复杂管网气力输送控制系统的研究  

Study on control system of pneumatic conveying in complicated ductwork

作　　者：赵军[1] 王晓宁[1] 王法良[1] 郑丹[1] 黄军徽[1] 胡寿根[1] 

机构地区：[1]上海理工大学动力工程学院,上海200093

出　　处：《仪器仪表学报》2006年第z3期1868-1869,共2页Chinese Journal of Scientific Instrument

基　　金：上海市教委(05EZ15);上海理工大学青年基金(04XQN005);博士启动基金(A013)

摘　　要：通过对水平T型气力输送管道中气固两相流动阻力特性的系统研究,确定出降低输送过程能耗的措施,针对输送过程中的一些状态量难以用常规的方法调节和控制的问题,提出了采用基于BP神经网络整定的PID控制方法,并设计了相应的控制器和控制系统。该系统应用于砂石气力输送过程中临界流速的控制,反应迅速、调节平稳,控制效果良好。The resistance properties of gas-solids two-phase flow in branch pipes to determine the methods of decreasing the transporting energy loss are expatiated in this paper. Based on BP neural networks, the PID controller is designed and the corresponding control system is established to realize the determinate adjust and control of some important parameters during pneumatic transport process, which are nearly impossible with the routine methods. Used in the control of the critical velocity of sand pneumatic conveying, it is obtained that this system may rapidly and calmly react and the effects of control are satisfying.

关 键 词：复杂管网 BP神经网络 PID 临界流速 

分 类 号：TH7-55[机械工程—仪器科学与技术]