砂浆泵节能调速控制研究

Slurry Pump Energy Eaving Speed Regulation Control Research

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.