Design And Control Algorithm Optimization Of Frequency Conversion Automatic Tension Device For Belt Conveyor

With the rapid development of the coal industry,belt conveyor as an important part of the comprehensive mining equipment,development and update is an inevitable trend,especially the tension device,has been replaced by the mechanical and electrical hydraulic integration of the automatic structure of the original simple mechanical structure.Hydraulic tension device and frequency conversion automatic tension device are the main tension mode of belt conveyor in coal mine at present.The hydraulic automatic tension device used in the actual production has the problems of oil leakage,high failure rate and low tension efficiency.While the frequency conversion automatic tension device can meet the tension required in the work of the belt conveyor,it can also avoid the problems of the hydraulic tension device.The current motor used in the frequency conversion automatic tension device is permanent magnet synchronous motor,and the permanent magnet synchronous motor has a good low-speed belt load The utility model greatly simplifies the structure of the frequency conversion automatic tension device,and the driving transmission efficiency has been significantly improved.In this paper,the DSJ160/350/3×500 extensible belt conveyor is taken as the prototype.According to the point by point tensiometer algorithm,the detailed tension calculation of its conveyor belt is carried out,and the minimum tension required by the tensioning device is obtained.Based on the minimum tension,the permanent magnet synchronous motor,wire rope,frequency converter and tension sensor in the permanent magnet frequency conversion automatic tensioning device are selected,and the pulley and roller are fed The simulation model of PMSM frequency control system is established in Matlab / Simulink,and the PID controller parameters of its speed control loop are optimized by using particle swarm optimization algorithm and genetic algorithm.The whole model of belt conveyor is established in AMESim,which is combined with Simulink for simulation,and the conventional PID control,the PID control based on Particle Swarm Optimization algorithm and the PID control based on The dynamic characteristic curve under the PID control of Genetic Algorithm is compared and analyzed with the simulation results.By comparing the dynamic characteristic curves of the tension car under four working conditions of starting,full speed running,tail moving and controlled stopping of the belt conveyor under different control modes,it can be seen that the response of the tension car under the PID control based on the Particle Swarm Optimization algorithm is the fastest,the vibration amplitude is the smallest,the adjustment time is the shortest,and the time to achieve stability is the least,which indicates the PID control optimized by the particle swarm optimization algorithm The device has better control effect,so as to ensure that the real-time tension capacity of the tension device is higher,and the operation of the belt conveyor is more stable and safe.