砂浆泵节能调速控制研究  

Slurry Pump Energy Eaving Speed Regulation Control Research

作　　者：张茂杉 王幼民[1] 胡建[1] 

机构地区：[1]安徽工程大学机械与汽车工程学院,安徽芜湖241000

出　　处：《宿州学院学报》2014年第6期83-88,共6页Journal of Suzhou University

基　　金：国家自然科学基金项目"基于隐式协调的自适应制造系统协调控制机制研究"(51305001);省科技攻关项目"脱硫除尘过程装备及其控制系统研发"(12010402105)

摘　　要：为了解决砂浆泵的流量控制问题,建立了砂浆泵流量控制系统的数学模型,并对控制系统的静态性能和动态性能进行了分析。将BP神经网络的智能控制算法用于砂浆泵的流量控制系统中。为了得到最佳的数学模型,运用了极点配置的优化方法,并且运用Matlab/Simulink软件对流量控制系统的性能进行了仿真。最后经过实验证明该控制方法使砂浆泵流量控制系统的控制性能得到很大的提高,表明该控制方法是可行的,可以对砂浆泵的流量起到精确的控制作用,满足生产过程的要求。In order to solve the problem of slurry pump flow control, the mathematical model of the slurry pump flow control system was established and the static performance and dynamic performance of control system was analyzed. Intelligent control algorithm of the BP neural network is used in the fluid flow control system of slur- ry pump. In order to get the optimal mathematical model, the pole assignment optimization method and the Matlab/Simulink software were used to simulate the performance of the fluid flow control system. The experi- ment proves that this control method makes slurry pump flow control system control performance greatly im- proved, which in turn indicates that the control method is feasible and can accurately control the flow of slurry pump and meet the requirements of the production process.

关 键 词：砂浆泵 流量控制系统 计算机仿真 稳定性 能观能控性 极点配置实验 

分 类 号：TP272[自动化与计算机技术—检测技术与自动化装置]