A Voltage Sensorless Finite Control Set-Model Predictive Control for Three-Phase Voltage Source PWM Rectifiers

Chinese Journal of Electrical Engineering ›› 2016, Vol. 2 ›› Issue (2): 52-59.

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A Voltage Sensorless Finite Control Set-Model Predictive Control for Three-Phase Voltage Source PWM Rectifiers

Haitao Yang¹, Yongchang Zhang^2,*, Nong Zhang¹, Paul D. Walker¹, Jihao Gao²

1. School of Electrical, Mechanical, and Mechatronic Systems, University of Technology, Sydney, NSW 2007, Australia;
2. Inverter Technologies Engineering Research Center of Beijing, North China University of Technology, Beijing, 100144, China

Online:2016-12-25 Published:2019-11-01
Contact: E-mail: yozhang@ieee.org.
About author:Haitao Yang was born in 1987. He received the B.S. degree from Hefei University of Technology, China, in 2009 and the Master degree from North China University of Technology, China, in 2015, both in electrical engineering. He is currently working toward the Ph.D. degree in the School of Electrical, Mechanical, and Mechatronic Systems, University of Technology, Sydney, NSW 2007, Australia. His research interests include PWM converters, position/speed sensorless control of AC motors and high-performance traction drives. Yongchang Zhang received the B.S. degree from Chongqing University, China, in 2004 and the Ph.D. degree from Tsinghua University, China, in 2009, both in electrical engineering. From August 2009 to August 2011, he was a Postdoctoral Fellow at the University of Technology Sydney, Australia. He joined North China University of Technology in August 2011 as an associate professor. Currently he is a full professor and the vice director of Inverter Technologies Engineering Research Center of Beijing. He has published more than 100 technical papers in the area of motor drives, pulsewidth modulation and AC-DC converters. His current research interest is model predictive control for power converters and motor drives Nong Zhang received PhD in 1989 from the University of Tokyo and worked at several universities in China, Japan, USA and Australia before joining University of Technology, Sydney in 1995. Since 2009, he has been the Professor of Mechanical Engineering, at School of Electrical, Mechanical and Mechatronic Systems, University of Technology Sydney. He focused on fundamental research on mechanical vibration, multibody system dynamics and its applications to complex machines and vehicular systems. He developed advanced models and numerical schemes for simulating gear shift in powertrains with AT, MT and CVTs and for dynamic analysis of vehicles fitted with advanced suspensions. Paul D. Walker was born in Sydney, Australia, in 1981. He received his B. E. in Mechanical Engineering from the University of Technology Sydney in 2007 and his PhD from the same university in 2011. Since 2011 he has worked as a Research Associate and is currently a Chancellor’s Postdoctoral Research Fellow at the School of Electrical, Mechanical and Mechatronic Systems at UTS. His research interests include the development of novel power splitting transmissions for hybrid electric vehicles, multi-speed transmission dynamics and control, and novel hybrid and electric vehicle topologies and their control. Jihao Gao was born in 1988. He received the B.S. degree in electrical engineering from the Henan University of Engineering, Zhengzhou, China, in 2013. He is currently working toward the master’s degree in electrical engineering with the North China University of Technology, Beijing, China. His research interests include control of three-level pulse width modulation rectifiers.

Abstract

Abstract: In this paper, a grid voltage sensorless model predictive control is proposed and verified by simulation and experimental tests for a PWM rectifier. The presented method is simple and cost effective due to no need of modulator and voltage sensors. The developed sliding mode voltage observer (SMVO) can theoretically track the grid voltage accurately without phase lag and magnitude error. Based on the proposed SMVO, the finite control set-model predictive control (FCS-MPC) is incorporated for power regulation. The active power and reactive power are calculated and predicted using the measured current and the estimated grid voltage from the SMVO. With the predicated power for one-step delay compensation, the best voltage vector minimizing the tracking error is selected by FCS-MPC. The whole algorithm is implemented in stationary frame without using Park’s transformation. Both the simulation and experimental results validate the effectiveness of the proposed method.

Key words: Model predictive control (MPC), voltage sensorless control, sliding mode observer, three-phase voltage source rectifier (VSR)

Haitao Yang, Yongchang Zhang, Nong Zhang, Paul D. Walker, Jihao Gao. A Voltage Sensorless Finite Control Set-Model Predictive Control for Three-Phase Voltage Source PWM Rectifiers[J]. Chinese Journal of Electrical Engineering, 2016, 2(2): 52-59.

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A Voltage Sensorless Finite Control Set-Model Predictive Control for Three-Phase Voltage Source PWM Rectifiers

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