双级矩阵变换器驱动电动机预测控制研究
[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
【参考文献】
相关期刊论文 前10条
1 程启明;黄伟;程尹曼;徐聪;郭凯;;双级矩阵变换器驱动永磁同步电机的混合非线性控制系统[J];电工技术学报;2017年04期
2 牛峰;李奎;王尧;;永磁同步电机模型预测直接转矩控制[J];电机与控制学报;2015年12期
3 王萌;施艳艳;沈明辉;王海明;逯亚莹;祁明艳;;三相电压型整流器模型电压预测控制[J];电工技术学报;2015年16期
4 张杰;柴建云;孙旭东;陆海峰;;双三相异步电机电流预测控制算法[J];电工技术学报;2015年09期
5 张永昌;杨海涛;;异步电机无速度传感器模型预测控制[J];中国电机工程学报;2014年15期
6 郑泽东;陈宁宁;李永东;;基于模型预测控制的异步电机弱磁控制新方法[J];电工技术学报;2014年03期
7 沈坤;章兢;王坚;;一种多步预测的变流器有限控制集模型预测控制算法[J];中国电机工程学报;2012年33期
8 李玉玲;王克柔;林辉品;张仲超;;三相Boost并网逆变器的离散时间预测控制[J];中国电机工程学报;2011年15期
9 李景灿;廖勇;;考虑饱和及转子磁场谐波的永磁同步电机模型[J];中国电机工程学报;2011年03期
10 王晶鑫;姜建国;;矩阵变换器驱动感应电机转矩和转子磁链控制[J];电机与控制学报;2010年07期
相关博士学位论文 前1条
1 许芳;快速模型预测控制的FPGA实现及其应用研究[D];吉林大学;2014年
相关硕士学位论文 前3条
1 齐庭庭;双级矩阵变换器的预测控制策略研究[D];湘潭大学;2013年
2 杨超;考虑磁路饱和的同步磁阻电机控制策略研究[D];重庆大学;2013年
3 魏西平;双级矩阵变换器的仿真与实验研究[D];西安理工大学;2010年
,本文编号:2214737
本文链接:https://www.wllwen.com/kejilunwen/dianlidianqilunwen/2214737.html