Research On Wet Ball Mill Control System

The ball mill grinding control system is a typical nonlinear control system with multiple control variables and strong coupling between variables.The main purpose of this thesis is to improve the control effect and system stability of the ore control and classification control during the grinding process of the ball mill.The ball mill feed control is realized by the particle swarm optimization BP-PID control algorithm based on the conventional PID control algorithm and BP neural network algorithm and particle swarm optimization algorithm research,and the hydrocyclone hierarchical control Then use the dynamic matrix control algorithm in predictive control.First of all,this paper introduces the basic working principle,specific process flow and composition of the control system of the wet ball mill grinding control system.The specific control strategy is selected according to the problems of poor stability of the current ball mill grinding classification process,and the overall design scheme is given.Then,in view of the problem of poor PID control effect and system stability in the ball mill grinding control system,this paper combines the conventional PID control with the BP neural network algorithm to self-tuning the PID parameters.Although the BP-PID control algorithm achieves some optimization than the conventional PID algorithm,it still cannot meet the stability requirements of the grinding control system.Therefore,for the problem of insufficient control stability and poor control precision of BP-PID control algorithm,this paper introduces the BP-PID control algorithm optimized by particle swarm optimization algorithm,and completes the simulation experiment in Matlab environment to verify the optimal control.algorithm.At the same time,in view of the problem that the coupling between the variables is more difficult to solve in the cyclone grading process,this paper uses the dynamic matrix control algorithm to coordinate the relationship between the variables,and simulates the system in Matlab.The simulation results show that the DMC control strategy used in the hierarchical control has a certain effect on solving the coupling problem,and also improves the process index of the classification process.Finally,this thesis combines the ball mill mining control algorithm and the hierarchical control algorithm to design the software and hardware of the control system.The hardware design is mainly composed of the upper computer,the control object,and the selection of the control field detection instrument.The software design mainly includes ball mill feeding equipment control,ball mill and its auxiliary equipment control,Wincc flexible monitoring interface configuration and communication.After completing the software and hardware design of the control system,the control system is debugged on site and the actual operation effect of the control system is detected.Through the research and design of the wet ball mill control system,it can provide certain guiding significance for the design work of the beneficiation operation control system.