IEEJ Transactions on Electrical and Electronic Engineering最新文献_第3页

Physics-in-the-Loop Evolutionary Adversarial Attack to Automatic Speech Recognition Systems under Hard-Label Black-Box Conditions 硬标签黑箱条件下自动语音识别系统的物理在环进化对抗攻击

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2026-09-02 Epub Date: 2026-03-08 DOI: 10.1002/tee.70269

Keigo Akagaki, Ayane Tajima, Satoshi Ono

引用次数: 0

Motion Control of Robotic Fish Based on BP Neural Network-Fuzzy Fusion Optimization Algorithm 基于BP神经网络模糊融合优化算法的机器鱼运动控制

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2026-09-02 Epub Date: 2026-01-22 DOI: 10.1002/tee.70244

Xuhong Huang, Yuanhai Chen, Weixuan Zhan, Jinghui Lin, Yixin Zhang

{"title":"Motion Control of Robotic Fish Based on BP Neural Network-Fuzzy Fusion Optimization Algorithm","authors":"Xuhong Huang, Yuanhai Chen, Weixuan Zhan, Jinghui Lin, Yixin Zhang","doi":"10.1002/tee.70244","DOIUrl":"https://doi.org/10.1002/tee.70244","url":null,"abstract":"To address the complex dynamic control of multi-source coupled drive systems in bionic robotic fish, this paper proposes a BP neural network–fuzzy fusion optimization algorithm. The method employs a parallel architecture that takes depth error, depth change rate, and pitch angle as inputs. Fuzzy control ensures rapid response to nonlinear disturbances, while an offline-trained BP neural network enhances the modeling accuracy of complex dynamics. The core innovation involves dynamically adjusting the fusion weights of both controllers using sliding window error trends, enabling coordinated control of propeller speed, tail fin oscillation, and slider displacement. Experimental results indicate that under disturbance-free conditions, the fused algorithm achieves an average integral absolute error (IAE) of 18.6 m<math>\u0000 <semantics>\u0000 <mrow>\u0000 <mo>·</mo>\u0000 </mrow>\u0000 <annotation>$$ cdotp $$</annotation>\u0000 </semantics></math>s, representing reductions of 16.2% and 40.5% compared to individual fuzzy and BP neural network control, respectively. Response time is reduced to 23 s with overshoot limited to 45%. In anti-interference and mass perturbation tests, the algorithm exhibits significantly better convergence speed and stability than conventional methods. The dynamic weight allocation mechanism successfully combines the rapidity of fuzzy logic with the precision of neural networks, offering an effective solution for multimodal motion control of underwater bionic robotic fish. © 2026 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC. © 2026 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"21 10","pages":"1508-1520"},"PeriodicalIF":1.0,"publicationDate":"2026-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148862355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Stable Control Scheme for Multi-feed Non-inertia GFM-REGUs System 多馈入非惯性ggm - regus系统的稳定控制方案

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2026-09-02 Epub Date: 2026-03-03 DOI: 10.1002/tee.70265

Sen Huang, Wanqin Xiang

引用次数: 0

Design of Networked Control Systems Incorporating Event-Triggered Control Schemes with Consideration for Time Delays 考虑时延的事件触发控制网络控制系统设计

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2026-09-02 Epub Date: 2026-03-06 DOI: 10.1002/tee.70279

Hugang Han, Boyu Li, Nadila Maghfirah

引用次数: 0

An Improved Triple-Vector Model-Free Predictive Control Method for Grid-Forming Converters with Runge–Kutta-Based Data-Model 基于龙格-库塔数据模型的改进三向量无模型预测控制方法

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2026-09-02 Epub Date: 2026-02-08 DOI: 10.1002/tee.70245

Yifu Lin, Junwei Zhu, Feng He, Jingjing Wu, He Zhang

{"title":"An Improved Triple-Vector Model-Free Predictive Control Method for Grid-Forming Converters with Runge–Kutta-Based Data-Model","authors":"Yifu Lin, Junwei Zhu, Feng He, Jingjing Wu, He Zhang","doi":"10.1002/tee.70245","DOIUrl":"https://doi.org/10.1002/tee.70245","url":null,"abstract":"The conventional triple-vector model predictive control (TV-MPC) method for grid-forming converters (GFCs) exhibits a strong dependence on precise system parameters, potentially compromising voltage prediction performance. To address this limitation, this paper develops an improved triple-vector model-free predictive control method with Runge–Kutta-based data-model (TV-MFPC-RKDM). First, the impact of system parameters on traditional TV-MPC for GFCs is analyzed. Subsequently, a Runge–Kutta-based data-model (RKDM) for the GFC is established and continuously updated using historical voltage data. To compensate for the inherent one-step delay in the RKDM, the Lagrange extrapolation method is employed for model estimation. The triple-vector (TV) principle is then integrated, with vector duration calculation leveraging the updated RKDM to enhance voltage prediction accuracy. The proposed TV-MFPC-RKDM facilitates real-time RKDM updates, eliminating the reliance on precise system knowledge and significantly reducing prediction errors. The effectiveness of the proposed TV-MFPC-RKDM method is demonstrated through comprehensive experimental comparisons. © 2026 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"21 10","pages":"1558-1566"},"PeriodicalIF":1.0,"publicationDate":"2026-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148862331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-Domain Fusion for High-Impedance Fault Detection 基于多域融合的高阻抗故障检测

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2026-09-02 Epub Date: 2026-03-24 DOI: 10.1002/tee.70243

Keqing Ning, Lin Ye, Wei Song, Na Xing, Wei Guo, Jianing Guan

{"title":"Multi-Domain Fusion for High-Impedance Fault Detection","authors":"Keqing Ning, Lin Ye, Wei Song, Na Xing, Wei Guo, Jianing Guan","doi":"10.1002/tee.70243","DOIUrl":"https://doi.org/10.1002/tee.70243","url":null,"abstract":"High-impedance fault (HIF) in distribution networks poses detection challenges due to inherently weak signal characteristics, which are easily confused with normal operating conditions. Traditional detection methods employ single-domain feature extraction, resulting in inadequate characterization and poor performance under adverse interference conditions. To address this, we propose a novel deep learning framework for HIF detection based on multi-domain feature fusion. The method comprises three components. A xLSTM-KAN temporal feature extractor is developed, which utilizes Extended Long Short-Term Memory (xLSTM)'s matrix memory and exponential gating to identify subtle temporal features in HIF signals. Kolmogorov-Arnold Networks (KAN) serve as feature transformers with learnable activation functions to optimize HIF feature representation. Subsequently, Markov Transition Fields (MTF) convert zero-sequence voltage signals into two-dimensional image representations. The spatial-frequency collaborative module (SFC) extracts spatial domain and Fast Fourier Transform (FFT)-based frequency domain features from the MTF images. Furthermore, a feature crossing enhancement module enables bidirectional interaction and fusion between temporal features and MTF image features. MATLAB/SIMULINK validation confirms the effectiveness of the proposed method. The approach accurately and rapidly identifies HIF under ideal conditions and maintains 98% detection accuracy at 20 dB signal-to-noise ratio, demonstrating significant potential for practical engineering deployment. © 2026 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"21 10","pages":"1521-1531"},"PeriodicalIF":1.0,"publicationDate":"2026-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148862360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Lightweight Power Fittings Detection Method Integrating DSCF-SC Feature Reconstruction and PGI Gradient Enhancement 一种融合DSCF-SC特征重构和PGI梯度增强的轻型电源配件检测方法

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2026-09-02 Epub Date: 2026-03-07 DOI: 10.1002/tee.70264

Yuntao Zhao, Qianrui Li, Zheng Xu

{"title":"A Lightweight Power Fittings Detection Method Integrating DSCF-SC Feature Reconstruction and PGI Gradient Enhancement","authors":"Yuntao Zhao, Qianrui Li, Zheng Xu","doi":"10.1002/tee.70264","DOIUrl":"https://doi.org/10.1002/tee.70264","url":null,"abstract":"In the construction of smart warehousing for power grids, the detection of power fittings on conveyor belts is a critical task. Traditional methods relying on manual labor face limitations such as low detection efficiency, high false detection rates, and high overall costs. This paper proposes a lightweight algorithm based on improved YOLO11n. First, a novel DSCF-SC module incorporating SCConv enhances the backbone network. This module captures global contextual information—such as spatial relationships between power fittings and conveyor scenes, cross-scale arrangement patterns, and environmental features—while compressing spatial-channel redundancies. A parallel micro-branch preserves fine-grained details like surface textures, and the dual-branch fusion improves multi-scale power fittings recognition. Second, the neck structure is redesigned using Grouped Shuffle Convolution and a slim-neck paradigm for a lightweight design. Finally, a programmable gradient information (PGI) detection head mitigates information loss in deep networks. Experiments on a self-built power fittings dataset show the model achieves a mean average precision (mAP) of 74.45%, outperforming the baseline by 1.46%. With a model size of 8.6 MB and an inference speed of 213.37 FPS, the approach effectively improves detection accuracy while ensuring real-time performance, meeting the requirements for on-site deployment and supporting automation in intelligent grid warehouses. © 2026 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"21 10","pages":"1532-1541"},"PeriodicalIF":1.0,"publicationDate":"2026-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148862437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Electronic Circuit Piecewise-Constant Neuron Model for Virtual Clinical Experiment on Neural Prosthesis: Cellular Differentiation and Hardware Implementation 用于神经假体虚拟临床实验的电子电路分段常数神经元模型：细胞分化和硬件实现

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2026-09-02 Epub Date: 2026-01-21 DOI: 10.1002/tee.70246

Shogo Shirafuji, Kengo Hosoi, Hiroyuki Torikai

{"title":"An Electronic Circuit Piecewise-Constant Neuron Model for Virtual Clinical Experiment on Neural Prosthesis: Cellular Differentiation and Hardware Implementation","authors":"Shogo Shirafuji, Kengo Hosoi, Hiroyuki Torikai","doi":"10.1002/tee.70246","DOIUrl":"https://doi.org/10.1002/tee.70246","url":null,"abstract":"This paper presents a novel piecewise constant (PWC) neuron model, which consists of an analog PWC somatic model and an analog–digital hybrid synaptic unit. It is shown that the PWC neuron model can exhibit various neuron-like behaviors such as tonic spiking and bursting depending on its parameter values. Then, a novel cellular differentiation method (i.e., parameter search method) for the PWC neuron model is represented. It is shown that the differentiation method can find parameter values suitable to reproduce behaviors of a biologically plausible complicated mathematical neuron model. Furthermore, the PWC neuron model is applied to a virtual experimental trial of neural prosthesis and results show that replacement of a dysfunctional neuron model in a biologically plausible neuron network model by the PWC neuron model can recover the functionality of the network. Finally, potential applications of the PWC neuron model in future brain prosthetic devices are discussed. © 2026 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"21 10","pages":"1542-1549"},"PeriodicalIF":1.0,"publicationDate":"2026-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148862501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Speed-Current Dual-Loop Model Predictive Control for LIM LIM的速度-电流双环模型预测控制

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2026-09-02 Epub Date: 2026-05-04 DOI: 10.1002/tee.70262

Yao Xing, Jinghong Zhao, Sinian Yan, Jinxin Tian, Mingpu Chen

{"title":"Speed-Current Dual-Loop Model Predictive Control for LIM","authors":"Yao Xing, Jinghong Zhao, Sinian Yan, Jinxin Tian, Mingpu Chen","doi":"10.1002/tee.70262","DOIUrl":"https://doi.org/10.1002/tee.70262","url":null,"abstract":"This study addresses the inherent limitations of conventional PI control in speed regulation systems, particularly its poor robustness. A dual-loop model predictive control (MPC) strategy integrating speed and current loops is proposed, treating the motor as a multi-input multi-output system to effectively mitigate issues such as weak robustness and slow dynamic response during operation. The speed loop employs Model Predictive Speed Control (MPSC) for speed regulation. However, since MPC performance partially relies on the accuracy of the motor's mathematical model, load disturbances may degrade control performance. To address this, a load observer is introduced for the LIM speed loop to estimate and compensate for disturbances, significantly improving control accuracy. Meanwhile, the current loop employs model predictive flux control (MPFC), enhanced by an improved generalized dual-vector control strategy to optimize steady-state performance, thereby effectively reducing current ripple and torque pulsation. Simulation results demonstrate that the proposed dual-loop MPC strategy exhibits superior performance under speed step changes and load disturbances, featuring minimal overshoot, fast dynamic response, high steady-state accuracy, and strong anti-interference capability. Additionally, the observer effectively tracks the given load. This study provides a practical control solution for high-performance LIM applications in rail transit and industrial automation. © 2026 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"21 10","pages":"1567-1574"},"PeriodicalIF":1.0,"publicationDate":"2026-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148862376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaluation of the Suitability of Existing Earth-Fault Detection Methods for Insulation Monitoring Devices in Photovoltaic Power Generation Systems 光伏发电系统绝缘监测装置现有接地故障检测方法的适用性评价

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2026-09-02 Epub Date: 2026-03-11 DOI: 10.1002/tee.70260

Takuro Kazama, Kazuhiko Kato

{"title":"Evaluation of the Suitability of Existing Earth-Fault Detection Methods for Insulation Monitoring Devices in Photovoltaic Power Generation Systems","authors":"Takuro Kazama, Kazuhiko Kato","doi":"10.1002/tee.70260","DOIUrl":"https://doi.org/10.1002/tee.70260","url":null,"abstract":"To ensure the safe operation of photovoltaic (PV) power generation systems, it is essential to detect and address promptly earth faults and degradation of the insulation resistance to earth. Safe operation requires the use of insulation monitoring devices for photovoltaic systems (PV-IMDs) that can continuously and reliably monitor the insulation resistance to earth under both normal and earth-fault conditions. In this study, we conducted theoretical evaluations of the suitability of various existing earth-fault detection methods for use in PV-IMDs based on two equivalent circuit models representing the impedance between photovoltaic-module strings (PV strings) and earth. We also experimentally evaluated two equivalent circuit models and measured their performances under both conditions. We conclude that the equivalent circuit model consisting of a single insulation resistance and RC-series paths in parallel is more suitable for the PV string-to-earth circuit than the popular model, which consists of a single insulation resistance and a single leakage capacitance in parallel. In conclusion, direct-current-based methods are more suitable than alternating-current-based methods for PV-IMDs. © 2026 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"21 10","pages":"1477-1484"},"PeriodicalIF":1.0,"publicationDate":"2026-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148862404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0