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双级矩阵变换器驱动电动机预测控制研究

发布时间:2018-08-31 10:41
【摘要】:交流调速系统的主要供电设备是电力变换器,而传统的电力变换器一直无法克服变换器本身固有的缺陷。由于双级矩阵变换器(Two-stage Matrix Converter, TSMC)直流侧无储能电容,节约成本的同时缩小了装置体积,性能上可实现输入输出电流正弦、输入功率因数可控且能量双向流动,是一种非常具有发展潜力的新型“绿色”电力变换器。驱动电机时使系统具有优良传动性能的同时,更对电网无谐波污染。TSMC直流侧无储能环节这一特点使得整流和逆变两级存在相互耦合的问题,在驱动电机系统中,变换器的输出侧电压电流关系到电机的传动性能,同时输入侧电流又关系到电网电能质量。然而传统的空间矢量调制策略是一种近似开环控制,无法消除这种耦合影响,并且很多场合对电机控制性能的要求越来越高,传统的控制方法已难以满足高性能的控制需求。针对上述问题,本文提出用预测控制实现TSMC驱动电机的一体化控制,利用网侧输入电压、电流、开关电路输入侧电压、TSMC开关矩阵模型和电机定子电流及转子角速度,建立TSMC驱动电机系统数学模型并离散化,依据离散数学模型建立下一时刻输入无功功率、电机定子磁链和电磁转矩与各自参考值之间误差的功能函数,以此功能函数为约束对TSMC的开关状态进行寻优,利用最优开关状态实现电机控制。在确保良好网侧性能的同时,更有效地克服了模型误差和外部环境干扰等不确定因素所造成的影响。为了验证文中所提方案的正确性和有效性,在理论研究的基础上,用仿真和实验进行了方案验证,搭建了以FPGA为控制核心的实验平台并设计了系统软硬件。结果表明:TSMC驱动电机预测控制实现了电机定子磁链、电测转矩分别高精度跟随其参考值,输入无功功率最小的效果,使系统具有优良的网侧和传动性能。
[Abstract]:The main power supply equipment of AC speed regulation system is the power converter, but the traditional power converter can not overcome the inherent defects of the converter itself. Because the two-stage matrix converter (Two-stage Matrix Converter, TSMC) has no energy storage capacity at the DC side, the cost is saved and the device volume is reduced. The sinusoidal input and output current, the controllable input power factor and the two-way energy flow can be realized in the performance of the converter. It is a new type of "green" power converter with great potential for development. When driving the motor, the system has excellent transmission performance and no harmonic pollution. TSMC DC side has no energy storage link, which makes the two stages of rectifier and inverter coupled with each other. In the drive motor system, The output voltage and current of the converter are related to the drive performance of the motor and the input current is also related to the power quality of the power grid. However, the traditional space vector modulation strategy is a kind of approximate open-loop control, which can not eliminate the coupling effect, and in many cases, the control performance of the motor is more and more demanding. The traditional control method has been difficult to meet the high performance control requirements. In order to solve the above problems, a predictive control method is proposed to realize the integrated control of the TSMC motor. The input voltage, current, input voltage of the switch circuit and the stator current and rotor angular velocity of the motor are used in this paper. The mathematical model of TSMC drive motor system is established and discretized. According to the discrete mathematical model, the function of input reactive power, the error between stator flux and electromagnetic torque and their reference value is established. The switching state of TSMC is optimized by the function, and the motor control is realized by the optimal switching state. At the same time, it can effectively overcome the influence of uncertainty such as model error and external environment disturbance. In order to verify the correctness and validity of the proposed scheme, based on the theoretical research, the scheme is verified by simulation and experiment. The experimental platform with FPGA as the control core is built and the software and hardware of the system are designed. The results show that the predictive control of the 1: TSMC drive motor realizes the stator flux linkage of the motor, the high precision of electric torque following its reference value, and the minimum input reactive power, which makes the system have excellent network side and transmission performance.
【学位授予单位】:西安理工大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TM46

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