摘要
将模糊控制、神经网络和传统PID控制三种方法相结合,设计了一种智能控制方法.该方法既具有自学习、自适应的优点,同时又可以很好地在控制过程中利用已有的经验知识,在线整定PID控制的三个参数,将中子发生器的产额控制进一步智能化.该方法以产额为反馈信息,直接稳定产额,比传统自动控制方法的控制精度和稳定性更高.
When the neutron tube has been determined,exploring a better control strategy is an effective way to improve the yield stability of neutron generator.This paper combines fuzzy control,neural network and traditional PID control,gives full play to their advantages and avoids their disadvantages,and designs an intelligent control method.This method not only has the advantages of self-learning and selfadaptive,but also can make good use of the existing experience and knowledge in the control process to adjust the three parameters of PID control online,so as to further intellectualize the yield control of neutron generator.This method takes the yield as the feedback information,directly stabilizes the yield,and has higher control accuracy and stability than the traditional automatic control method.
作者
魏雄
冯杨洋
WEI Xiong;FENG Yang-yang(School of Mechanical and Electrical Engineering,East China University of Technology,Nanchang Jiangxi 330013,China)
出处
《核电子学与探测技术》
CAS
北大核心
2022年第2期380-384,共5页
Nuclear Electronics & Detection Technology
关键词
中子发生器
中子产额
智能控制方法
Neutron Generator
Neutron Yield
Intelligent Control Method