Iet Electric Power Applications最新文献_第2页

An Electromechanical Coupling Resonance Suppression Method for IPMSM Drive System Considering the Fluctuation of DC-Link Voltage 考虑直流电压波动的IPMSM驱动系统机电耦合谐振抑制方法

IF 1.5 4区工程技术

Iet Electric Power Applications Pub Date : 2025-06-21 DOI: 10.1049/elp2.70050

Junwen Mu, Xinglai Ge, Chunxu Lin, Yun Zuo

引用次数: 0

Fault-Tolerant Control of a High-Reliability Six-Phase Axial Flux Switching Permanent Magnet Machine 高可靠性六相轴向磁通开关永磁电机的容错控制

IF 1.5 4区工程技术

Iet Electric Power Applications Pub Date : 2025-06-18 DOI: 10.1049/elp2.70055

Javad Rahmani-Fard, Ali Mohammed Ridha, Mustafa Habeeb Chyad, Mohammed Jamal Mohammed

{"title":"Fault-Tolerant Control of a High-Reliability Six-Phase Axial Flux Switching Permanent Magnet Machine","authors":"Javad Rahmani-Fard, Ali Mohammed Ridha, Mustafa Habeeb Chyad, Mohammed Jamal Mohammed","doi":"10.1049/elp2.70055","DOIUrl":"https://doi.org/10.1049/elp2.70055","url":null,"abstract":"In this study, a novel six-phase axial flux switching permanent magnet machine (AFFSSPM-TS) with a twisted structure is explored to enhance fault tolerance and overall system reliability. This design integrates the advantages of flux switching permanent magnet (FSPM) machines, such as high-power density and robust structural characteristics, while significantly improving fault resilience. The machine's electromagnetic behaviour and fault-tolerant capabilities are assessed through experimental validation. To ensure stable torque output under single-phase faults, an advanced control strategy is introduced, regulating the q-axis current and zero-sequence components within the synchronous reference frame. This approach effectively mitigates torque loss caused by phase disconnection while optimising copper losses. Furthermore, a weighted multi-objective optimisation framework, utilising a Genetic Algorithm (GA), is implemented to refine the fault-tolerant current references, maximising torque output and minimising energy dissipation under fault conditions. For short-circuit faults, a compensation strategy based on fault decomposition is developed, eliminating the need for complex real-time computations by directly compensating for faulty phase currents. Experimental results on a prototype machine confirm the proposed control strategy's effectiveness in maintaining torque performance and fault-handling capability.","PeriodicalId":13352,"journal":{"name":"Iet Electric Power Applications","volume":"19 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/elp2.70055","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144315135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hybrid Electromagnetic Modelling of Tubular Permanent Magnet Linear Motors Based on Transfer Learning Physics-Informed Neural Networks 基于迁移学习物理信息神经网络的管状永磁直线电机混合电磁建模

IF 1.5 4区工程技术

Iet Electric Power Applications Pub Date : 2025-06-14 DOI: 10.1049/elp2.70057

Jiale Guo, Tao Wu, Xinmei Wang, Xiongbo Wan

{"title":"Hybrid Electromagnetic Modelling of Tubular Permanent Magnet Linear Motors Based on Transfer Learning Physics-Informed Neural Networks","authors":"Jiale Guo, Tao Wu, Xinmei Wang, Xiongbo Wan","doi":"10.1049/elp2.70057","DOIUrl":"https://doi.org/10.1049/elp2.70057","url":null,"abstract":"Due to the inherent nonlinearity and saturation in the magnetic circuits of tubular permanent magnet linear motors, the analytical method (AM), while computationally efficient, often fails to capture complex electromagnetic behaviours accurately. In contrast, the finite element analysis (FEA) offers high precision but is time consuming. The nonlinearity of magnetic materials introduces strong input–output coupling, while saturation leads to localised deviations in field distributions, both of which reduce the effectiveness and generalisability of conventional modelling approaches. To overcome these challenges, a physics-informed, data-driven modelling approach is proposed. Initially, a novel hybrid modelling framework based on physics-informed neural networks (PINNs) is introduced. In this framework, AM is incorporated into both the input-output layers and the relevant variables, thereby enabling the direct embedding of physical constraints into the loss function. Consequently, the network's training process is rigorously guided in accordance with established physical principles. To further enhance prediction accuracy and generalisation, a transfer learning framework is integrated into PINN, utilising pre-trained datasets from AM and fine-tuning the model using high-accuracy datasets derived from FEA. Additionally, to optimise the physical information-related hyperparameters that impact model accuracy, functional analysis of variance is employed to quantitatively assess their importance and determine the optimal hyperparameter values. Experimental results show that, with training sample sizes representing only 5% of the FEA data, TL-PINN achieves significant improvements over DNN, including a 74.25% reduction in (1 − R2), a 49.51% reduction in RMSE, and a 50.46% reduction in MAE. These findings demonstrate that TL-PINN delivers superior accuracy while utilising substantially fewer FEA datasets.","PeriodicalId":13352,"journal":{"name":"Iet Electric Power Applications","volume":"19 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/elp2.70057","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144289288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Influence of the Electromagnetic Field Model on the Calculated No-Load Magnetic Field of Tubular Hydro Generators 电磁场模型对管式水轮发电机空载磁场计算的影响

IF 1.5 4区工程技术

Iet Electric Power Applications Pub Date : 2025-06-05 DOI: 10.1049/elp2.70052

Qi-Rui Yin, Zhi-Ting Zhou, Zhen-Nan Fan, Yong Yang, Jing-Can Li

{"title":"Influence of the Electromagnetic Field Model on the Calculated No-Load Magnetic Field of Tubular Hydro Generators","authors":"Qi-Rui Yin, Zhi-Ting Zhou, Zhen-Nan Fan, Yong Yang, Jing-Can Li","doi":"10.1049/elp2.70052","DOIUrl":"https://doi.org/10.1049/elp2.70052","url":null,"abstract":"The selected electromagnetic field model of a hydro generator directly affects the calculation of the no-load magnetic field, which in turn affects the grid-connected power quality of the hydrogenerator and the power transmission safety. Tubular hydro generators have a horizontal structure with less internal space than the conventional vertical hydro generator, which results in a particularly complex and strong internal magnetic field distribution. This study investigated the influence of the selected electromagnetic field model on the calculation of the no-load magnetic field of a tubular hydro generator. Straight and skewed stator slots were considered for the structure of the hydro generator. Three models were considered: the transient motion electromagnetic field-circuit coupling model, the transient motion electromagnetic field model, and the static electromagnetic field model. The calculation accuracy and computational efficiency of the three models were evaluated by comparison to measured data. The results were used to make reasonable suggestions for the selection of a suitable electromagnetic field model in different scenarios. The findings are expected to support the electromagnetic field analysis and design of hydro generators.","PeriodicalId":13352,"journal":{"name":"Iet Electric Power Applications","volume":"19 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/elp2.70052","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144220191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Novel Hybrid Rare-Earth and Ferrite Magnet Asymmetric V-Shape and U-Shape IPMSMs Accounting for Demagnetisation Withstand Capability 新型混合稀土和铁氧体不对称v形和u形电磁永磁同步电动机的消磁承受能力

IF 1.5 4区工程技术

Iet Electric Power Applications Pub Date : 2025-06-05 DOI: 10.1049/elp2.70054

Seyedmilad Kazemisangdehi, Zi Qiang Zhu, Liang Chen, Lei Yang, Yanjian Zhou

{"title":"Novel Hybrid Rare-Earth and Ferrite Magnet Asymmetric V-Shape and U-Shape IPMSMs Accounting for Demagnetisation Withstand Capability","authors":"Seyedmilad Kazemisangdehi, Zi Qiang Zhu, Liang Chen, Lei Yang, Yanjian Zhou","doi":"10.1049/elp2.70054","DOIUrl":"https://doi.org/10.1049/elp2.70054","url":null,"abstract":"This paper presents two novel hybrid rare-earth and ferrite permanent magnet (HPM) asymmetric V-shape and U-shape interior PM synchronous machines (IPMSMs) with high ferrite PM (FEPM) torque contribution accounting for the enhanced demagnetisation withstand capability of FEPM at both open circuit and overload conditions. The proposed topologies are designed and compared with a rare-earth PM (REPM)-based symmetrical V-shape baseline in terms of electromagnetic performances, mechanical strength, demagnetisation withstand capability, and PMs cost. All machines are optimised for the same torque with the minimum volume of high-cost REPM at the same specification and size as a commercialised electric vehicle (EV) IPMSM. It is shown that the synergies of magnetic field shifting effect and HPM utilisation have improved the torque per REPM usage in both proposed machines. However, the magnetic field shifting of the proposed HPM asymmetric U-shape IPMSM is twice of that in the V-shape IPMSM counterpart along with a slightly better FEPM demagnetisation withstand capability. Meanwhile, the results show that the proposed HPM asymmetric V-shape IPMSM would be cheaper than the U-shape counterpart as the former and latter topologies require ∼31% and ∼23.5% less REPM volume than the baseline, respectively. Finally, two small laboratory size prototypes are made and tested to verify the finite element analyses.","PeriodicalId":13352,"journal":{"name":"Iet Electric Power Applications","volume":"19 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/elp2.70054","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144220190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Sub-Synchronous Oscillation Suppression Strategy for DFIG Based on Morris-EFAST Global Sensitivity Analysis and Multi-Parameter Co-Optimisation 基于Morris-EFAST全局灵敏度分析和多参数协同优化的DFIG次同步振荡抑制策略

IF 1.5 4区工程技术

Iet Electric Power Applications Pub Date : 2025-05-29 DOI: 10.1049/elp2.70051

Gaojun Meng, Junyi Wang, Lei Huang, Yangfei Zhang, Linlin Yu, Haitao Liu

{"title":"Sub-Synchronous Oscillation Suppression Strategy for DFIG Based on Morris-EFAST Global Sensitivity Analysis and Multi-Parameter Co-Optimisation","authors":"Gaojun Meng, Junyi Wang, Lei Huang, Yangfei Zhang, Linlin Yu, Haitao Liu","doi":"10.1049/elp2.70051","DOIUrl":"https://doi.org/10.1049/elp2.70051","url":null,"abstract":"With the growing share of wind power generation in the global energy structure, sub-synchronous oscillations (SSOs) triggered by the integration of wind power into the grid, as a potential dynamic instability phenomenon, have a non-negligible impact on the performance and safety of the power system and even lead to serious operational risks. Starting from the operation mechanism of the doubly-fed induction generator (DFIG) and in combination with the control of the rotor-side converter (RSC), an equivalent impedance model of the DFIG is constructed. Employing the Morris method and the extended Fourier amplitude sensitivity test (EFAST) method, a comprehensive global sensitivity analysis of the system impedance is conducted, progressing from qualitative to quantitative analysis. High-sensitivity parameters are identified, and the system dynamic interval is partitioned through the joint adjustment among these parameters. Subsequently, a cooperative optimisation method for high-sensitivity parameters is proposed to optimise the parameter set within the instability region to effectively suppress SSO. Finally, the simulation model of the DFIG grid-connected system with series compensation is established, and the feasibility of the optimisation method is verified using the Middlebrook criterion. The results demonstrate that the optimisation method exhibits strong adaptability under different operating conditions, effectively mitigating the risk of SSOs and ensuring stable operation of the wind power system.","PeriodicalId":13352,"journal":{"name":"Iet Electric Power Applications","volume":"19 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/elp2.70051","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144171523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dynamic dq Model of PMSM Using FE-Based LUTs 基于fe的LUTs的永磁同步电机动态dq模型

IF 1.5 4区工程技术

Iet Electric Power Applications Pub Date : 2025-05-27 DOI: 10.1049/elp2.70037

Christian Kukura, Judith Apsley, Siniša Djurovic

引用次数: 0

Fault Diagnosis and System Reconfiguration Based on Switching Sequence Technology for ANPC Three-Level Cascaded Inverter 基于切换顺序技术的ANPC三电平级联逆变器故障诊断与系统重构

IF 1.5 4区工程技术

Iet Electric Power Applications Pub Date : 2025-05-27 DOI: 10.1049/elp2.70039

Pengcheng Han, Chao Wu, Ying Lou, Fei Li

{"title":"Fault Diagnosis and System Reconfiguration Based on Switching Sequence Technology for ANPC Three-Level Cascaded Inverter","authors":"Pengcheng Han, Chao Wu, Ying Lou, Fei Li","doi":"10.1049/elp2.70039","DOIUrl":"https://doi.org/10.1049/elp2.70039","url":null,"abstract":"This paper proposed a fault diagnosis and system reconfiguration based on switching sequence technology for active neutral point clamped (ANPC) three-level cascaded inverter. In this paper, the flow path of current and the clamp voltage under the single-switch and double-switch open-circuit faults for the power switches are analysed in the ANPC bridge arm. The combination of the clamp voltages corresponding to the four switch modes in each fault mode is determined uniquely. According to the uniqueness of the combination of clamp voltages with the four switch modes, a fault diagnosis method based on the switching sequence technology is proposed which can realise fault diagnosis with 10 fault types in one bridge arm. The faulty bridge arm is bypassed by the clamp power switches to achieve the goal of topology reconfiguration, and carrier phase shift strategy for the remaining module is adopted to achieve the goal of modulating reconfiguration. Finally, the correctness of theoretical analysis is verified by the simulation and experiments.","PeriodicalId":13352,"journal":{"name":"Iet Electric Power Applications","volume":"19 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/elp2.70039","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144148623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Model-Free Adaptive Super-Twisting Sliding Mode Speed Control Based on RBFNN Estimator for PMLSM Drive Systems 基于RBFNN估计的无模型自适应超扭滑模速度控制

IF 1.5 4区工程技术

Iet Electric Power Applications Pub Date : 2025-05-25 DOI: 10.1049/elp2.70048

Qingfang Teng, Xiaojian Wang, Kai Xu

引用次数: 0

Torque Characteristic Analyses and Multi-Objective Optimisation of Multi-Layer Flux-Barrier Less-Rare-Earth Permanent Magnet Synchronous Machine 多层磁障无稀土永磁同步电机转矩特性分析及多目标优化

IF 1.5 4区工程技术

Iet Electric Power Applications Pub Date : 2025-05-20 DOI: 10.1049/elp2.70045

Weinan Wang, Weize Gong, Liangkuan Zhu, Jian Wei, Mingqiao Wang, Yong Liu, Ping Zheng

{"title":"Torque Characteristic Analyses and Multi-Objective Optimisation of Multi-Layer Flux-Barrier Less-Rare-Earth Permanent Magnet Synchronous Machine","authors":"Weinan Wang, Weize Gong, Liangkuan Zhu, Jian Wei, Mingqiao Wang, Yong Liu, Ping Zheng","doi":"10.1049/elp2.70045","DOIUrl":"https://doi.org/10.1049/elp2.70045","url":null,"abstract":"This paper investigates the torque characteristic and multi-objective optimisation (MOO) of the multi-layer flux-barrier less-rare-earth permanent magnet synchronous machine (MLFB-LRE-PMSM) used for the electric vehicles (EVs). This study explores the variation of torque characteristics with current angle under different winding current conditions, and thoroughly analyses the influence of permanent magnet (PM) structure parameters on reluctance torque, PM torque and the proportion of reluctance torque in the electromagnetic torque. On this basis, the sensitivity analysis method based on Sobol sequence and joint Sobol index is adopted, which not only simplifies the traditional analysis process, but also effectively considers the interaction effect between the optimisation objectives. Finally, a cooperative optimisation strategy of improved whale optimisation algorithm (WOA) and genetic algorithm (GA) is proposed, which is successfully applied to the MOO design of MLFB-LRE-PMSM. The results show that the improved WOA algorithm shows excellent optimisation performance and can be used as a new solution in the field of motor optimisation. At the same time, the engineering practicability of the proposed collaborative optimisation scheme is verified by finite element simulation.","PeriodicalId":13352,"journal":{"name":"Iet Electric Power Applications","volume":"19 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/elp2.70045","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144100600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0