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基于RVM的单绕组磁悬浮开关磁阻电机逆解耦控制研究

发布时间:2019-06-29 11:36
【摘要】:社会工业的发展对电机的性能需求日益增高,普通装载机械轴承的电机受到极限转速的限制。磁悬浮开关磁阻电机(BSRM)通过在开关磁阻电机上引入磁悬浮技术,兼备机电转换效率高、轴向空间小、超高转速等特点,在机车牵引、纺织工业、新能源技术等方向有着显著的应用价值。单绕组磁悬浮开关磁阻电机(SWBSRM)通过改变BSRM的绕组结构,具备结构简单、可靠运行、控制方便等优点,受到广泛的研究。虽然SWBSRM具备诸多优势,但也存在非线性、强耦合的特性,其转矩与悬浮力耦合严重,而传统逆解耦方法需要对象逆模型的解析表达式严格求解,很难实现。针对此问题,本文对12/8极SWBSRM提出一种新的逆模型解耦控制方法,通过构建仿真验证了该方法的可行性和优越性,为电机在实际应用中打下了坚实的基础。具体研究内容和相关成果如下:(1)分析了12/8极SWBSRM的工作原理,阐述了其相比于BSRM优势所在。基于虚位移法和等效磁路法推导出电机的径向悬浮力和转矩的数学模型,给出了电机本体参数设计方法,通过仿真验证所构建模型可靠性。仿真结果表明,所构建的数学模型准确反应了电机相关特性。(2)通过有限元仿真分析12/8极SWBSRM本体参数对电机性能的影响,运用PSO对关键参数优化设计,以绕组导通一个周期内电机平均悬浮力和平均转矩最大为目标函数,阐述了具体优化过程。仿真验证了经PSO优化后电机性能得到了显著提升。(3)针对12/8极SWBSRM内部存在的耦合问题,验证模型可逆性,采用相关向量机算法构造其逆系统模型,将其串联在原系统之前,将原来的非线性系统解耦成伪线性系统,采用PID算法对系统进行闭环控制,实现了电机转矩、转子径向位移精确解耦控制。仿真结果表明,电机解耦效果优良,抗干扰能力强。(4)构建了以DSP与FPGA为核心的高速数字控制系统,从控制系统的总体框架入手,设计了功率变换电路、信号检测电路以及DSP与FPGA之间的通讯接口,为下一步实验做出准备。
[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.
【学位授予单位】:江苏大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TM352

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