摘要
提出一种基于灰色预测的模糊神经网络控制策略,并应用在孵化过程控制系统中。运用灰色预测技术对孵化参数进行预测,方便后续控制,而模糊神经网络则控制过程的动态特性,保证孵化参数的精确和稳定控制。仿真结果表明,该系统能在50s内将被控对象稳定,具有良好的动态和静态特性。
A fuzzy neural network control strategy based on gray prediction was presented and applied in control system of incubation process. The main parameters of incubation were predicted by gray prediction. The dynamic characteristics were controlled by fuzzy neural network to keep the accuracy and stability. The simulated results show that the system can make the object stable in 50 s, and it has good dynamic and static characteristics.
出处
《农业机械学报》
EI
CAS
CSCD
北大核心
2008年第11期109-112,共4页
Transactions of the Chinese Society for Agricultural Machinery
基金
中南林业科技大学青年科学研究基金重点项目(项目编号:07010A)
关键词
孵化
灰色预测
模糊神经网络
控制
仿真
Incubation, Gray prediction, Fuzzy neural network, Control, Simulation
