摘要
从三相异步电机变频调速工作原理出发,详细分析了三相异步电机的主要耗能来源,在优化改进BP神经网络算法的基础上,进行了样本选择、网格结构建立、系统仿真等过程设计,基于此,进行了三相异步电机实际电压值的预测,计算权值并实时调整电机电压输出值,从而保证了稳定最优电压输出,消除或避免其他因素干扰,该系统可实现矿用三相异步电机的节能优化,具有借鉴意义。
Based on the working principle of variable frequency speed regulation of three-phase asynchronous motor, the main energy consumption sources of three-phase asynchronous motor are analyzed in detail in this paper.Based on the optimization and improvement of BP neural network algorithm, process design for sample selection, grid structure establishment, system simulation and so on is carried out;Based on this, the actual voltage value of the three-phase asynchronous motor is predicted, the weight is calculated and the output value of motor voltage is adjusted in real time, thus to ensure the stable optimal voltage output and eliminate or avoid the interference of other factors.The system has reference significance to realize the energy-saving optimization of three-phase asynchronous motor in mine.
作者
陈宁
CHEN Ning(Lanzhou Electric Co., Ltd, Lanzhou Gansu 730314, China)
出处
《机械研究与应用》
2019年第3期194-196,共3页
Mechanical Research & Application
关键词
三相异步电机
BP神经网络
实时调整
节能优化
three-phase asynchronous motor
BP neural network
real-time adjustment
energy-saving optimization
