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Optimization of Reflux Power in Triple Active Bridge With Online Particle Swarm Optimization and Exponential Weighted Moving Average Algorithm | IEEE Journals & Magazine | IEEE Xplore

Optimization of Reflux Power in Triple Active Bridge With Online Particle Swarm Optimization and Exponential Weighted Moving Average Algorithm


Abstract:

Phase shift control is one of the most common strategies used for the control of a triple active bridge (TAB) converter, including single-phase shift (SPS) control, exten...Show More

Abstract:

Phase shift control is one of the most common strategies used for the control of a triple active bridge (TAB) converter, including single-phase shift (SPS) control, extended-phase shift (EPS) control, dual-phase shift (DPS) control, and triple-phase shift (TPS) control. Among them, there are two free variables for the SPS control, three free variables for the EPS and DPS controls, and five free variables for the TPS control, respectively. When the power of TAB is transmitted from port I to port II and port III, some portion will flow from port II and port III back to port I, which is also known as reflux power. The presence of reflux power causes the waste of transmission power and reduces the overall efficiency of a TAB converter. Compared to SPS, EPS, and DPS, TPS has a smaller reflux power, but the traditional mathematical methods adopted to optimize the TAB operation are complex in solving the phase shift ratios of TPS. This article proposes an intelligent control strategy based on online particle swarm optimization combined with exponential weighted moving average (PSO-EWMA) algorithm, which can effectively reduce the reflux power of TAB under TPS control. Simulation and experimental results show that the minimum reduction in reflux power is about 58.1%, and the converter efficiency remains around 95%, verifying the effectiveness of the proposed control algorithm.
Page(s): 2097 - 2107
Date of Publication: 22 February 2024

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