摘要
为了提高阀门智能控制的工作效率与阀门的智能化、数字化,该研究对阀门智能控制进行了研究,设计了基于信息技术的阀门智能控制系统,包括CAN通信接口、单元控制器和阀门智能控制器节点三大部分,采用微控制器技术,实现了智能阀门的数字控制和智能控制;利用CAN总线技术,构建两级总线智能阀门控制系统,实现智能阀门的集中控制;设计了阀门远程控制的软件系统,利用了PLC中央处理器及远程控制模块的方式,实现了阀门的远程操作,最后利用自适应控制算法,实现阀门参数的自整定,在此基础上依据系统的响应,进而实现阀门参数的自校正;实验表明,该研究的系统在进行阀门位置定位测试时,定位误差均低于10%,并且在进行智能阀门远程控制响应时间测试时,在系统迭代次数为900次时,响应时间为60 s,相对较低,可见该研究的系统定位精度较高,响应速度较快,性能较好。
In order to improve the working efficiency of valve intelligent control and the intelligent and digital valve,this research studies the valve intelligent control,and designs the valve intelligent control system based on information technology,including three major parts of CAN communication interface,unit controller and valve intelligent controller.The microcontroller technology is used to realize digital control and intelligent control of intelligent valves;the CAN bus technology is used to build the two-level bus intelligent valve control system to realize centralized control of intelligent valves;the software for remote control of valves is designed.The PLC central processing unit and the remote control module are used to realize the remote operation of the valve,and finally the adaptive control algorithm is used to realize the self-tuning of the valve parameters.On this basis,according to the response of the system,the self-calibration of the vale parameters is realized.Experiments show that the positioning error of the system in this study is less than 10%during the valve position positioning test,and when the intelligent valve remote control response time test is performed,when the number of system iterations is 900,the response time is 60 s,which is relatively low.It can be seen that the system in this study has higher positioning accuracy,faster response speed and better performance.
作者
洪卫
钟家富
潘益茅
宋吉利
卫鹏
HONG Wei;ZHONG Jiafu;PAN Yimao;SONG Jili;WEI Peng(Zhejiang Zhongde Automatic Control Science and Technology Joint Stock Co.,LTD.Huzhou 313100,China)
出处
《计算机测量与控制》
2022年第6期126-131,共6页
Computer Measurement &Control
关键词
阀门
智能控制
信息技术
远程控制
自适应控制
valve
intelligent control
information technology
remote control
adaptive control
