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西南交通大学电气工程学院,四川省成都市 610031
夏文婧(1993—),女,硕士研究生,主要研究方向:电力牵引交流传动及其控制。E-mail:xiawenjing2018@163.com
刘碧(1991—),男,博士研究生,主要研究方向:电力牵引交流传动及其控制。E-mail:b_liu_2014@163.com
王嵩(1983—),男,通信作者,博士,硕士生导师,主要研究方向:电力牵引交流传动及其控制。E-mail:songwang @swjtu.edu.cn
收稿日期:2019-03-15,
修回日期:2019-06-14,
网络出版日期:2019-10-21,
纸质出版日期:2020-01-10
移动端阅览
夏文婧,刘碧,王嵩等.基于输入端电压动态分量优化的PWM整流器模型预测控制[J].电力系统自动化,2020,44(01):200-207.
XIA Wenjing,LIU Bi,WANG Song,et al.Model Predictive Control of PWM Rectifiers Based on Dynamic Component Optimization of Input-port Voltage[J].Automation of Electric Power Systems,2020,44(01):200-207.
夏文婧,刘碧,王嵩等.基于输入端电压动态分量优化的PWM整流器模型预测控制[J].电力系统自动化,2020,44(01):200-207. DOI: 10.7500/AEPS20190315005.
XIA Wenjing,LIU Bi,WANG Song,et al.Model Predictive Control of PWM Rectifiers Based on Dynamic Component Optimization of Input-port Voltage[J].Automation of Electric Power Systems,2020,44(01):200-207. DOI: 10.7500/AEPS20190315005.
为了提高三相电压型脉宽调制(PWM)整流器的动态响应速度和控制精度,提出了一种基于整流桥输入端电压动态分量优化的模型预测功率控制算法。首先,建立了三相PWM整流器
dq
旋转坐标系下的功率数学模型,分析了传统基于比例-积分(PI)控制器的直接功率控制算法的工作原理。然后,针对传统基于PI控制器的直接功率控制算法的内环功率PI控制器参数设计复杂及动态响应速度慢等缺点,从整流桥输入端电压动态分量优化的角度出发,借鉴模型预测控制思想,通过评价函数预测最优动态分量,在取消了功率内环PI控制器的同时提高了系统的动态响应速度和控制精度。最后,对所提模型预测功率控制和传统基于PI控制器的直接功率控制算法分别进行半实物实验对比研究,实验结果证明了所提算法的正确性和有效性。
In order to improve the dynamic response speed and control accuracy of three-phase voltage source pulse width modulation (PWM) rectifiers
this paper proposes a model predictive power control (MPPC) algorithm based on dynamic component optimization of input-port voltage. Firstly
a power mathematical model of three-phase PWM rectifiers is built in
dq
rotating frame
and the working principle of the conventional direct power control (DPC) based on proportional-integral (PI) controller is analyzed. Then
from the perspective of dynamic component optimization of input-port voltage
this paper uses the model predictive control idea to predict the optimal dynamic component through the evaluation function
to overcome the drawbacks of the inner-loop power-based PI controllers in PI-DPC
such as complicated parameter design and slow dynamic response. The proposed MPPC scheme can achieve fast dynamic response and high control precision
while avoiding the use of the inner-loop power-based PI controllers. Finally
the proposed MPPC and PI-DPC schemes are compared in hardware-in-loop experiment platform
and the experimental results have verified the validity and effectiveness of the proposed algorithm.
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