摘要
为了解决煤矿井下温度控制的应用需求,提出了一种采用分布式的煤矿井下温度调节算法.该算法通过分布在矿井下不同位置的温度传感器探测矿井下的温度,采用模糊神经网络的策略对井下的温度进行调节和控制.给出模糊神经网络的隶属度函数以及模糊函数,仿真测试表明,所设计的温度控制算法具有较强的鲁棒性.
In order to meet the application requirements of temperature control of coal mine,this paper presents an algorithm adopt-ing distributed coal mine temperature regulation. The algorithm uses the temperature sensors distributed in different locations of the mine to detect the mine temperature,regulates and controls the underground temperature by fuzzy neural network. It also provides the member-ship and fuzzy function of fuzzy neural network. Simulation tests show that the algorithm designed in this paper has strong robustness.
出处
《柳州师专学报》
2015年第3期139-142,共4页
Journal of Liuzhou Teachers College
基金
2013年广西教育厅科研项目"制冷设备状态监测与故障诊断系统设计"(2013YB354)
关键词
煤矿
温度调节
分布式
模糊神经网络
隶属度函数
coal
temperature regulation
distributed
fuzzy neural network
membership function
