者：王征，马宪民，李磊 |
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| 2016年第6期 访问次数：307次 |
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摘要：针对煤矿井下粉尘易引发爆炸事故而造成人员伤亡，设计的粉尘图像采集装置用于实时监测粉尘浓度及粒度大小等井下环境信息。为了获取高质量的粉尘图像，提出一种基于双模式因子（DualMode Factor，DMF）的微电机风速预标定方法实现采集室风速调节。该方法在采集室风速控制系统中加入微电机风速预标定模块。在常规比例控制基础上增加预标定方法，模块运算速度较低且易陷人局部极小，控制效果不理想。考虑在调整权值时,分别对学习速率因子和惯性冲量因子进行实时更新。因此风机控制量的实际大小为常规的比例控制器计算的输出经双模式因子预标定方法处理后得到的输出。现场应用表明，该算法可滤除学习过程中的高频振荡,加快学习速度；微电机控制输出量的稳定性明显增强，保证采集室内风速平稳，在煤矿井下的成像环境中实现较高质量的粉尘图像。
关键词：煤尘图像；微电机预标定模块；双模式因子
Abstract: This paper considered micromotor wind velocity adjusting problem based on DMF precalibration method. This problem exists in dust acquisition device designed for realtime monitoring of dust concentration and particle size in the underground environment information. Stable wind flow in the device can guarantee a high quality dust image, so micromotor winds precalibration model was proposed and added in acquisition device winds controlling system. Since the existing methods were no longer applicable, it brought about the low operating speed and fallen into local minimum easily. By the approaches of updating learning rate factor and inertia impulse factor respectively, the author proposed the designed scheme of DMF precalibration method for the system. It is shown that the designed controller guarantees that the algorithm can filter the highfrequency oscillations and accelerate learning in process and micromotor control output enhances stability significantly. The method ensures smooth winds in acquisition device and achieve higher quality dust image.
Key words: dust image；the micromotor precalibration model； DMF
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