Pub Date : 2022-07-25DOI: 10.1109/OJIA.2022.3193584
Navid Rasekh;Jun Wang;Xibo Yuan
This paper presents an in-situ measurement method to accurately characterize the winding loss in high-frequency (HF) transformers, which is challenging to quantify in power electronics applications. This approach adapts the reactive voltage cancellation concept to measure the complete winding loss in HF transformers with the presence of the magnetic core and the load on the secondary side, while this concept was originally brought up for core loss measurement. As an in-situ method, the proposed testing method can factor in the non-linear winding loss elements impacted by the magnetic field interaction between the windings and the core under the large-signal operation, which are not properly assessed in existing approaches. The presented method significantly reduces the sensitivity of the measurement errors linked to the probe phase discrepancy, since the resistive winding loss is well separated out from the core loss. The acquired experimental results are compared and verified with other common empirical measurement methods and three-dimensional (3D) finite element analysis (FEA). As the finding, the measured winding AC resistance is found to be correlated with the load level. Furthermore, treating the complex winding loss and core loss as a black-box problem, this paper proposes a “total loss map” as an engineering solution to practically distribute the measured loss data of magnetic components to the end-users to enable quick and accurate loss estimation/modelling.
{"title":"In-Situ Measurement and Investigation of Winding Loss in High-Frequency Cored Transformers Under Large-Signal Condition","authors":"Navid Rasekh;Jun Wang;Xibo Yuan","doi":"10.1109/OJIA.2022.3193584","DOIUrl":"https://doi.org/10.1109/OJIA.2022.3193584","url":null,"abstract":"This paper presents an in-situ measurement method to accurately characterize the winding loss in high-frequency (HF) transformers, which is challenging to quantify in power electronics applications. This approach adapts the reactive voltage cancellation concept to measure the complete winding loss in HF transformers with the presence of the magnetic core and the load on the secondary side, while this concept was originally brought up for core loss measurement. As an in-situ method, the proposed testing method can factor in the non-linear winding loss elements impacted by the magnetic field interaction between the windings and the core under the large-signal operation, which are not properly assessed in existing approaches. The presented method significantly reduces the sensitivity of the measurement errors linked to the probe phase discrepancy, since the resistive winding loss is well separated out from the core loss. The acquired experimental results are compared and verified with other common empirical measurement methods and three-dimensional (3D) finite element analysis (FEA). As the finding, the measured winding AC resistance is found to be correlated with the load level. Furthermore, treating the complex winding loss and core loss as a black-box problem, this paper proposes a “total loss map” as an engineering solution to practically distribute the measured loss data of magnetic components to the end-users to enable quick and accurate loss estimation/modelling.","PeriodicalId":100629,"journal":{"name":"IEEE Open Journal of Industry Applications","volume":"3 ","pages":"164-177"},"PeriodicalIF":0.0,"publicationDate":"2022-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/8782707/9666452/09839507.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50325631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-20DOI: 10.1109/OJIA.2022.3192565
Ayman Al Zawaideh;Khalifa Al Hosani;Igor Boiko;Mohammad Luai Hammadih
Compressors operating in parallel are widely used in compressor stations on natural gas pipelines to address the required flow demands. This paper presents a design of a new control structure and a load sharing optimal adaptive controller for multiple compressors connected in parallel and equipped with variable speed drives. The load sharing optimization (LSO) controller computes the split factor to distribute the flow among the compressors which depends on the current operating conditions, with the optimization's objective being to minimize the total energy consumption. In addition, the compressor maps are continuously updated to account for any changes due to external and untraceable factors resulting in an enhancement of the LSO. The presented control structure includes a common single controller for parallel compressors, which eliminates the need for loop-decoupling. Thus, ensuring a better stability and a faster dynamics with respect to the flow or pressure process variable. The proposed control structure and the adaptive LSO performance is evaluated through simulations and a lab hardware setup. The results show an improvement of more than 4% in the total energy consumption compared to an equal load sharing scheme and more than 2.5% compared to the equal distance to surge industrial scheme. This efficiency improvement leads to significant energy cost saving over large periods of time.
{"title":"Minimum Energy Adaptive Load Sharing of Parallel Operated Compressors","authors":"Ayman Al Zawaideh;Khalifa Al Hosani;Igor Boiko;Mohammad Luai Hammadih","doi":"10.1109/OJIA.2022.3192565","DOIUrl":"https://doi.org/10.1109/OJIA.2022.3192565","url":null,"abstract":"Compressors operating in parallel are widely used in compressor stations on natural gas pipelines to address the required flow demands. This paper presents a design of a new control structure and a load sharing optimal adaptive controller for multiple compressors connected in parallel and equipped with variable speed drives. The load sharing optimization (LSO) controller computes the split factor to distribute the flow among the compressors which depends on the current operating conditions, with the optimization's objective being to minimize the total energy consumption. In addition, the compressor maps are continuously updated to account for any changes due to external and untraceable factors resulting in an enhancement of the LSO. The presented control structure includes a common single controller for parallel compressors, which eliminates the need for loop-decoupling. Thus, ensuring a better stability and a faster dynamics with respect to the flow or pressure process variable. The proposed control structure and the adaptive LSO performance is evaluated through simulations and a lab hardware setup. The results show an improvement of more than 4% in the total energy consumption compared to an equal load sharing scheme and more than 2.5% compared to the equal distance to surge industrial scheme. This efficiency improvement leads to significant energy cost saving over large periods of time.","PeriodicalId":100629,"journal":{"name":"IEEE Open Journal of Industry Applications","volume":"3 ","pages":"178-191"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/8782707/9666452/09834116.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50325622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-19DOI: 10.1109/OJIA.2022.3192313
Bikrant Poudel;Ebrahim Amiri;Parviz Rastgoufard
Cogging torque causes major operational setbacks for Permanent Magnet (PM) machine operation, particularly in applications where a quiet performance is desired. This paper presents a heuristic optimization framework to optimize the cogging torque in Surface Mounted Permanent Magnet (SPM) machines consisting of a hybrid magnetic structure (i.e., rare-earth and ferrite magnets). To avoid excessive computational time and volume associated with Finite Element (FE)-based optimization solutions, analytical approach is paired up with the optimization algorithm to determine the optimal design while FE is utilized for verification and validation purposes. First, analytical expressions are established for individual objective functions (i.e., airgap PM flux distribution, and cogging torque), and their corresponding spatial harmonics are identified using the air-gap field modulation theory. Next, the presented analytical model is utilized to optimize the system (i.e., minimize the cogging torque) to the desired target level via two different solutions (i.e., Genetic Algorithm (GA) and Particle Swarm Optimization (PSO)), and their respective performance are compared. To determine the efficacy of the presented solutions, the optimal hybrid machine response is compared against the baseline structure.
{"title":"Analytical Investigation and Heuristic Optimization of Surface Mounted Permanent Magnet Machines With Hybrid Magnetic Structure","authors":"Bikrant Poudel;Ebrahim Amiri;Parviz Rastgoufard","doi":"10.1109/OJIA.2022.3192313","DOIUrl":"https://doi.org/10.1109/OJIA.2022.3192313","url":null,"abstract":"Cogging torque causes major operational setbacks for Permanent Magnet (PM) machine operation, particularly in applications where a quiet performance is desired. This paper presents a heuristic optimization framework to optimize the cogging torque in Surface Mounted Permanent Magnet (SPM) machines consisting of a hybrid magnetic structure (i.e., rare-earth and ferrite magnets). To avoid excessive computational time and volume associated with Finite Element (FE)-based optimization solutions, analytical approach is paired up with the optimization algorithm to determine the optimal design while FE is utilized for verification and validation purposes. First, analytical expressions are established for individual objective functions (i.e., airgap PM flux distribution, and cogging torque), and their corresponding spatial harmonics are identified using the air-gap field modulation theory. Next, the presented analytical model is utilized to optimize the system (i.e., minimize the cogging torque) to the desired target level via two different solutions (i.e., Genetic Algorithm (GA) and Particle Swarm Optimization (PSO)), and their respective performance are compared. To determine the efficacy of the presented solutions, the optimal hybrid machine response is compared against the baseline structure.","PeriodicalId":100629,"journal":{"name":"IEEE Open Journal of Industry Applications","volume":"3 ","pages":"152-163"},"PeriodicalIF":0.0,"publicationDate":"2022-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/8782707/9666452/09833259.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50325632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-14DOI: 10.1109/OJIA.2022.3190905
Anant K Singh;Ramakrishnan Raja;Tomy Sebastian;Kaushik Rajashekara
Torque smoothness is an essential requirement for high-performance motor drive applications. Synchronous reluctance machines (SyRM) have high torque ripple due to non-linear magnetic circuit and saturation. Typically, in Permanent magnet machines the active torque ripple compensation is achieved by injecting a compensating ripple current in the q-axis