| Maglev control technology is the kernel of EMS(Electromagnetic Suspension) medium-low speed maglev train. At present, EMS medium-low speed maglev train has already overcome basic maglev control and traction problems with independent intellectual property rights in china. The research focus of maglev control technology turns to improve the performance of maglev control system, the stability and reliability of maglev vehicle in engineering. Traditional method based on current feedback has small range of parameter stability, large overshoot, and wide bandwidth. The old method needs to improve stable performance, tracking performance, and anti jamming performance. Maglev system with current feedback method has wide bandwidth, so it is vulnerable to high frequency interference and vehicle track coupling vibration occasionally occurs. In order to overcome shortcomings of the conventional control method, the magnetic flux signal is introduced into maglev system in this paper. Suspension force is a single variable function about magnetic flux signal without coupling of other variables. The magnetic flux signal can contribute to adjustment of the suspension force easily. Maglev control system based on magnetic flux feedback method has advantages over traditional current feedback method in improving maglev control performance. This paper has researched novel magnetic flux feedback control method in maglev system by combining theory research and experimental analysis. The main works and innovation points of this dissertation have been summarized as follows.[1] Based on single point suspension system, this paper takes magnetic flux signal as a state variable and establishes maglev system model with magnetic flux feedback. Then the good and bad traits of novel magnetic flux feedback method compared with current feedback method is researched. The novel method has more advantages, including wide range of parameter stability, minor overshoot, and narrow bandwidth.[2] Several different means to acquire magnetic flux signal are discussed in this dissertation. Considering actual situation of maglev project, electromagnetic induction integration way is chosen to measure magnetic flux signal. As for the delay of magnetic flux signal, the prerequisite of HOPF bifurcation is analysed. The suspension position and magnetic flux double loops PIDB control algorithm has been brought up in this paper to offer more advanced damping signal.[3] The influence on the coupling of module double points is researched by adopting magnetic flux feedback control method in suspension system. This paper has simplified geometric coupling relationship among module double points, defined degree of coupling, analyzed quantitatively coupling relation between suspension module double points, and designed module uncoupling controller based on magnetic flux feedback method. Lots of simulational and experimental results has demonstrated that novel magnetic feedback control method can effectively depress coupling between module double points, and also improve stability and robustness of module suspension system.[4] A vehicle-track coupling system model has been founded. Magnetic flux feedback gain’s augment could help to promote stability of vehicle-track coupling system, and the stable condition of coupling system has been given. HOPF bifurcation’s necessary condition of maglev system is acquired through lots of analysis. This condition provides scientific basis for the design of maglev control parameters’ design, and also contributes to promoting stability and reliability of maglev control system.[5] Based on magnetic flux feedback control method in EMS system, the novel method could also be applied to PEMS(Permanent Electromagnetic Suspension) system. The hybrid suspension system model has been given with magnetic flux feedback control method in this dissertation. The influences on maglev control system by the change of permanent magnet’s parameters and magnetic flux feedback gain are researched in detail. A hybrid suspension PIDB controller based on magnetic flux feedback method has been given and its feasibility is verified by several experiments. |
PDF Full Text Request