{"title":"A Novel Hybrid Multi-Objective Optimization Algorithm and Its Application to Designs of Electromagnetic Devices","authors":"Yilun Li;Zhengwei Xie;Shiyou Yang;Zhuoxiang Ren","doi":"10.1109/TMAG.2024.3519202","DOIUrl":"https://doi.org/10.1109/TMAG.2024.3519202","url":null,"abstract":"In this article, a novel hybrid multi-objective optimization (MOO) algorithm is proposed by combining an improved sparrow search algorithm (SSA) with an improved non-dominated sorting genetic algorithm (NSGA-II). The original SSA is improved by the introduction of population updating mechanism of moth-flame optimization (MFO) algorithm and by adopting adaptive mutation; meanwhile, NSGA-II is enhanced by using Latin hypercube sampling and dynamical selection mechanism of crossover and mutation operators. The performance of the proposed hybrid algorithm is verified using standard test functions and it is applied to the multi-objective optimal designs of TEAM22 benchmark problem and topology optimization problem of an electromagnetic actuator prototype. Numerical results demonstrate the effectiveness and superiority of the proposed algorithm.","PeriodicalId":13405,"journal":{"name":"IEEE Transactions on Magnetics","volume":"61 2","pages":"1-4"},"PeriodicalIF":2.1,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143107110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Low-Equivalent Magnetic Noise and High-Sensitivity Magneto-Electric Coupling Sensor Based on Series Structure","authors":"Xiaoxu Liu;Zhihao Jiang;Shipeng Zhang;Quanming Gao;Zhao Yao;Yuheng Wang;Xiang Li;Ming Liu;Zhejun Jin;Shandong Li","doi":"10.1109/TMAG.2024.3520254","DOIUrl":"https://doi.org/10.1109/TMAG.2024.3520254","url":null,"abstract":"Magneto-electric (ME) coupled sensors are a new type of magneto-mechanical-electrical-based sensors for weak magnetic (0–100 Hz, less than 100 nT) measurements. In practical applications, sensor performance parameters such as sensitivity, noise, and detection limit affect the test results. In this article, the ferroelectric hysteresis loop of the piezoelectric material (PZT) and the hysteresis curve of the magnetostrictive material (Metglas) were first tested. Two ME sensors with the same dimensions and similar resonance conditions were then connected in series, and the measurements showed a large improvement in the performance of the sensors. It is found that the series-connected sensor reduces the equivalent magnetic noise (EMN) from 6 to 3.4 pT/Hz<inline-formula> <tex-math>$^{1/2}$ </tex-math></inline-formula> with no change in the inflection point of the low-frequency 1/f spectrum, and the performance is improved by 44%. The ME coupling effect is more obvious after the series connection, the ME coupling coefficient <inline-formula> <tex-math>$alpha _{text {ME}} =333.15$ </tex-math></inline-formula> V/cm<inline-formula> <tex-math>$cdot $ </tex-math></inline-formula>Oe, the detection limit can be as low as 60 pT, and the sensitivity of the series sensor is improved from 115 to 76 pT, which improves the performance by 33%. Finally, the forced vibration of the electrical signal when the sensors are connected in series is investigated.","PeriodicalId":13405,"journal":{"name":"IEEE Transactions on Magnetics","volume":"61 3","pages":"1-6"},"PeriodicalIF":2.1,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143496537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bingdong Wang;Daohan Wang;Jun Nie;Wenqiang Miao;Chenqi Wang;Xiuhe Wang
{"title":"Zero-Order Electromagnetic Vibration Suppression of Permanent Magnet Synchronous Motor With Harmonic Currents Injection","authors":"Bingdong Wang;Daohan Wang;Jun Nie;Wenqiang Miao;Chenqi Wang;Xiuhe Wang","doi":"10.1109/TMAG.2024.3519574","DOIUrl":"https://doi.org/10.1109/TMAG.2024.3519574","url":null,"abstract":"With the extensive application of permanent magnet synchronous motors (PMSMs), their vibration and noise performance have also received increasing attention. The traditional reducing vibration method by adjusting the motor topology is not universal and costly. In addition, the zero-order mode of PMSMs always has a low natural frequency, which likely interacts with the zero-order electromagnetic force waves to increase vibration. Therefore, a novel method is proposed to reduce the zero-order vibration of PMSMs by injecting harmonic currents. Based on the zero-order natural frequency of the PMSM stator, this method will selectively adjust the frequency and amplitude of injected harmonic current to reduce vibration. The theoretical basis, simulation verification, and experimental implementation of the novel method are thoroughly researched, exhibiting its ability to reduce zero-order vibration of PMSMs.","PeriodicalId":13405,"journal":{"name":"IEEE Transactions on Magnetics","volume":"61 2","pages":"1-5"},"PeriodicalIF":2.1,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143107160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Inductance Derivation and Experimental Verification According to Operating Range of Interior Permanent Magnet Synchronous Motor","authors":"Kyeong-Won Kwak;Su-Min Kim;Sang-Hyeop Kim;Yong-Joo Kim;Kyung-Hun Shin;Jang-Young Choi","doi":"10.1109/TMAG.2024.3519739","DOIUrl":"https://doi.org/10.1109/TMAG.2024.3519739","url":null,"abstract":"This article presents a method for deriving the inductance of an interior permanent magnet synchronous motor (IPMSM) by considering magnetic saturation. To obtain accurate inductance values during the motor characteristic analysis, it is necessary to consider the influence of core saturation on the magnetic flux changes. First, two distinct inductance calculation methods are presented, which are used to derive an inductance map across all operational regions. The torque was calculated using the derived inductance values. Finally, the validity of the analysis was confirmed by comparing the measurement results of the manufactured IPMSM.","PeriodicalId":13405,"journal":{"name":"IEEE Transactions on Magnetics","volume":"61 2","pages":"1-4"},"PeriodicalIF":2.1,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143107159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Prediction Model of Torque Control Parameters Considering Temperature Dependency of IPMSM","authors":"Vu-Khanh Tran;Jae-Gil Lee;Pil-Wan Han;Yon-Do Chun","doi":"10.1109/TMAG.2024.3519579","DOIUrl":"https://doi.org/10.1109/TMAG.2024.3519579","url":null,"abstract":"This study proposes a computationally efficient torque estimation model for the interior permanent magnet synchronous motor (IPMSM), considering the temperature-dependent magnetic properties of the permanent magnet (PM). It is well known that the magnetic flux of the IPMSM is caused by both the PM and the current source in the stator winding. Hence, the magnetic torque depends on PM temperature as PM flux varies with temperature variation. Using finite element analysis (FEAs), the proposed model accounts for nonlinear characteristics, such as <inline-formula> <tex-math>$d, q$ </tex-math></inline-formula> cross-coupling and saturation effects based on flux linkage mapping. Moreover, the static FEA is conducted to achieve time-efficient computation, and the least number of required simulations is considered. An IPMSM designed for the target high-speed train traction motor is employed to validate the proposed method. Validation is conducted by comparing the results obtained from the proposed prediction model with the results from time-transient (TT) FEA at different PM temperatures. The results show a good agreement between the proposed method and the FEA results while significant reduction simulation time.","PeriodicalId":13405,"journal":{"name":"IEEE Transactions on Magnetics","volume":"61 2","pages":"1-4"},"PeriodicalIF":2.1,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143107161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Enhanced Detection Performance of a TMR Sensor-Based Metal Detector With the Wavelet Denoising Algorithm","authors":"Chenge Ding;Junqi Gao;Ying Shen;Zekun Jiang;Cheng Gao;Jiamin Chen","doi":"10.1109/TMAG.2024.3520110","DOIUrl":"https://doi.org/10.1109/TMAG.2024.3520110","url":null,"abstract":"The magnetic fingerprint characteristics (MFCs) of active magnetic detection are magnetic signals induced by a metal target that is excited by a primary magnetic field. The detection performance of such a technique is affected mainly by the extraction of MFCs from complex magnetic fields. In this work, we propose a wavelet denoising analysis method to effectively suppress magnetic background noise and extract the MFCs of interest of induced signals in an active magnetic detection system. Moreover, the experimental results demonstrated that the processed wavelet denoising analysis method is consistent with the simulated magnetic dipole model, which can suppress environmental noise to less than 5 nT. The results of the simulations and experiments show that wavelet denoising can effectively remove noise and improve active magnetic detection performance.","PeriodicalId":13405,"journal":{"name":"IEEE Transactions on Magnetics","volume":"61 3","pages":"1-6"},"PeriodicalIF":2.1,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143496541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ji-Sung Lee;Jong-Min Ahn;Dong-Kuk Lim;Kyungjin Kang
{"title":"Novel Salient Stator Pole-Shoe Structure for Reducing Shaft-to-Frame Voltage of the PMSM","authors":"Ji-Sung Lee;Jong-Min Ahn;Dong-Kuk Lim;Kyungjin Kang","doi":"10.1109/TMAG.2024.3519602","DOIUrl":"https://doi.org/10.1109/TMAG.2024.3519602","url":null,"abstract":"The permanent magnet synchronous motors (PMSMs) are exposed to harmful bearing currents and shaft voltage, which affect their lifetime. This study suggests a novel salient stator pole-shoe (SSPS) structure to suppress the shaft voltage and bearing current. The SSPS interferes with the effect of the electric field between the winding and the rotor, thereby reducing winding-rotor capacitance <inline-formula> <tex-math>$C_{text {wr}}$ </tex-math></inline-formula>, which is a major factor for the shaft voltage. An analytical method is proposed to simply account for the fringing effect (FE) and charge sharing effect (CSE) of the electric field to verify the reduction effect of <inline-formula> <tex-math>$C_{text {wr}}$ </tex-math></inline-formula> in SSPS. The electrostatic finite element analysis (FEAs) is performed to calculate the parasitic capacitance and compare the difference between the SSPS and the classical pole-shoe model. To validate the effectiveness of the SSPS, the magnetic field transient FEA is performed compared with classical model. Finally, the shaft voltage of two prototypes (SSPS and classical model) is verified by experiment. The SSPS enhances the manufacturability through minimal modifies in geometry, unlike the conventional method of using additional shielding parts. In other words, this study offers a compromise between manufacturability and shaft voltage reduction issue for many researchers and engineers.","PeriodicalId":13405,"journal":{"name":"IEEE Transactions on Magnetics","volume":"61 3","pages":"1-4"},"PeriodicalIF":2.1,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143496555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A New Hybrid Algorithm Based on PSO and Fireworks Algorithm for Optimal Design of Metasurface Absorber in RF Energy Harvesting","authors":"Na Chen;Shiyou Yang;Siguang An","doi":"10.1109/TMAG.2024.3519201","DOIUrl":"https://doi.org/10.1109/TMAG.2024.3519201","url":null,"abstract":"To address the nonlinear, multimodal, and computationally intensive challenges inherent in the optimal design of metasurface absorbers for radio frequency (RF) energy harvesting, we propose an innovative hybrid algorithm that combines particle swarm optimization (PSO) and fireworks algorithm (FWA). The proposed hybrid algorithm features several enhancements: 1) a quasi-scaling (Q.S.) mechanism, inspired by the frequency response of electromagnetic (EM) devices shifting with the scaling of physical parameters, is developed to balance the exploration and exploitation searches; 2) a self-adaptive inertia weight is introduced to enhance the convergence speed; and 3) an elite-preservation strategy is employed to ensure a global convergence. The effectiveness and merits of the proposed algorithm are validated by solving first mathematical test functions; then, two practical cases: a multi-band absorber (1.8–3 GHz, 5.85 GHz) and a broadband absorber (8–15 GHz), where a new dual-polarized metasurface absorber topology is employed. Both cases are efficiently optimized, demonstrating high absorption efficiencies within the targeted bands, and validated by both simulated and measured results.","PeriodicalId":13405,"journal":{"name":"IEEE Transactions on Magnetics","volume":"61 2","pages":"1-4"},"PeriodicalIF":2.1,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143107113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Investigation and Analysis of Power Factor Characteristics Based on the Harmonic Distortion Effect for the Permanent Magnet Linear Machine","authors":"Dingying Wu;Jin Xu","doi":"10.1109/TMAG.2024.3519168","DOIUrl":"https://doi.org/10.1109/TMAG.2024.3519168","url":null,"abstract":"This article investigates the power factor characteristics of the permanent magnet linear machine (PMLM) with the modulation ratio effect (MRE). Due to the machine MRE, the PMLM has more effective harmonics for the thrust force production, but it also has lower PF value. To investigate the relationship between the power factor and MRE, the power factor has been derived under different control strategies, the lower power factor in machine has been revealed, and the harmonic distortion ratio has been defined. Then, the magnetic field and the harmonic distortion of different permanent magnet (PM) machine topologies have been analyzed and compared; eight models with various combinations of slot and pole have been compared and evaluated. Finally, both the 12-slot/10-pole and 12-slot/14-pole combinations have lower <inline-formula> <tex-math>$k_{text {MR}}$ </tex-math></inline-formula> and higher power factor, and the research results have provided the feasibility of the proposed method, which provides an approach in the power factor optimization and machine design.","PeriodicalId":13405,"journal":{"name":"IEEE Transactions on Magnetics","volume":"61 2","pages":"1-5"},"PeriodicalIF":2.1,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143107165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. Hernandez;B. Campos;L. Diaz;J. Lara;M. A. Arjona
{"title":"Electromagnetic Design Optimization of a PMSG Using a Deep Neural Network Approach","authors":"C. Hernandez;B. Campos;L. Diaz;J. Lara;M. A. Arjona","doi":"10.1109/TMAG.2024.3518536","DOIUrl":"https://doi.org/10.1109/TMAG.2024.3518536","url":null,"abstract":"This article presents the electromagnetic design optimization of a permanent magnet synchronous generator (PMSG) based on machine learning (ML). First, the optimization methodology is presented; then, a correlation and a sensitivity analysis are carried out to determine the set of design variables. The optimization goal is maximizing efficiency, which is equivalent to minimizing electrical PMSG losses. It also considers the core and copper materials by minimizing their weight. A deep neural network (DNN) architecture is developed and trained using PMSG 2D-FE data. The DNN is based on the nonlinear rectified linear unit (ReLU). The resulting DNN was later used to construct the PMSG objective function, which was then solved using non-sorting genetic algorithms. Numerical results and comparisons between two genetic algorithms are given to demonstrate the validity of the proposed approach.","PeriodicalId":13405,"journal":{"name":"IEEE Transactions on Magnetics","volume":"61 2","pages":"1-4"},"PeriodicalIF":2.1,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143107109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}