摘要
文章介绍利用BP神经网络解决液压系统驱动电机输入功率与液压系统输出功率之间的传递效率监测问题。在研究电机输入功率和液压泵输出功率数学模型的基础上,通过以DSP为核心的监测板进行电机输入功率的计算,利用BP神经网络训练传递效率,实现监测液压系统输出功率的软测量计算。通过大量实验证明,此方法能有效地监测传递效率,解决了液压系统功率监测的技术难题。
This paper discusses the application of BP Neural Network to transmission efficiency monitoring between input power of the electrio motor and output power of the hydraulic pump of the hydraulic pressure system. Based on the research in electromotor-hydraulic system power mathematical model, the input power of the electromotor computes through monitoring board based on DSP, and the output power of the hydraulic System indirectly computes through the use of BP Neural Network in training the transmission efficiency. Experiments proves this method can effectively monitor the transmission efficiency, and solve the technical difficult problem of power monitoring of the hydraulic system.
出处
《石油仪器》
2006年第6期54-56,1,共3页
Petroleum Instruments
