Study On Magnetic Suspension Control System Based On Matlab

With the growth of demand for high speed in industrial production and human life, maglev technology has become the focus in the academic circle. The thesis is mainly about the analysis and design for GML maglev test platform based on Matlab, in which system construction, modeling and controller design will be described in detail.Firstly, as for system construction, the real-time maglev control system and the dual-PC mode of the remote monitoring system are respectively built according to the Matlab toolbox of RTW and xPC Target. In RTW, namely in a single PC-work mode, the controller of the system in which PCI-1711 is chosen for the system I/O port of the plant is directly developed in Simulink; Similarly, in xPC Target, to execute the dual mode of remote monitoring system, the PC for the RTW system is taken as a target machine, which is communicated with the host machine by RS-232 and the PCI-1711 card driver is also developed based on S-function.Secondly, with regard to modeling, mechanism modeling is introduced, and optimization is also used for model adjustment. The structural model is created by the analysis of physical laws. And in the Simulink, the initial model is established by S-function module according to the initial calibration data of the sensor and the initial reference physical data. Then, to get good parameters for the model, the optimization function was called by the principle of the minimum IAE(Integral Absolute Error) for the error between the experimental data and the simulated results.Finally, in the analysis and design on controllers, the good performance of stability, tracking and anti-jamming will be ensured. At first, the magnetic levitation system with PID controller is built up, based on which real-time control experiments in the controllable scope are performed and characteristics of the suspensed body is also evaluated; Then, to achieve the tracking of the input within the controllable scope, the magnetic suspension system with the adaptive PID controller is established by the S-function Biulder based on the optimized PID parameters; Futhermore, based on the experience for PID regulation, fuzzy rules are sumed up, and the fuzzy controller is established by Fuzzy toolbox, with which the simulations and analysis for results are carried out; At last, the fuzzy control table is given according to the fuzzy controller in simulation, and the construction of the adaptive controller is also adopted to get the adaptive fuzzy PID controller. What's more, the analysis on the dynamic and static performance is also presented in the thesis. Results show that the adaptive fuzzy PID controller is designed successfully because of the improved ability to adapt to different signals and better performance compared to PID and adaptive PID controller in the experiment.