Study of Ezpert Control System of Oil Pump Energy-Saving Based on Genetic Neural Network
In order to deal with the problem of light load operation of most oil pumps in oil fields, an oil pump energy-saving “intermittent start-stop operation method based on genetic neural network and expert control is proposed in this paper. At first, the structure of fuzzy neural network reasoning machine based on rules is introduced in the paper, which is used as an inference engine to deal with the difficulty of acquiring knowledge and the weak inference. To improve the performance of the system, the genetic algorithm is used to make the off-line training of the inference engine, and the rule inference of traditional expert system is used for the transparency of system with agility in system. Finally, the structure of genetic neural network expert control system is given and used in oil pump control that achieves the desired energy-saving effects.
Oil Pump Energy-Saving Ezpert Control Fuzzy Neural Network Genetic Algorithm
He Ping Li Min Qian Yuheng
Harbin Institute of Technology, Harbin 150001, China Harbin Institute of Technology, Harbin 150001, China Heilongjiang August First Land Reclamation Univ
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
5441-5444
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）