感应电机双PWM变流器模型预测控制研究
发布时间:2018-11-11 01:16
【摘要】:感应电机双PWM变流器由PWM整流器和PWM逆变器通过直流环节连接构成,研究其控制策略对于提高系统性能具有重要意义。近年来,模型预测控制凭借其在解决多约束、多目标优化等方面的优势,在电力电子领域得到诸多应用。本文对感应电机双PWM变流器有限控制集模型预测控制(FCS-MPC)及改进控制策略进行了研究。 首先,以两电平PWM整流器为对象,介绍了FCS-MPC策略的基本原理。针对FCS-MPC存在的开关频率非恒定和采样频率较高的缺点,,给出了一种PWM整流器有限开关序列模型预测电流控制(FSS-MPCC)策略。PWM整流器FSS-MPCC通过构建12组开关序列作为控制集,采用无差拍控制方式求取每组开关序列内各个开关状态的作用时间,构建目标函数,在线寻优。通过MATLAB软件验证了PWM整流器FSS-MPCC的有效性,并与FCS-MPC进行了对比分析,表明了所给出的FSS-MPCC能在较低采样频率下实现恒频控制,且仍具有FCS-MPC的高动态性能。 其次,研究了一种三电平PWM整流器模型预测电流控制(MPCC)策略。针对中点电位波动问题,分析了不同电压矢量对中点电位的影响,给出了一种基于查表的中点电位平衡控制方法。建立了三电平PWM整流器αβ坐标系下的数学模型,设计了三电平PWM整流器MPCC控制系统,并进行延时补偿。对整流器MPCC系统进行了仿真分析,验证了所给出的中点电位平衡方法的有效性。 再次,为优化MPCC寻优过程、减少计算量,给出了一种感应电机NPC三电平逆变器准无差拍模型预测电流控制(QD-MPCC)策略。设计了感应电机QD-MPCC准无差拍控制器,求出电机定子给定电压矢量,预测定子电流,构建目标函数,从其所处扇区包含的电压矢量中寻优,减少滚动次数,提升寻优效率,进而减少计算耗时。设计了基于QD-MPCC的感应电机控制系统,进行了数字延时补偿,在系统中采用了一种闭环磁链观测器以提高磁链观测精度。通过仿真验证了感应电机QD-MPCC策略的有效性,表明了感应电机QD-MPCC系统具有良好的动静态性能和较强的鲁棒性。 最后,介绍了PWM整流器实验平台和感应电机QD-MPCC系统实验平台,进行了实验研究,分析了实验结果,进一步验证了所述控制策略的有效性。
[Abstract]:The double PWM converter of induction motor is composed of PWM rectifier and PWM inverter connected by DC link. It is very important to study its control strategy for improving the system performance. In recent years, model predictive control (MPC) has been widely used in power electronics field because of its advantages in solving multi-constraint and multi-objective optimization. In this paper, the finite control set predictive control (FCS-MPC) and improved control strategy for dual PWM converter of induction motor are studied. Firstly, the basic principle of FCS-MPC strategy is introduced based on the two-level PWM rectifier. Aiming at the disadvantage of unsteady switching frequency and high sampling frequency in FCS-MPC, This paper presents a predictive current control (FSS-MPCC) strategy for finite switching sequence model of PWM rectifier. PWM rectifier FSS-MPCC constructs 12 sets of switching sequences as control set. The action time of each switching state in each group of switch sequences is obtained by using the deadbeat control method, and the objective function is constructed to search for the best on line. The validity of PWM rectifier FSS-MPCC is verified by MATLAB software, and compared with that of FCS-MPC. It is shown that the proposed FSS-MPCC can realize constant frequency control at lower sampling frequency and still has the high dynamic performance of FCS-MPC. Secondly, a three-level PWM rectifier model predictive current control (MPCC) strategy is studied. The effect of different voltage vectors on midpoint potential is analyzed, and a control method of midpoint potential balance based on look-up table is presented. The mathematical model of three-level PWM rectifier in 伪 尾 coordinate system is established, and the MPCC control system of three-level PWM rectifier is designed, and the delay compensation is carried out. The simulation analysis of rectifier MPCC system is carried out to verify the effectiveness of the proposed midpoint potential balance method. Thirdly, in order to optimize the MPCC optimization process and reduce the computational complexity, a quasi-deadbeat model predictive current control (QD-MPCC) strategy for NPC three-level inverter of induction motor is presented. The QD-MPCC quasi beat controller of induction motor is designed, the stator voltage vector is given, the stator current is predicted, the objective function is constructed, and the optimization is obtained from the voltage vector contained in the sector, which can reduce the rolling times and improve the optimization efficiency. Thus, the computational time is reduced. The control system of induction motor based on QD-MPCC is designed, and the digital delay compensation is carried out. A closed loop flux observer is used to improve the observation accuracy of the flux. The effectiveness of the QD-MPCC strategy of induction motor is verified by simulation. It is shown that the induction motor QD-MPCC system has good dynamic and static performance and strong robustness. Finally, the experimental platform of PWM rectifier and QD-MPCC system of induction motor is introduced. The experimental results are analyzed and the effectiveness of the control strategy is further verified.
【学位授予单位】:中国矿业大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TM46
本文编号:2324091
[Abstract]:The double PWM converter of induction motor is composed of PWM rectifier and PWM inverter connected by DC link. It is very important to study its control strategy for improving the system performance. In recent years, model predictive control (MPC) has been widely used in power electronics field because of its advantages in solving multi-constraint and multi-objective optimization. In this paper, the finite control set predictive control (FCS-MPC) and improved control strategy for dual PWM converter of induction motor are studied. Firstly, the basic principle of FCS-MPC strategy is introduced based on the two-level PWM rectifier. Aiming at the disadvantage of unsteady switching frequency and high sampling frequency in FCS-MPC, This paper presents a predictive current control (FSS-MPCC) strategy for finite switching sequence model of PWM rectifier. PWM rectifier FSS-MPCC constructs 12 sets of switching sequences as control set. The action time of each switching state in each group of switch sequences is obtained by using the deadbeat control method, and the objective function is constructed to search for the best on line. The validity of PWM rectifier FSS-MPCC is verified by MATLAB software, and compared with that of FCS-MPC. It is shown that the proposed FSS-MPCC can realize constant frequency control at lower sampling frequency and still has the high dynamic performance of FCS-MPC. Secondly, a three-level PWM rectifier model predictive current control (MPCC) strategy is studied. The effect of different voltage vectors on midpoint potential is analyzed, and a control method of midpoint potential balance based on look-up table is presented. The mathematical model of three-level PWM rectifier in 伪 尾 coordinate system is established, and the MPCC control system of three-level PWM rectifier is designed, and the delay compensation is carried out. The simulation analysis of rectifier MPCC system is carried out to verify the effectiveness of the proposed midpoint potential balance method. Thirdly, in order to optimize the MPCC optimization process and reduce the computational complexity, a quasi-deadbeat model predictive current control (QD-MPCC) strategy for NPC three-level inverter of induction motor is presented. The QD-MPCC quasi beat controller of induction motor is designed, the stator voltage vector is given, the stator current is predicted, the objective function is constructed, and the optimization is obtained from the voltage vector contained in the sector, which can reduce the rolling times and improve the optimization efficiency. Thus, the computational time is reduced. The control system of induction motor based on QD-MPCC is designed, and the digital delay compensation is carried out. A closed loop flux observer is used to improve the observation accuracy of the flux. The effectiveness of the QD-MPCC strategy of induction motor is verified by simulation. It is shown that the induction motor QD-MPCC system has good dynamic and static performance and strong robustness. Finally, the experimental platform of PWM rectifier and QD-MPCC system of induction motor is introduced. The experimental results are analyzed and the effectiveness of the control strategy is further verified.
【学位授予单位】:中国矿业大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TM46
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