Pub Date : 2024-12-18DOI: 10.1109/TMAG.2024.3519574
Bingdong Wang;Daohan Wang;Jun Nie;Wenqiang Miao;Chenqi Wang;Xiuhe Wang
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.
{"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}
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.
{"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}
Pub Date : 2024-12-18DOI: 10.1109/TMAG.2024.3519579
Vu-Khanh Tran;Jae-Gil Lee;Pil-Wan Han;Yon-Do Chun
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 $d, q$ 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.
{"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}
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.
{"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}
Pub Date : 2024-12-18DOI: 10.1109/TMAG.2024.3519602
Ji-Sung Lee;Jong-Min Ahn;Dong-Kuk Lim;Kyungjin Kang
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 $C_{text {wr}}$ , 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 $C_{text {wr}}$ 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.
{"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}
Pub Date : 2024-12-17DOI: 10.1109/TMAG.2024.3519201
Na Chen;Shiyou Yang;Siguang An
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.
{"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}
Pub Date : 2024-12-17DOI: 10.1109/TMAG.2024.3519168
Dingying Wu;Jin Xu
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 $k_{text {MR}}$ 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.
{"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}
Pub Date : 2024-12-16DOI: 10.1109/TMAG.2024.3518536
C. Hernandez;B. Campos;L. Diaz;J. Lara;M. A. Arjona
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.
{"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}
This study investigates the performance enhancement of wound field synchronous motors (WFSMs) through a design method that incorporates grain-oriented electrical steel (GOES). Cross-magnetization, resulting from the overlapping fluxes of the d- and q-axes, occurs within the rotor of the WFSM. Consequently, rotor design must enable optimal utilization of cross-magnetization to enhance electromagnetic performance. This study proposes an approach that uses the magnetic properties aligned with the easy axis of GOES, aiming to improve cross-magnetization utilization and reduce copper loss. Electromagnetic torque improvements are demonstrated by analyzing the magnetic flux path in comparison to models using non-oriented electrical steel (NOES). Furthermore, the role of cross-magnetization in performance enhancement is examined through a detailed analysis of the easy axis of GOES. Finally, the superiority of GOES is established through optimal rotor designs based on the type of electrical steel applied.
{"title":"Performance Improvement of Wound Field Synchronous Motor for EV Propulsion Applying Grain-Oriented Electrical Steel","authors":"Ho-Jin Oh;Jae-Hoon Cho;Young-Ho Hwang;Yongmin Kim;Seok-Won Jung;Sang-Yong Jung","doi":"10.1109/TMAG.2024.3518457","DOIUrl":"https://doi.org/10.1109/TMAG.2024.3518457","url":null,"abstract":"This study investigates the performance enhancement of wound field synchronous motors (WFSMs) through a design method that incorporates grain-oriented electrical steel (GOES). Cross-magnetization, resulting from the overlapping fluxes of the d- and q-axes, occurs within the rotor of the WFSM. Consequently, rotor design must enable optimal utilization of cross-magnetization to enhance electromagnetic performance. This study proposes an approach that uses the magnetic properties aligned with the easy axis of GOES, aiming to improve cross-magnetization utilization and reduce copper loss. Electromagnetic torque improvements are demonstrated by analyzing the magnetic flux path in comparison to models using non-oriented electrical steel (NOES). Furthermore, the role of cross-magnetization in performance enhancement is examined through a detailed analysis of the easy axis of GOES. Finally, the superiority of GOES is established through optimal rotor designs based on the type of electrical steel applied.","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":"143107162","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}
Pub Date : 2024-12-16DOI: 10.1109/TMAG.2024.3518557
Yiying Li;Xiaowen Xu;Shiyou Yang
Metamaterial (MM) is very promising in engineering applications since it exhibits extraordinary physical properties that do not exist in nature. Nevertheless, the development of an MM still faces some bottleneck problems, such as maximizing the negative permeability and ensuring the robustness of the high permeability at the working frequency in engineering applications. To address the inefficiencies of the existing multi-objective robust optimization methodologies in applications to MM designs, an improved multi-objective genetic algorithm and an adaptive surrogate model are proposed. To accelerate the solution speed of the original multi-objective algorithm in finding both high-quality solutions and distributing them uniformly, two polynomial approximation-based move operations are proposed. Moreover, some dominant techniques including the construction of the relationship between different objective functions and the relationship between the objectives and the design variables are investigated. Also, an adaptive surrogate model is introduced to efficiently quantify the robust performance of a solution. The numerical results of optimizations of two mathematical benchmark problems and a prototype MM unit have demonstrated the feasibility and merits of the proposed methodology.
{"title":"An Improved Multi-Objective GA for Low-Frequency Metamaterial Unit Robust Optimization Under Uncertainty","authors":"Yiying Li;Xiaowen Xu;Shiyou Yang","doi":"10.1109/TMAG.2024.3518557","DOIUrl":"https://doi.org/10.1109/TMAG.2024.3518557","url":null,"abstract":"Metamaterial (MM) is very promising in engineering applications since it exhibits extraordinary physical properties that do not exist in nature. Nevertheless, the development of an MM still faces some bottleneck problems, such as maximizing the negative permeability and ensuring the robustness of the high permeability at the working frequency in engineering applications. To address the inefficiencies of the existing multi-objective robust optimization methodologies in applications to MM designs, an improved multi-objective genetic algorithm and an adaptive surrogate model are proposed. To accelerate the solution speed of the original multi-objective algorithm in finding both high-quality solutions and distributing them uniformly, two polynomial approximation-based move operations are proposed. Moreover, some dominant techniques including the construction of the relationship between different objective functions and the relationship between the objectives and the design variables are investigated. Also, an adaptive surrogate model is introduced to efficiently quantify the robust performance of a solution. The numerical results of optimizations of two mathematical benchmark problems and a prototype MM unit have demonstrated the feasibility and merits of the proposed methodology.","PeriodicalId":13405,"journal":{"name":"IEEE Transactions on Magnetics","volume":"61 2","pages":"1-5"},"PeriodicalIF":2.1,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143107114","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}
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