基于RVM的單繞組磁懸浮開關(guān)磁阻電機逆解耦控制研究
[Abstract]:With the development of social industry, the performance demand of motor is increasing day by day, and the motor loaded with mechanical bearing is limited by the limit speed. Magnetic levitation switched reluctance motor (BSRM) has remarkable application value in locomotive traction, textile industry, new energy technology and so on by introducing maglev technology into switched reluctance motor (SRM). It has the characteristics of high electromechanical conversion efficiency, small axial space, ultra-high speed and so on. Single winding maglev switched reluctance motor (SWBSRM) has been widely studied by changing the winding structure of BSRM, which has the advantages of simple structure, reliable operation and convenient control. Although SWBSRM has many advantages, it also has the characteristics of nonlinear and strong coupling, and the coupling between torque and levitation force is serious. However, the traditional inverse decoupling method needs to solve the analytical expression of the inverse model strictly, so it is difficult to realize. In order to solve this problem, a new inverse model decoupling control method for 12 / 8 pole SWBSRM is proposed in this paper. the feasibility and superiority of the method are verified by simulation, which lays a solid foundation for the practical application of the motor. The specific research contents and related results are as follows: (1) the working principle of 12 x 8 pole SWBSRM is analyzed, and its advantages over BSRM are expounded. Based on virtual displacement method and equivalent magnetic circuit method, the mathematical model of radial levitation force and torque of motor is derived, and the design method of motor body parameters is given. the reliability of the model is verified by simulation. The simulation results show that the mathematical model accurately reflects the motor related characteristics. (2) the influence of 12 脳 8 pole SWBSRM body parameters on the motor performance is analyzed by finite element simulation. The key parameters are optimized by PSO, and the maximum average levitation force and average torque of the motor in one cycle are taken as the objective function, and the concrete optimization process is described. The simulation results show that the motor performance has been significantly improved after PSO optimization. (3) aiming at the coupling problem existing in 12 脳 8 pole SWBSRM, the inverse system model is constructed by correlation vector machine algorithm, which is connected in series to the original system, the original nonlinear system is decoupling into pseudo-linear system, and the closed-loop control of the system is carried out by PID algorithm, and the motor torque is realized. Accurate decoupling control of rotor radial displacement. The simulation results show that the motor has good decoupling effect and strong anti-interference ability. (4) A high-speed digital control system based on DSP and FPGA is constructed. starting with the overall framework of the control system, the power conversion circuit, signal detection circuit and the communication interface between DSP and FPGA are designed to prepare for the next experiment.
【學(xué)位授予單位】:江蘇大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TM352
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