Research On Intelligent Control Method Of Vibration-slow Shear Crusher

Vibration-slow shear crusher is a set of crushing equipment independently developed by this subject team,comprehensively utilizing vibration breaking principle and shearing crushing principle.The crusher has the advantages of simple operation,low manufacturing cost,large breaking ratio,unplugging,etc.,so it has become the frontier equipment which has attracted much attention in the field of ultra fine crushing in recent years.However,the control mode is mainly open loop control,and the function of the control system is mainly confined to the monitoring and alarm of the main motor load,spindle speed and other working parameters.Therefore,by improving the degree of automation to improve its control effect and control accuracy,it has high research value and significance for improving the crushing effect and automatic control level of the vibration-slow shear crusher.In this paper,the vibration slow-shear crusher is taken as the research object.Through the combination of theoretical analysis,experimental exploration and simulation analysis,a variety of sensors are used to detect multiple operating parameters of the crusher equipment.Taking the control precision and overshoot as the control target of the intelligent control system,an intelligent control method for optimizing fuzzy PID controller based on improved genetic algorithm is proposed to realize the efficient and stable operation of the vibration slow-shear crusher.The main research results are as follows:(1)By analyzing the working principle and the process characteristics of the vibration slow-shear crusher,the relation between the parameters of the crusher is analyzed,and the input and output parameters and system structure of the control system are obtained.The control accuracy and overshoot are determined as the control target of the control system.It determine that four main parameters,such as vibration motor frequency,feed quantity,main motor operation current and mineral material yield,which have a large influence on productivity and energy consumption.(2)Combining the control requirements of the vibration slow shear crusher,the function of the control system of the crusher and its implementation method are determined,and it is determined that the feed amount is adjusted by the current deviation and the rate of change of the current deviation.To adjust the frequency of the vibration motor through the rate deviation and the rate of rate deviation,and the method of using two fuzzy PID controllers to connect in parallel is a multi-parameter input and output system.(3)On the basis of fuzzy control and PID control,the fuzzy controller with multi-inputand multi-output is optimized by genetic algorithm,and its control rules and fuzzy partition are obtained.The simulation results show that the fuzzy PID controller with improved genetic algorithm has better control effect and improves the control precision and speed of the fuzzy PID controller.(4)Using LabVIEW and MATLAB mixed programming methods,the Simulink simulation of MATLAB is invoked through the SIT toolkit to improve the genetic algorithm to optimize the fuzzy PID control model.Using the method of OPC server to achieve the communication between LabVIEW and PLC,to establish the intelligent control platform of vibration-slow shear crusher based on PLC.The experimental results show that this method can be effectively applied to the intelligent control system of the vibration-slow shear crusher,which provides a theoretical basis for improving the automatic control performance of the crusher.