The Study Of Fuzzy Controller Of Hybrid Suspension System Made Of High Temperature Superconductor And Normal Conductor Coils

As a perfect novel vehicle on land, maglev train has been successfully put into practice. But in traditional EMS system, current in the windings is big, energy loss cannot be ignored, temperature of the windings is much heat. Therefore, the enlargement of gap is limited. Aiming at these shortcomings, hybrid suspension system becomes a research hotspot in the world. These hybrid suspension systems have great advantage in saving power and increasing air gap. But the control method over them is much more difficult and complicated. In this dissertation, fuzzy control strategies are researched to tackle the suspension system with hybrid electromagnets made of high temperature superconductor (HTS) and normal conductor coils.In this dissertation, the hybrid suspension experiment platform is devised, which is the control object. First, the state-space model and its transfer function model of this object are established, after analyzing the controllablity, the PID controller is designed and simulated using Matlab/Simulink. Second, based on fuzzy control theory, three types of fuzzy controller are designed and simulated. Fuzzy controller can use human experience and knowledge, it also is a nonlinear controller, therefore it needs not depending precious mathematic model of the system, but also becomes much more robust with faster response time and less overshoot than its conventional counterpart. Third, based on the result of simulation, features and performances of each controller are compared. At last, the hardware and software of the controller are designed with the TMS320F2812 (a digital signal processor). The experiment results show that fuzzy controller could keep the hybrid suspension system stable suspension.