Iet Electric Power Applications最新文献_第4页

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

Motion System Optimisation for Direct-Drive Selective Compliance Assembly Robot Arm 直接驱动选择性顺应装配机械臂运动系统优化

IF 1.5 4区工程技术

Iet Electric Power Applications Pub Date : 2025-05-19 DOI: 10.1049/elp2.70040

Zhun Liu, Chentao Tang, Youtong Fang, Pierre-Daniel Pfister

{"title":"Motion System Optimisation for Direct-Drive Selective Compliance Assembly Robot Arm","authors":"Zhun Liu, Chentao Tang, Youtong Fang, Pierre-Daniel Pfister","doi":"10.1049/elp2.70040","DOIUrl":"https://doi.org/10.1049/elp2.70040","url":null,"abstract":"A direct-drive selective compliance assembly robot arm (DDSCARA) poses difficulties in system optimisation due to numerous design parameters and strong coupling between components. This article presents a new optimisation framework based on the characteristic parameters surrogate model to solve the computation burden of the DDSCARA motion system optimisation. The framework divides the optimisation problem into three sub-optimisations. Firstly, we construct a characteristic parameters surrogate model of the direct-drive motor (DDM) by multi-objective optimisation to reduce the training dataset size at the component level. Secondly, in the system-level optimisation, we take the cost and reliability indicators as the optimisation objectives and obtain the optimal characteristic parameters of the DDMs, motion trajectory parameters, and design parameters of other components. A pre-optimisation of the DDM characteristic parameters using gradient descent is used to accelerate the convergence and improve optimisation results. Thirdly, the closest point method and Bayesian optimisation are used to recover the DDM design parameters. For the given optimisation problem, the new framework saves 97.7% computation time compared to the traditional framework. We design an optimised prototype and conduct comparative experiments with the original prototype. The optimised prototype achieves 33% and 12.5% improvements in reliability and unit production per hour, respectively.","PeriodicalId":13352,"journal":{"name":"Iet Electric Power Applications","volume":"19 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/elp2.70040","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144085263","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

Electromagnetic Forces and Vibrations Under Stator and Rotor Reference Frames in Permanent Magnet Synchronous Machines 永磁同步电机定子和转子参照系下的电磁力和振动

IF 1.5 4区工程技术

Iet Electric Power Applications Pub Date : 2025-05-15 DOI: 10.1049/elp2.70038

Lei Yao, Yunchong Wang, Rui-Zhen Cui, Xue-Fei Qin, Dan Shi, Jian-Xin Shen

{"title":"Electromagnetic Forces and Vibrations Under Stator and Rotor Reference Frames in Permanent Magnet Synchronous Machines","authors":"Lei Yao, Yunchong Wang, Rui-Zhen Cui, Xue-Fei Qin, Dan Shi, Jian-Xin Shen","doi":"10.1049/elp2.70038","DOIUrl":"https://doi.org/10.1049/elp2.70038","url":null,"abstract":"The electromagnetic force plays a significant role in contributing to torque ripple and electromagnetic vibration in permanent magnet synchronous machines (PMSMs), thereby impacting the noise, vibration, and harshness (NVH) performance. However, in most cases, existing design and analysis approaches predominantly focus on torque ripple, radial force and vibration under the stator reference frame, which is not sufficiently comprehensive. To address this gap, this paper presents the derivation of the spatial and temporal orders of force harmonics under both the stator stationary reference frame and the rotor rotating reference frame. Through theoretical analysis and finite element method (FEM) simulations, this paper highlights the differences in force harmonics and vibrations between the two reference frames. Furthermore, it explores the relationship between torque ripple and vibrations under different reference frames. Additionally, the superposition and cancellation effects of radial and tangential forces in producing vibrations are investigated. Finally, to validate the theoretical analysis, two prototypes of PMSMs with 6 poles and 9 slots have been manufactured and subjected to performance testing.","PeriodicalId":13352,"journal":{"name":"Iet Electric Power Applications","volume":"19 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/elp2.70038","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144074362","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

Research on core loss prediction of low-frequency transformer based on Grey Wolf optimisation algorithm optimised Back Propagation neural network

IF 1.5 4区工程技术

Iet Electric Power Applications Pub Date : 2025-05-14 DOI: 10.1049/elp2.12542

Xiaohua Li, Yi Liu, Wenbin Zhao, Yikun Zhao, Long Fu, Zhiyuan Zheng

{"title":"Research on core loss prediction of low-frequency transformer based on Grey Wolf optimisation algorithm optimised Back Propagation neural network","authors":"Xiaohua Li, Yi Liu, Wenbin Zhao, Yikun Zhao, Long Fu, Zhiyuan Zheng","doi":"10.1049/elp2.12542","DOIUrl":"https://doi.org/10.1049/elp2.12542","url":null,"abstract":"In this paper, a prediction model of 20 Hz low-frequency transformer core loss based on the grey wolf optimisation algorithm-optimised back propagation neural network is proposed. Firstly, the loss characteristics of silicon steel sheet materials at different low-frequency temperatures and normal temperatures at different frequencies were compared. The general law of the variation of no-load iron loss with frequency and temperature is analysed. Finally, the BP neural network prediction model of low-frequency transformer core loss is established. The loss data obtained by experiment and simulation are used as training and verification samples to predict transformer core loss. The results show that the GWO-BP neural network loss model proposed in this paper successfully predicted the no-load loss of the transformer at different temperatures. When the prediction effect of the GWO-BP model was optimal, the determination coefficient R2 reached 0.9169, and the mean relative error and root mean square error were only 1.15% and 0.0085, respectively. Moreover, the MRE of the GWO-BP model is within 9%. Compared with the BP model and whale optimization algorithm-BP model, the prediction accuracy of the loss is improved by the GWO-BP model, and the calculation time of the loss is reduced by the finite element method.","PeriodicalId":13352,"journal":{"name":"Iet Electric Power Applications","volume":"19 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/elp2.12542","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143944657","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

2-D Electromagnetic Analysis Coupled With 3-D Thermal Analysis of a Dual-PM Excited Flux-Switching Generator With Overhang Structure for Direct Drive Wind Turbines 直驱风电机组悬挑结构双pm励磁开关发电机的二维电磁耦合三维热分析

IF 1.5 4区工程技术

Iet Electric Power Applications Pub Date : 2025-05-12 DOI: 10.1049/elp2.70042

Amir Ebrahimi Shohani, Mohammad Farahzadi, Salman Ali, Karim Abbaszadeh, Fabrizio Marignetti, Fariba Farrokh

{"title":"2-D Electromagnetic Analysis Coupled With 3-D Thermal Analysis of a Dual-PM Excited Flux-Switching Generator With Overhang Structure for Direct Drive Wind Turbines","authors":"Amir Ebrahimi Shohani, Mohammad Farahzadi, Salman Ali, Karim Abbaszadeh, Fabrizio Marignetti, Fariba Farrokh","doi":"10.1049/elp2.70042","DOIUrl":"https://doi.org/10.1049/elp2.70042","url":null,"abstract":"This study introduces a new outer-rotor dual-permanent magnet (PM) excited flux-switching generator with an overhang structure for direct-drive wind turbine applications. The proposed generator incorporates flux barriers and ferrite PMs in the stator while utilising neodymium PMs in the rotor segments. Contrary to ferrite PMs, neodymium PMs are prone to demagnetisation in high-temperature conditions. Given that the operating temperature of the stator is nearly double that of the rotor in this study, ferrite PMs are strategically positioned in the stator to mitigate this issue. The main goal of this paper is to provide a fast and accurate method to study the electromagnetic-thermal performance of the generator. Hence, a two-dimensional finite element analysis (2-D FEA) electromagnetic analysis is coupled with a 3-D FEA thermal analysis. Moreover, a precise thermal circuit of each generator's element is displayed. Finally, the accuracy of the method is confirmed through a comparison of the simulation results with experimental data, indicating a small margin of error.","PeriodicalId":13352,"journal":{"name":"Iet Electric Power Applications","volume":"19 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/elp2.70042","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143938946","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

Design Optimisation and Prototyping of an Outer Rotor Variable Reluctance Resolver for Position Detection in Electric Aircraft 一种用于电动飞机位置检测的外转子变磁阻解析器的设计优化与原型制作

IF 1.5 4区工程技术

Iet Electric Power Applications Pub Date : 2025-05-09 DOI: 10.1049/elp2.70031

Davood Karamalian, Behrooz Majidi, Mohammadreza Moradian, Khoshnam Shojaei, Sayyed Mohammad Mehdi Mirtalaei

{"title":"Design Optimisation and Prototyping of an Outer Rotor Variable Reluctance Resolver for Position Detection in Electric Aircraft","authors":"Davood Karamalian, Behrooz Majidi, Mohammadreza Moradian, Khoshnam Shojaei, Sayyed Mohammad Mehdi Mirtalaei","doi":"10.1049/elp2.70031","DOIUrl":"https://doi.org/10.1049/elp2.70031","url":null,"abstract":"Outer rotor motor configurations are increasingly used in electric aircraft due to their high torque capacity and suitability for vertical take-off and landing applications. Accurate rotor position detection is critical for closed-loop control in these applications making a robust outer rotor position sensor essential. Among available sensors, outer rotor variable reluctance resolvers (OR-VRR) with nonoverlapping windings are promising due to their reliability and winding simplicity. In this paper, an OR-VRR is customised specifically for aircraft use, with its stator optimised to enhance resolver accuracy. A magnetic equivalent circuit (MEC) model is developed for the proposed OR-VRR, and mathematical equations are used to optimise the stator teeth. Optimisation is conducted using particle swarm optimisation (PSO), genetic algorithm (GA), ant colony optimisation (ACO), and differential evolution (DE), yielding six stator configurations. Each algorithm offers distinct search mechanisms, and utilising a diverse set of optimisation strategies, the global minimum is more reliable. To refine these designs, the finite element analysis (FEA) is used to simulate and evaluate boundary effects, leading to the selection of an optimal configuration. The chosen OR-VRR design is then prototyped and mounted on the shaft of an outer rotor brushless motor. Experimental results closely match simulations, validating both the optimisation approach and the effectiveness of the prototyped resolver for precise rotor position detection in electric aircraft.","PeriodicalId":13352,"journal":{"name":"Iet Electric Power Applications","volume":"19 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/elp2.70031","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143930396","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

Design, Optimisation and Prototyping of Variable Reluctance Resolvers With Narrower Stator Excitation Teeth 窄定子励磁齿变磁阻变压器的设计、优化和原型设计

IF 1.5 4区工程技术

Iet Electric Power Applications Pub Date : 2025-05-09 DOI: 10.1049/elp2.70033

Davood Karamalian, Behrooz Majidi, Mohammadreza Moradian, Khoshnam Shojaei, Sayyed Mohammad Mehdi Mirtalaei

{"title":"Design, Optimisation and Prototyping of Variable Reluctance Resolvers With Narrower Stator Excitation Teeth","authors":"Davood Karamalian, Behrooz Majidi, Mohammadreza Moradian, Khoshnam Shojaei, Sayyed Mohammad Mehdi Mirtalaei","doi":"10.1049/elp2.70033","DOIUrl":"https://doi.org/10.1049/elp2.70033","url":null,"abstract":"This paper aims to enhance the performance of the existing non-overlapping variable reluctance resolvers (VRRs) to obtain more accurate position signals by optimising the stator excitation teeth using genetic algorithm (GA). For this purpose, first, the principles of operation in non-overlapping VRRs are demonstrated using a magnetic equivalent circuit (MEC). Then, the MEC model is utilised to verify the principles of incorporating narrower excitation teeth in the non-overlapping model. The modified MEC provides a fast and sufficiently accurate model, so it is employed in the optimisation phase where GA is used to determine the optimal dimensions for the teeth. Following the MEC optimisation process, the proposed resolver is simulated and compared with a conventional equal teeth model using the finite element method (FEM). Finally, the proposed model with narrower excitation teeth is prototyped and tested. Results from MEC, FEM and the prototyped resolver confirm the effectiveness of the proposed model and validate the feasibility of using narrower excitation teeth to improve resolver's accuracy.","PeriodicalId":13352,"journal":{"name":"Iet Electric Power Applications","volume":"19 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/elp2.70033","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143930397","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

Online Permanent Magnet Temperature Estimation in Permanent Magnet Machines Using Nonlinear Observer With Enhanced Parameter Estimation to Minimise Risk of Demagnetisation 基于非线性观测器和增强参数估计的永磁电机永磁体温度在线估计，以降低退磁风险

IF 1.5 4区工程技术

Iet Electric Power Applications Pub Date : 2025-05-06 DOI: 10.1049/elp2.70043

Ryan Brody, Michael McIntyre, Brandon Grainger

引用次数: 0