Dynamic Event-Triggered Model Predictive Control for Vienna Rectifier
Zhou Yunhong1, Zhang Aimin1, Huang Jingjing1, Du Yudong1, Zhang Lei2
1. School of Automation Science and Engineering Xi'an Jiaotong University Xi'an 710049 China; 2. School of Electronic Information Xi'an Polytechnic University Xi'an 710049 China
Abstract：A dynamic event-triggered model predictive control (DET-MPC) strategy is proposed for the Vienna rectifier in the DC charging system. In the proposed method, the MPC scheme is carried out only when the event-triggered condition of the system is met. Otherwise, the switch state signal is held to reduce the calculation burden. Meanwhile, a dynamic function is introduced into the event-triggered condition to guarantee the steady-state performance of the system. Compared with the conventional finite control set model predictive control, the DET-MPC has advantages of less computational burden and less switching losses, while ensuring satisfactory regulation performance. The experimental results in the three-phase Vienna rectifier from the comparison with FCS-MPC demonstrate the effectiveness of the proposed DET-MPC method.
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