基于改进相关向量机的单绕组磁悬浮开关磁阻电机无位置传感器控制研究

发布时间：2018-01-14 14:16

本文关键词：基于改进相关向量机的单绕组磁悬浮开关磁阻电机无位置传感器控制研究　出处：《江苏大学》2017年硕士论文　论文类型：学位论文

【摘要】：高速磁悬浮开关磁阻电机(BSRM)是磁轴承和开关磁阻电机相结合的产物,具有简单耐用、性能可靠、高功率密度、高容错性等优点,能够很好地适应高速、重载等各种恶劣环境,在飞轮储能系统、多电/全电飞机、分布式发电系统、不间断电源(UPS)、电动/混合动力驱动等应用领域有着十分广阔的前景。BSRM运行控制包含悬浮控制和旋转控制两个组成部分,而稳定悬浮和可靠旋转的前提在于转子位移和位置的实时高精度检测。获得转子位置信号的传统方式是在电机上安装位置传感器,但位置传感器的存在不仅降低了BSRM结构简单的优势,而且限制了电机固有高速性能的发挥。因此,探索新型的无位置传感器技术是BSRM目前研究的重要方向,意义重大。本文以12/8三相单绕组磁悬浮开关磁阻电机(SWBSRM)作为研究对象,对电机数学模型构建,无位置传感器径向位移自检测,电机无位置传感器运行控制和高速数字系统设计等方面进行了研究。具体研究工作和相关成果如下:(1)分析了12/8极SWBSRM的结构和工作原理,基于等效磁路法和虚位移法推导了电感矩阵和磁链方程,给出了电机转矩和径向悬浮力的数学模型,并利用Ansoft Maxwell 2D软件验证了所构建模型的准确性,为建立基于相关向量机的转子径向位移模型奠定基础。(2)引入相关向量机(RVM),并采用差分进化(DE)算法对RVM组合核函数参数进行了优化,推导基于改进RVM的单绕组BSRM转子位置模型。通过自检测系统中检测信号与位移信号的对比验证基于改进RVM无位移传感器自检测方法的可行性。(3)设计基于悬浮系统的鲁棒PID控制器,并基于电流等效法提出了电机电流的控制算法,研究了SWBSRM无位置传感器运行控制系统,并通过Matlab/simulink进行仿真验证。仿真结果表明,所提出的控制策略对电机无位置传感器运行有很好的控制效果,且系统响应速度较快。(4)采用DSP为主控制器,结合FPGA系统集成度高,灵活可靠的优点,构建12/8极SWBSRM高速数字系统;并设计了功率变换电路、电流电压检测电路和转子位置检测电路等硬件模块,为接下来进一步实验做好了准备。
[Abstract]:High speed switched reluctance motor (SRM) is the product of the combination of magnetic bearing and switched reluctance motor, which has the advantages of simple and durable, reliable performance, high power density, high fault tolerance and so on. Can well adapt to high speed, heavy load and other adverse environment, in the flywheel energy storage system, multi-electric / all-electric aircraft, distributed generation systems, uninterrupted power supply (ups). The application field of electric / hybrid power drive has a very broad prospect. BSRM operation control includes two parts: suspension control and rotation control. The premise of stable suspension and reliable rotation is real-time and high-precision detection of rotor displacement and position. The traditional way to obtain rotor position signal is to install position sensor on the motor. However, the existence of position sensor not only reduces the advantages of simple BSRM structure, but also limits the inherent high-speed performance of the motor. Exploring a new type of position sensorless technology is an important research direction of BSRM. In this paper, 12/8 three-phase single-winding switched reluctance motor (SRM) is taken as the research object. For the mathematical model of the motor, the position sensorless radial displacement self-detection. In this paper, the sensorless operation control of the motor and the design of high-speed digital system are studied. The specific research work and related results are as follows: 1) the structure and working principle of the 12/8 pole SWBSRM are analyzed. Based on the equivalent magnetic circuit method and the virtual displacement method, the inductance matrix and the flux chain equation are derived, and the mathematical models of the motor torque and radial suspension force are given. The veracity of the model is verified by Ansoft Maxwell 2D software. In order to establish the radial displacement model of rotor based on correlation vector machine (RVM), the correlation vector machine (RVM) is introduced, and the parameters of RVM combined kernel function are optimized by using differential evolution (DE) algorithm. The rotor position model of single winding BSRM based on improved RVM is derived. The feasibility of the improved RVM sensorless self-detection method is verified by comparing the detection signal with the displacement signal in the self-detection system. 3) robust PID controller based on suspension system is designed. Based on the current equivalent method, the control algorithm of motor current is proposed, and the position sensorless operation control system of SWBSRM is studied. The simulation results by Matlab/simulink show that the proposed control strategy has a good control effect on the sensorless operation of the motor. DSP is adopted as the main controller, and the high speed digital system of 12/8 pole SWBSRM is constructed by combining the advantages of high integration, flexibility and reliability of FPGA system. The hardware modules, such as power conversion circuit, current and voltage detection circuit and rotor position detection circuit, are designed to prepare for further experiments.
【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;TP273

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