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Research On Controlled Permanent Magnetic Levitation Belt Conveyor Support System

Posted on:2024-09-11Degree:MasterType:Thesis
Country:ChinaCandidate:W Q QianFull Text:PDF
GTID:2532307127972539Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
Belt conveyor is a friction-driven machine for continuous transportation of materials,which is widely used in metallurgy,coal,transportation and other fields.However,there are still more problems in the study of belt conveyor support system,so for the problems such as rotational resistance generated by the belt conveyor roller bearings,this paper proposes a new type of controllable permanent magnetic levitation belt conveyor,consisting of controllable permanent magnetic support device,conveyor belt,support frame,return roller(ordinary roller),tension roller and drive roller,etc.This belt conveyor achieves low resistance operation through controllable permanent magnetic levitation technology,which greatly reduces the frictional resistance.Among them,the controllable permanent magnet support device is divided into servo motor,double radial permanent magnets,magnetic guide,permanent magnet patch and roll shaft,etc.,which is studied and analyzed through theory,simulation and experiment,and the specific research work is as follows:(1)The single-point controllable permanent magnet support system is studied by finite element method(FEM),and the key structural parameters affecting the magnetic field distribution of the system are optimized by using Ansoft Maxwell simulation software to analyze the influence of different rotational directions of the dual radial permanent magnets on the suspension force of the system.Then the equivalent magnetic charge method is used to calculate the magnetic induction intensity on the surface of the permanent magnet patch,and the magnetic path method is used to divide the flux path of the magnetic conductor in the system into multiple regions,establish the analytic formula of the flux path at each place,deduce the flux model of the leg of the magnetic conductor,combine with the force relationship between the permanent magnets,establish the system levitation force model and analyze to determine the values of its levitation force correction coefficientλ1 and air gap correction coefficientε.Secondly,based on the mechanics principle,the torque model of the double radial permanent magnet is established combined with the simulation test to determine the torque coefficient kt and the leakage compensation coefficient△zτsize in the model.Both the levitation force and torque models are linearly expanded at the stable levitation point to establish their kinematic equations.(2)The magnetic levitation system is an extremely unstable system with high requirements for the accuracy of the measurement signal.In order to reduce the influence of noise interference in the actual sensor measurement signal,the measurement signal of the sensor in the single-point controlled permanent magnet system is optimized by combining the political optimizer algorithm(PO algorithm)and the Kalman filtering algorithm(KF algorithm).For the deficiency of Kalman filtering algorithm which is difficult to obtain the statistical characteristics of noise,the corresponding filtering parameters are accurately found in combination with the political optimizer algorithm.(3)Control study of single-point controllable permanent magnet support system by PID algorithm based on the previous dynamic equations to verify the stability and controllability of its new structure in terms of dynamic performance;Considering that the single-stage PID control cannot meet the requirements of the magnetic levitation system such as fast response speed and strong resistance to dryness,the kinematic equations of the system are combined with a double closed-loop PID algorithm for control,thus improving the performance and response speed of the levitation system;An experimental platform is built to verify the controllability of the dual closed-loop PID algorithm,and an optimized Kalman filtering algorithm is used to reduce the noise of the detection signal to enhance the accurate control of the maglev system.Figure[45]Table[6]Reference[98]...
Keywords/Search Tags:Radial magnetization, FEM, levitation force, PO algorithm, KF algorithm
PDF Full Text Request
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