Research On Load Estimation And Energy-Saving Control Of Belt Conveyor

In the field of bulk material transportation,belt conveyors have become one of the indispensable transport equipment.In recent years,with the emphasis on "energy saving and consumption reduction",the research on energy-saving control of belt conveyors has received extensive attention.In actual production,due to the unevenness of the coal seam,the conveyor has no load and light load.If the conveyor is still running at a fixed maximum belt speed,the actual output power of the motor will be less than the rated power,resulting in low motor efficiency and waste of energy.At present,the main method for energy saving research of conveyors is to adjust the running speed by establishing a matching relationship between the conveying amount and the running speed,and reduce the power consumption to achieve energy saving purposes.However,in the speed regulation process,there is a lag problem in detecting the coal quantity by the sensor,and the installation position of the sensor also has a great influence on the hysteresis.When the conveyor is running at low speed,the coal quantity suddenly increases,and the conveyor can't speed up in time,which will cause the occurrence of coal and coal spills on the conveyor belt.In order to solve the above problem,it is proposed to use the tension change rate as an auxiliary factor,and when the sensor does not detect the coal quantity information,the auxiliary speed increase avoids the above-mentioned failure.Firstly,the dynamic model of the belt conveyor starting process is established,and its operation status during the starting process is analyzed.Based on the actual operation,a time-varying system dynamics model based on material density was established to analyze the dynamic characteristics of the conveyor under variable load conditions.Secondly,based on the state reconstruction method,the state observer is used to estimate the state quantity of the system,and then the rate of change of the tension at the driving roller is obtained.Combined with the measured value of the material density of the electronic belt scale,the coal quantity identification system is designed and applied fuzzy.The reasoning principle leads to a reasonable running speed value,and the belt conveyor is controlled to adjust the running speed through the self-tuning fuzzy PID controller to ensure the conveyor running more stable.Finally,using MATLAB/Simulink to build a simulation model,simulation of the start and load process dynamics model,state observer model,coal volume identification system model and self-tuning fuzzy PID model,combined with NI CompactRIO hardware and LabVIEW software for hardware-in-the-loop Experimental verification.It is verified that the accuracy of the output speed of the coal quantity identification system is high,and the self-tuning fuzzy PID controller in the speed control system has good stability and strong anti-interference ability.