PWM整流器
控制理论(社会学)
脉冲宽度调制
整流器(神经网络)
电压
交流电源
网格
峰值反电压
补偿(心理学)
模型预测控制
计算机科学
三相
电压源
电子工程
工程类
电压优化
电气工程
控制(管理)
数学
循环神经网络
几何学
精神分析
心理学
人工智能
机器学习
随机神经网络
人工神经网络
作者
Yongchang Zhang,Zeting Wang,Jian Jiao,Jie Liu
出处
期刊:IEEE Transactions on Power Electronics
[Institute of Electrical and Electronics Engineers]
日期:2019-12-31
卷期号:35 (8): 8663-8672
被引量:66
标识
DOI:10.1109/tpel.2019.2963206
摘要
The sensors in a three-phase pulse width modulation (PWM) rectifier control system are the basis of high-performance methods. Line voltage sensors are utilized to obtain information about the grid voltage amplitude and phase. To eliminate the grid voltage sensors and to decrease the cost of PWM rectifier control systems, various grid-voltage sensorless methods have been developed. In this article, a virtual-flux-based grid voltage estimation method is utilized in the model predictive control (MPC) of a PWM rectifier. The extended reactive power is introduced in the proposed MPC method; the MPC is then able to realize the control targets of eliminating input-side power oscillations and ensuring sinusoidal currents under unbalanced network conditions without any power compensation terms. The cascaded delayed signal cancellation (CDSC) method is applied to obtain the fundamental rectifier voltages in the virtual flux-based grid-voltage sensorless method. The proposed method can operate under unbalanced and distorted network conditions. Moreover, a startup current suppression method is applied in this method to avoid over-currents during the startup process. Experimental tests are performed to verify the effectiveness of the proposed method.
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