坡底煤业通风机变频调速系统优化
崔志永，王建鸫
（内蒙古煤矿设计研究院有限责任公司，内蒙古 呼和浩特 010010）
摘要：为有效解决坡底煤业通风机变频调速效果差、能耗高等问题，提出了基于BP 神经网络多传感器融合的
S7-300 PLC 控制平台的调速优化方案，应用输入信号与通风机工作频率和叶片位移（安装角） 间的非线性映射关
联，再分别通过变频调速和电液伺服优化控制通风机转速和叶片安装角。现场实验表明，对通风机变频调速系统
的优化能有效校正风阻特性和通风机运行状态变化引起的不确定扰动，在满足实际需风量的前提下，可实现通风
机工作效率最高和电能损耗最低的协同优化。
关键词：变频优化；BP神经网络；非线性映射
中图分类号：TD63⁺5      文献标志码：A      文章编号：2095-0802-(2024)02-0254-04
Optimization of Variable Frequency Speed Regulation System of Ventilators in
Podi Coal Industry Co., Ltd.
CUI Zhiyong, WANG Jiandong
(Inner Mongolia Coal Mine Design & Research Institute Co., Ltd., Hohhot 010010, Inner Mongolia, China)
Abstract: In order to effectively solve the problem of low frequency speed regulation effect and high energy consumption
of ventilators in Podi Coal Industry Co., Ltd., a speed regulation optimization scheme of S7-300 PLC control platform
based on BP neural network multi-sensor fusion was proposed. The nonlinear mapping relationship between the input
signal and fan operating frequency and blade displacement (installation angle) was applied, and then the fan speed and
blade installation angle were optimized by frequency conversion and electro -hydraulic servo respectively. Field
experiments show that the optimization of the frequency conversion speed regulation system of ventilators can effectively
correct the uncertain disturbance caused by the change of wind resistance characteristics and ventilator operating state,
and can realize the cooperative optimization of the highest ventilator efficiency and the lowest power loss under the
premise of meeting the actual air demand.
Key words: frequency conversion optimization; BP neural network; nonlinear mapping