Model Predictive Control With Triple Phase Shift Modulation for a Dual Active Bridge DC-DC Converter

被引:17
作者
Akbar, Seema Mir [1 ,2 ]
Hasan, Ammar [1 ]
Watson, Alan J. [2 ]
Wheeler, Pat [2 ]
机构
[1] Natl Univ Sci & Technol, Sch Elect Engn & Comp Sci, Islamabad 44000, Pakistan
[2] Univ Nottingham, Dept Elect & Elect Engn, Nottingham NG7 2RD, England
来源
IEEE ACCESS | 2021年 / 9卷
关键词
Switches; Stress; Heuristic algorithms; DC-DC power converters; Phase modulation; Voltage control; Predictive models; Dual active bridge (DAB) dc-dc converter; triple phase shift (TPS); model predictive control(MPC); dynamic performance; ZVS MODULATION; VOLTAGE; OPERATION; LOADS;
D O I
10.1109/ACCESS.2021.3095553
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A fast dynamic response is one of the key demands for the dual active bridge (DAB) dc-dc converter to achieve a well-regulated output voltage over a wide range of operating conditions. Recently, model predictive control (MPC) has become a promising alternative to achieve fast dynamic response when compared to other classical converter control techniques. This paper presents an MPC based control approach augmented with a current stress optimized scheme based on triple phase shift (TPS) modulation to improve the dynamic performance and maintain a desired output voltage level without violating a minimum current stress constraint. A prediction model has been developed to accurately predict the dynamic behavior of the output voltage in the next horizon under the input voltage variations and load disturbances. As the model is developed using the TPS modulation thus inner phase shifts of the H-bridges as well as system's states are required to solve the formulated control problem. The inner phase shifts of the H-bridges are calculated using current stress optimized TPS scheme. Simulation and experimental results are provided to demonstrate the merits of the proposed control algorithm which includes a fast dynamic response without no overshoots in the output voltage, fixed switching frequency, low computational complexity and high degree of robustness.
引用
收藏
页码:98603 / 98614
页数:12
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