Deep Deterministic Policy Gradient Algorithm Based Reinforcement Learning Controller for Single-Inductor Multiple-Output DC-DC Converter

Due to its advantages, such as simple structure, high power density, and strong scalability, single-input multiple-output (SIMO) dc-dc converters exhibit vast application prospects. However, a significant challenge arises in the control design of SIMO converters. This challenge stems from the shared...

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Veröffentlicht in:	IEEE transactions on power electronics Jg. 39; H. 4; S. 4078 - 4090
Hauptverfasser:	Ye, Jian, Guo, Huanyu, Wang, Benfei, Zhang, Xinan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.04.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Artificial neural networks Control methods Control systems Controllers Cross-regulation DC-DC power converters Dynamic response Inductors Interference Machine learning Multivariable control Nonlinear control Nonlinear systems Regulation reinforcement learning (RL) controller single-input multiple-output (SIMO) dc–dc converters Steady state System effectiveness Training Voltage control Voltage converters (DC to DC)
ISSN:	0885-8993, 1941-0107
Online-Zugang:	Volltext
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