4.8 Article

A Deep Learning-Based Modeling of a 270 V-to-28 V DC-DC Converter Used in More Electric Aircrafts

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Automation & Control Systems

Active Disturbance Rejection Control Design With Suppression of Sensor Noise Effects in Application to DC-DC Buck Power Converter

Krzysztof Lakomy et al.

Summary: This article addresses the limitation of active disturbance rejection control (ADRC) algorithms caused by high-frequency measurement noise by transforming the high-gain extended state observer (ESO), an inherent element of ADRC, into a new cascade observer structure. Experimental results on a dc-dc buck power converter system demonstrate that the new cascade ESO design effectively suppresses the detrimental effect of sensor noise overamplification while improving the estimation/control performance. The proposed design is also analyzed in conjunction with a low-pass filter for reducing measurement noise in industrial applications.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2022)

Article Engineering, Electrical & Electronic

Nonlinear Least Squares Optimization for Parametric Identification of DC-DC Converters

Gabriel Rojas-Duenas et al.

Summary: This article utilizes a noninvasive optimization approach based on the nonlinear least squares algorithm to determine model parameters of various commercially available DC-DC power converters. The proposed method involves noninvasive online acquisition of input/output voltages and currents under both steady state and transient conditions. This approach can also be applied to other applications requiring precise and efficient parameter identification.

IEEE TRANSACTIONS ON POWER ELECTRONICS (2021)

Article Computer Science, Artificial Intelligence

Automatic tuning of hyperparameters using Bayesian optimization

A. Helen Victoria et al.

Summary: Deep learning in artificial intelligence is effective in computer vision, natural language processing, and audio recognition. Hyperparameter tuning is crucial for training model performance, and Bayesian optimization algorithm enhances model performance effectively.

EVOLVING SYSTEMS (2021)

Article Engineering, Electrical & Electronic

A Systematic Approach to Extract State-Space Averaged Equations and Small-Signal Model of Partial-Power Converters

Ali Nabinejad et al.

IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS (2020)

Article Engineering, Electrical & Electronic

Machine Learning Building Blocks for Real-Time Emulation of Advanced Transport Power Systems

Songyang Zhang et al.

IEEE OPEN JOURNAL OF POWER ELECTRONICS (2020)

Proceedings Paper Automation & Control Systems

Modeling Power Electronic Converters Using A Method Based on Long-Short Term Memory (LSTM) Networks

Pouria Qashqai et al.

IECON 2020: THE 46TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY (2020)

Article Engineering, Electrical & Electronic

Bi-directional long short-term memory method based on attention mechanism and rolling update for short-term load forecasting

Shouxiang Wang et al.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2019)

Article Engineering, Multidisciplinary

Interconnection and Damping Assignment Passivity-Based Control Applied to On-Board DC-DC Power Converter System Supplying Constant Power Load

Shengzhao Pang et al.

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS (2019)

Article Computer Science, Information Systems

Blackbox Polytopic Model With Dynamic Weighting Functions for DC-DC Converters

Airan Frances et al.

IEEE ACCESS (2019)

Article Computer Science, Artificial Intelligence

Online Training of LSTM Networks in Distributed Systems for Variable Length Data Sequences

Tolga Ergen et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2018)

Article Computer Science, Information Systems

Improved Step Load Response of a Dual-Active-Bridge DC-DC Converter

Yifan Zhang et al.

ELECTRONICS (2018)

Article Engineering, Electrical & Electronic

Metamodel of Power Electronic Converters Using Learning SVR Method Coupling With Wavelet Compression

Arnaud Breard et al.

IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY (2016)

Review Engineering, Electrical & Electronic

Taking the Human Out of the Loop: A Review of Bayesian Optimization

Bobak Shahriari et al.

PROCEEDINGS OF THE IEEE (2016)

Article Green & Sustainable Science & Technology

Time series prediction using artificial wavelet neural network and multi-resolution analysis: Application to wind speed data

Boubacar Doucoure et al.

RENEWABLE ENERGY (2016)

Article Engineering, Multidisciplinary

Identification and Robust Control of a Quadratic DC/DC Boost Converter by Hammerstein Model

Francesco Alonge et al.

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS (2015)

Article Automation & Control Systems

Black-Box Behavioral Modeling and Identification of DC-DC Converters With Input Current Control for Fuel Cell Power Conditioning

Virgilio Valdivia et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2014)

Proceedings Paper Engineering, Electrical & Electronic

System-Level Black-Box Dc-to-Dc Converter Models

Luis Arnedo et al.

APEC: 2009 IEEE APPLIED POWER ELECTRONICS CONFERENCE AND EXPOSITION, VOLS 1- 4 (2009)