Research On Control Of Suspension Support System Of Magnetic-electric Hybrid Belt Conveyor

Belt conveyor is one of the most widely used continuous transportation equipment for bulk materials in the world,but the materials and conveying of the conventional belt conveyor are supported by the roller group,causing severe mechanical wear and high energy consumption.The magnetoelectric hybrid belt conveyor is a new type of special transportation equipment.It adopts non-contact support without rollers to avoid friction and energy consumption of rollers,and the conveyor belt attitude can be adjusted and controlled.It has a good application prospect.This paper concerned with the suspension support device of the magnetic-electric hybrid belt conveyor,analyzed its working principle,established a mathematical model of the hybrid magnetic suspension system,linearized the model and analyzed the stability,giving the current control model and Voltage control model.Based on the mathematical model,a hybrid magnetic levitation control system was designed.PID control was used first.The result showed that the system achieved stable suspension after the initial 0.88s shock,and then interfered with the system.After 0.46s,the suspension was stabilized again.The result showed that the PID control of the hybrid magnetic levitation system was able to achieve stable levitation and had certain anti-interference ability.In order to improve the adaptability of the system,a fuzzy PID controller was designed.The result showed that the system achieved stable suspension after 0.41s of initial shock,and tended to the position of the equilibrium point,and the steady-state error gradually decreased.After the disturbance was applied,the stable suspension state time was 0.31s,the fuzzy PID control method was adopted to make the system have more superior system performance.In order to achieve fast and high-precision control of the system,the predictive function control is introduced into the control of the hybrid magnetic levitation system,and the disadvantages of its own anti-interference performance are not optimized.The PID algorithm is used to improve the optimal objective function of the PFC.In order to achieve fast and high-precision control of the system,the predictive function control is introduced into the control of the hybrid magnetic levitation system,and the shortcomings of its own anti-interference performance are optimized.The PID algorithm is used to improve the optimization objective function of PFC,and the PFC-PID optimization model of proportional,integral and differential structures.The improved Grey Wolf Optimizer is used to set the parameters of PFC-PID.The simulation results show that the PFC control reaches a steady state at 0.38s with a steady state error of 0.0025,and the optimized PFC-PID control reaches a steady state at 0.26s with a steady state error of 0.0003.Response speed is faster,steady state error is reduced,and system performance is improved.Figure[36]table[8]reference[62]...