The Design of Constant-flow Bump Control System Based on BP Neural Network

摘要：

The advantages and disadvantages of the current constant-flow control method for the constant-flow pump (CFP) are analyzed. By using the experimental data and the BP neural network (BPNN), the model between outlet pressure and flow loss coefficient established. In order to realize constant-flow control for the CFP, a feed-forward controller based on the model is set up finally. Experiments show that this controller can improve the flow control accuracy for the CFP greatly.

关键词： constant-flow pump back-propagation neural network feed-forward control

作者: Wu zhengping Chen yunbo

作者单位: Electrical Engineering & Renewable Energy School, China Three Gorges University,Yichang,China Electrical Engineering & Renewable Energy School, China Three Gorges University, Yichang,China

会议类型: 国际会议

会议名称: 4th International Conference on Measuring Technology and Mechatronics Automation(第四届检测技术与机电自动化国际会议 ICMTMA 2012)

会议地点: 三亚

会议语种:英文

页码: 1472-1475

在线出版日期: 2012-01-06（万方平台首次上网日期，不代表论文的发表时间）