Iet Electric Power Applications最新文献_第5页

Modelling and Predictive Control of Electromechanical Actuators for All-Electric Nose Landing Gear Systems 全电动前起落架系统机电致动器建模与预测控制

IF 1.5 4区工程技术

Iet Electric Power Applications Pub Date : 2025-04-03 DOI: 10.1049/elp2.70022

Ming-Yen Wei

{"title":"Modelling and Predictive Control of Electromechanical Actuators for All-Electric Nose Landing Gear Systems","authors":"Ming-Yen Wei","doi":"10.1049/elp2.70022","DOIUrl":"https://doi.org/10.1049/elp2.70022","url":null,"abstract":"This study investigates the modelling and predictive control methods for electromechanical actuators (EMAs) used in the retraction and extension system of all-electric nose landing gears. By integrating predictive control theory, the proposed approach aims to enhance control performance and system reliability. A discrete-time EMA model is developed to establish the relationship between predicted current and actuator dynamics. A cost function minimisation algorithm is constructed using switching states, predicted current and measured current values to determine the optimal switching sequence, thereby generating the voltage vectors required for motor operation. To address potential faults such as unbalanced loads, magnetic interference or environmental factors, this study employs a fault diagnosis method based on feedback current, predicted current and adaptive thresholds. Upon detecting actuator failure, a secondary control loop enables emergency gear release. This dual-loop strategy ensures routine and emergency functionality, delivering over 2000 N of thrust at operating speeds ranging from 5 mm/s to 8 mm/s. A prototype EMA system was developed, and experimental results confirm its feasibility, accuracy and robustness, providing a reliable solution for all-electric landing gear applications.","PeriodicalId":13352,"journal":{"name":"Iet Electric Power Applications","volume":"19 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/elp2.70022","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143769983","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

Experimental Investigation on Cumulative Effects of Transformer Winding Deformation Under Short-Circuit Impulses 短路脉冲作用下变压器绕组变形累积效应实验研究

IF 1.5 4区工程技术

Iet Electric Power Applications Pub Date : 2025-04-03 DOI: 10.1049/elp2.70020

Jun Liu, She Chen, Feng Wang, Dengfeng Zhu, Xu Li, Yao Zhong, Zhongxiang Li

{"title":"Experimental Investigation on Cumulative Effects of Transformer Winding Deformation Under Short-Circuit Impulses","authors":"Jun Liu, She Chen, Feng Wang, Dengfeng Zhu, Xu Li, Yao Zhong, Zhongxiang Li","doi":"10.1049/elp2.70020","DOIUrl":"https://doi.org/10.1049/elp2.70020","url":null,"abstract":"Power transformer windings are susceptible to deformation after multiple short-circuit impulses, threatening power grid stability. Currently, there is a lack of experimental data on various characteristic parameters of failures after multiple short-circuit impulses. To investigate winding deformation and its gradual deterioration, a mock-up transformer was constructed to study the cumulative effects. Short-circuit tests were conducted under different current ratios, and the cumulative effect was quantified based on short-circuit impedance and axial force variations. A correlation was established between different current ratios, impulse number and cumulative winding deformation. The cumulative effects of winding deformation are categorised into four levels: none, minor, significant and severe. Thresholds indicating severe deformation and degraded short-circuit withstand ability are defined by an absolute impedance change rate exceeding 1.1% and a relative rate exceeding 0.3%. Additionally, an axial force change rate of ± 20% serves as an early warning indicator, providing greater sensitivity to detecting impulse effects on winding stability compared to impedance change rate. Monitoring impedance and axial force changes provides a reliable approach to assessing transformers affected by the cumulative effects of short-circuit and identifying the risk of winding deformation.","PeriodicalId":13352,"journal":{"name":"Iet Electric Power Applications","volume":"19 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/elp2.70020","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143769981","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

Robust Decentralised Voltage Control Strategy for DC Microgrids Considering Disturbances and Polytopic-Type Uncertainties 考虑扰动和多向不确定性的直流微电网鲁棒分散电压控制策略

IF 1.5 4区工程技术

Iet Electric Power Applications Pub Date : 2025-04-03 DOI: 10.1049/elp2.70016

Elham Moradi-Khaligh, Shahram Karimi, Mahdieh S. Sadabadi

{"title":"Robust Decentralised Voltage Control Strategy for DC Microgrids Considering Disturbances and Polytopic-Type Uncertainties","authors":"Elham Moradi-Khaligh, Shahram Karimi, Mahdieh S. Sadabadi","doi":"10.1049/elp2.70016","DOIUrl":"https://doi.org/10.1049/elp2.70016","url":null,"abstract":"Constant power loads (CPLs) may cause voltage oscillations or even endanger the stability of the entire DC microgrid systems due to their negative impedance characteristics. For this reason, this paper investigates the issue of DC microgrid voltage control in the presence of uncertain CPLs. A robust decentralised voltage controller for an autonomous DC microgrid is proposed in this paper. The proposed controller ensures the DC microgrid stability and furnishes the desired operation in the presence of different sources of uncertainty and disturbances. To that end, the polytopic state-space model of the system is developed. Then, an output feedback controller is designed to dynamically control the voltage of an autonomous DC microgrid. The main contributions of the proposed voltage controller can be highlighted as follows: The proposed controller is fully decentralised; it requires only voltage measurement and does not require additional state measurements or state estimators; due to the robust performance feature of the proposed approach, it does not require pre-filter design; the proposed linear matrix inequality condition is less conservative. All these, in turn, reduce the computational burden and complexity. Various scenarios have been conducted in MATLAB/Simscape Electrical Toolbox to investigate the effectiveness and efficiency of the proposed control framework.","PeriodicalId":13352,"journal":{"name":"Iet Electric Power Applications","volume":"19 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/elp2.70016","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143769982","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 Non-Uniform Temperature Distribution on Elastoplastic Deformation of Windings 非均匀温度分布对绕组弹塑性变形的影响

IF 1.5 4区工程技术

Iet Electric Power Applications Pub Date : 2025-04-01 DOI: 10.1049/elp2.70023

Jiajun Kou, Dongyang Li, Gang Liu, Wenxuan Zhou, Yunpeng Liu, Shuguo Gao, Haoyu Liu

{"title":"Influence of Non-Uniform Temperature Distribution on Elastoplastic Deformation of Windings","authors":"Jiajun Kou, Dongyang Li, Gang Liu, Wenxuan Zhou, Yunpeng Liu, Shuguo Gao, Haoyu Liu","doi":"10.1049/elp2.70023","DOIUrl":"https://doi.org/10.1049/elp2.70023","url":null,"abstract":"To accurately analyse the deformation of transformer windings under short-circuit conditions, a three-dimensional multiphysics field simulation model of the magnetic-fluid-thermal-structural coupling is constructed. The current magnitude under rated and short-circuit conditions of the transformer are calculated, the magnetic field distribution is obtained based on the current, and the loss is calculated as the heat source for temperature simulation. The temperature distribution results and short-circuit electromagnetic force are used as initial conditions for structural field simulation to analyse the elastic-plastic deformation, residual stress, and residual deformation of the winding under short-circuit impact. Considering the non-uniform distribution of winding temperature, compared with the results of the uniform temperature distribution, the maximum plastic strain of the winding increases by 84.6% after being subjected to short-circuit impact. The position of the wire cake where the maximum residual stress and residual deformation of the winding are located is different, and the values increase by 13.5% and 95.3%, respectively. Therefore, considering the non-uniform temperature distribution during the simulation process is more closely related to the actual working conditions, and thus more accurate in obtaining the location where cumulative deformation occurs.","PeriodicalId":13352,"journal":{"name":"Iet Electric Power Applications","volume":"19 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/elp2.70023","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143749596","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

A Data-Driven Model to Predict Mutual Inductance Between Planar Coils With Arbitrary Specifications and Positions 一种预测任意规格和位置平面线圈互感的数据驱动模型

IF 1.5 4区工程技术

Iet Electric Power Applications Pub Date : 2025-04-01 DOI: 10.1049/elp2.70015

Mahdi Asadi, Amir Musa Abazari

{"title":"A Data-Driven Model to Predict Mutual Inductance Between Planar Coils With Arbitrary Specifications and Positions","authors":"Mahdi Asadi, Amir Musa Abazari","doi":"10.1049/elp2.70015","DOIUrl":"https://doi.org/10.1049/elp2.70015","url":null,"abstract":"The accurate prediction of mutual inductance in inductive planar coils is a critical challenge in advancing wireless power transfer (WPT) systems, particularly as traditional analytical methods struggle to balance precision and computational speed in complex, real-world scenarios. This study addresses these limitations by exploring data-driven algorithms for predicting mutual inductance. Additionally, the study offers a robust solution to handle the nonlinearities and dynamic requirements of three-dimensional coil configurations. Seven regression algorithms—linear, polynomial, kernel ridge, decision tree, random forest, support vector and neural network—are evaluated to identify the most effective approach. Key results reveal the superior performance of kernel ridge, support vector and neural network regression models, achieving R2 scores of 0.995, 0.987 and 0.992, respectively. Kernel ridge regression demonstrated the lowest error metrics, with an MAE of 49.624 nH and an RMSE of 86.174 nH, whereas support vector and neural network regression followed closely with slightly higher errors. Conversely, traditional models such as linear regression and decision tree showed significantly higher MAEs and RMSEs, highlighting their inadequacy for handling the complexities of WPT datasets. This research establishes a scalable and accurate framework for mutual inductance prediction, paving the way for improved efficiency in WPT systems.","PeriodicalId":13352,"journal":{"name":"Iet Electric Power Applications","volume":"19 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/elp2.70015","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143749597","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

Active disturbance rejection current controller with time delay compensation predictive ESO for aircraft PMSM drive 飞机永磁同步电机驱动时滞补偿预测ESO自抗扰电流控制器

IF 1.5 4区工程技术

Iet Electric Power Applications Pub Date : 2025-03-26 DOI: 10.1049/elp2.12522

Chunqiang Liu, Zhiwen Zhao, Yanfei You, Xuechao Duan, Lijun Chen, Xi Xiao

{"title":"Active disturbance rejection current controller with time delay compensation predictive ESO for aircraft PMSM drive","authors":"Chunqiang Liu, Zhiwen Zhao, Yanfei You, Xuechao Duan, Lijun Chen, Xi Xiao","doi":"10.1049/elp2.12522","DOIUrl":"https://doi.org/10.1049/elp2.12522","url":null,"abstract":"In this paper, the authors propose a novel active disturbance rejection current control method aimed at resolving inherent issues within the digital control system of an aircraft's permanent magnet synchronous motor (PMSM). These issues include a one-sample time delay and low-pass filter in the current measurement channel. The proposed method involves estimating the time delay using a predictive extended state observer (ESO) within the current loop of the PMSM to enhance anti-disturbance capabilities and robustness. Initially, a discrete-time model that takes current loop time delay into consideration is established. Subsequently, a predictive ESO is designed to estimate disturbances within the current loop. This ESO incorporates known model information to improve the accuracy and speed of disturbance estimation. Furthermore, compensation is made for the time delay stemming from the low-pass filter in the current measurement channel to enable real-time current detection. Lastly, the disturbance estimated by predictive ESO is combined with the feedback control law to form a model-enhanced active disturbance rejection current controller. The results from simulations and experiments validate the feasibility and accuracy of the proposed methodology.","PeriodicalId":13352,"journal":{"name":"Iet Electric Power Applications","volume":"19 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/elp2.12522","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143698992","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

Enhanced Multi-Objective Design Optimisation of Salient Pole Reluctance Magnetic Gear Using Bayesian-Optimised Artificial Neural Networks 基于贝叶斯优化人工神经网络的凸极磁阻齿轮多目标优化设计

IF 1.5 4区工程技术

Iet Electric Power Applications Pub Date : 2025-03-25 DOI: 10.1049/elp2.70017

Aran Shoaei, Farnam Farshbaf-Roomi, Qingsong Wang

{"title":"Enhanced Multi-Objective Design Optimisation of Salient Pole Reluctance Magnetic Gear Using Bayesian-Optimised Artificial Neural Networks","authors":"Aran Shoaei, Farnam Farshbaf-Roomi, Qingsong Wang","doi":"10.1049/elp2.70017","DOIUrl":"https://doi.org/10.1049/elp2.70017","url":null,"abstract":"The application of artificial intelligence in magnetic gear design has opened new avenues for accelerating computation and optimisation processes. In this paper, a Bayesian-optimised artificial neural network (ANN) was presented as a surrogate model to predict the performance of salient pole reluctance magnetic gears (SP-RMGs). The model focuses on key performance indicators such as average torque, torque ripple, and total weight. A diverse dataset generated through Latin hypercube sampling (LHS) is used to train the ANN, which employs customised activation functions to accurately capture the non-linear characteristics of the magnetic gear. Bayesian optimisation is applied to fine-tune the hyperparameters, resulting in a significant reduction in computational time. The proposed approach leverages deep learning to efficiently accelerate the multi-objective optimisation process, providing accurate predictions of SP-RMG performance metrics. The optimisation results demonstrate significant improvements with the model predicting optimal design parameters that enhance torque performance, reduce torque ripple by 47.2%, and decrease total weight. The proposed approach offers a substantial reduction in computational time while delivering precise optimisation outcomes.","PeriodicalId":13352,"journal":{"name":"Iet Electric Power Applications","volume":"19 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/elp2.70017","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143698898","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

A New Flux Reversal Motor With Slot and Tooth Permanent Magnets 一种新型槽齿永磁体磁通反转电机

IF 1.5 4区工程技术

Iet Electric Power Applications Pub Date : 2025-03-25 DOI: 10.1049/elp2.70010

Mohammad Reza Sarshar, Jamshid Kavianpour, Mohammad Amin Jalali Kondelaji, Mojtaba Mirsalim

{"title":"A New Flux Reversal Motor With Slot and Tooth Permanent Magnets","authors":"Mohammad Reza Sarshar, Jamshid Kavianpour, Mohammad Amin Jalali Kondelaji, Mojtaba Mirsalim","doi":"10.1049/elp2.70010","DOIUrl":"https://doi.org/10.1049/elp2.70010","url":null,"abstract":"This article proposes a new consequent-pole (CP) flux reversal permanent magnet (FRPM) motor with homopolar PMs parked in the stator slot openings and between the wound poles' teeth. The proposed PM pattern offers an effective PM usage and lowers the effective armature air-gap length while increasing the output torque. The operating principle of the motor is analysed using a flux modulation theory (FMT) and the predominant harmonics of the air-gap flux density are unveiled. Furthermore, the proposed structure is comparatively analysed with a CPFRPM and a conventional FRPM (CFRPM). These structures are optimised with a genetic algorithm, and by using the finite element analysis (FEA), the no-load and full-load performances are studied. Thanks to effective PM placement, the torque density is improved by 65% and 29% compared to the CFRPM and CPFRPM, respectively. PM demagnetisation, along with a thermal analysis, is developed to guarantee that the PMs are not prone to demagnetisation. A comparative study is also performed to highlight the outperformance of the proposed structure among the stator-PM motors. Eventually, the motor is prototyped and tested to validate the FEA predictions.","PeriodicalId":13352,"journal":{"name":"Iet Electric Power Applications","volume":"19 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/elp2.70010","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143698899","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 Digital Analysis Method of Transformer Hot Spot Temperature Based on BP Neural Network Optimised by Genetic Algorithm 基于遗传算法优化BP神经网络的变压器热点温度数字化分析方法研究

IF 1.5 4区工程技术

Iet Electric Power Applications Pub Date : 2025-03-22 DOI: 10.1049/elp2.70018

Dongxue Li, Yan Liu, Zhonghua Lv, Shuang Xia, Quanyong Jing, Qiang Ma, Yongteng Jing

{"title":"Research on Digital Analysis Method of Transformer Hot Spot Temperature Based on BP Neural Network Optimised by Genetic Algorithm","authors":"Dongxue Li, Yan Liu, Zhonghua Lv, Shuang Xia, Quanyong Jing, Qiang Ma, Yongteng Jing","doi":"10.1049/elp2.70018","DOIUrl":"https://doi.org/10.1049/elp2.70018","url":null,"abstract":"As the core equipment of the transmission system, the high hot spot temperature of the transformer will accelerate the ageing of the transformer, which will lead to thermal faults. It has become an urgent task to introduce digital technology to monitor and analyse the hot spot temperature in real time. In this paper, the magnetic, current and thermal multi-field coupling numerical analysis method is used to establish the digital model of the transformer and carry out simulation analysis, and the transformer loss data and temperature distribution are obtained. Infrared thermal image thermometer, thermocouple temperature measuring device and optical fibre temperature sensor are used to monitor the thermal state characteristic parameters of the transformer. From the two dimensions of multi-source and heterogeneous, a multi-source heterogeneous information fusion method is proposed to extract, clean, and filter experimental data. Taking 100 sets of data as the sample data, the first 80 sets of data are used as training sets to construct a BP neural network model optimised by the genetic algorithm, and the last 20 sets of data are used as prediction sets to test the model, so as to predict the hot spot temperature. By comparing with other algorithms, it is found that the evaluation constraint index of GA-BP is the smallest, MRE is 0.0651 and RMSE is 0.2158. MSPE was 0.44%. Combined with finite element analysis and external measurement data acquisition, a digital twin platform is developed to realise real-time evaluation and analysis of the transformer operation status, which is of great significance to the operation and maintenance of transformer equipment.","PeriodicalId":13352,"journal":{"name":"Iet Electric Power Applications","volume":"19 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/elp2.70018","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143689329","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 Winding Design and Analysis of Brushless Wound Rotor Synchronous Machines 无刷绕线转子同步电机新型绕线设计与分析

IF 1.5 4区工程技术

Iet Electric Power Applications Pub Date : 2025-03-22 DOI: 10.1049/elp2.70019

Ahsan Fayyaz, Faizan Mehmood, Ch. Muhammad Arbab Waheed, Zahid Ullah

{"title":"Novel Winding Design and Analysis of Brushless Wound Rotor Synchronous Machines","authors":"Ahsan Fayyaz, Faizan Mehmood, Ch. Muhammad Arbab Waheed, Zahid Ullah","doi":"10.1049/elp2.70019","DOIUrl":"https://doi.org/10.1049/elp2.70019","url":null,"abstract":"Synchronous machines are electric machines characterised by a rotating speed proportional to the AC supply and are independent of load. Traditional permanent magnet synchronous machines utilise rare earth minerals for rotor flux generation, posing challenges due to rising costs. In such conditions, wound rotor synchronous machines with electromagnets may offer several economic and operational benefits, particularly for applications requiring a wide range of speeds and better torque density. However, rotor excitation in these machines requires brushes and slip rings, which lead to higher initial and maintenance costs, increased sensitivity to fluctuations, reduced speed regulation, and lower power factor. Existing designs of brushless wound rotor synchronous machines use additional rotor windings, leading to increased complexity and reduced efficiency. Techniques such as third harmonic excitation have been employed to eliminate brushes, but these solutions often suffer from low starting torque and inefficient stator utilisation. To overcome the issues associated with existing brushless wound rotor machines, this article proposes a novel winding scheme that incorporates an additional stator winding to enhance the slot fill factor. Furthermore, the benefits of single and dual inverter-fed designs are analysed, highlighting the reduced cost, size, and simplified circuitry of the single inverter design, along with the improved control and performance offered by the dual inverter design. Finally, an advanced harmonic excitation method is integrated to optimise torque production. A thorough 2D finite element analysis has been conducted to validate the proposed designs and operational principles of the brushless wound rotor synchronous machine, demonstrating its potential for enhanced performance in various electric machine applications.","PeriodicalId":13352,"journal":{"name":"Iet Electric Power Applications","volume":"19 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/elp2.70019","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143689330","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