cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/3ejv-ab28
title: 1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In this paper and dataset, speed and the position estimation of BLDC is done using the sensorless vector control method i.e., Field Oriented control (FOC) and observer. The implementation method is the known method of vector control, with the addition of SMO or flux observer gives the estimation of speed and the sensorless rotor position. The switching pattern of the 3-phase inverter is implemented using space vector modulation.DIfferences in this paper dataset can be seen as the author has included following , with analysis which can be drawn from seeing attached graphs -performance comparison using Sliding Mode Observer (SMO) and flux observerPWM switching frequency is varied 45 times from 20 kHz to 2 MHz , - will help decide MOSFETs switching frequency. (as in industries even 20kHz is used)Stability MarginsOpen Loop Control PerformanceTransfer Function CompensationClosed loop TuningRoot Locus of Uncompensated System and Compensated SystemBode Plot - magnitude and phasePole Zero Map of Uncompensated System and Compensated SystemUnit-Step Response of Uncompensated System and Compensated SystemNyquist plot of Uncompensated System and Compensated SystemNichols chart of Uncompensated System and Compensated SystemImpulse Response of Uncompensated System and Compensated SystemSinusoidal ExcitationCompensated System is after using SMO/Flux observer.All this is implemented on 32-bit Real-Time microcontroller. The pins usage not mentioned here are used for other General-Purpose-CAN,USB, RS485 etc.PFC is not included in this simulation as it is assumed that PF = 1.These brushless motors and controllers are used in many industries including medical e.g. in Positive Airway Pressure respirators,ventilator.This study comes in handy to decide when designing in practice for industries and also for academia purposes. The author has used these results in designing new 2-3 different complex models(incomplete), may be uploaded later.There is related dataset, where also 8-pole Y winding motor is used but of different specification - "200W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/v7s8-pk56
DOI: 10.5281/zenodo.4295864
title: Antarctic endolithic bacterial metagenome-assembled genomes

description: Bacterial assembled genomes and annotation data from the Antarctic cryptoendolithic communities collected during the XXXI (2015-16) Italian Antarctic Expedition. The dataset consists of 4 zip archives and 3 files (comma-separated values). Here is a brief summary of their contents: <strong>MAGs: </strong>high quality (HQ) and medium quality (MQ) bacterial metagenome assembled genomes. <strong>MAGs_metadata: </strong>completeness, contamination, length, N50, GTDB classification for each MAG. <strong>MAGs_HQ_CDS:</strong> translated coding sequences for each high quality MAG. <strong>MAGs_HQ_Annotation: </strong>EggNOG annotation files. For each high quality MAG, the following files are included: eggnog.emapper.annotations: the final EggNOG annotation; eggnog.emapper.hmm_hits: list of significant hits to eggNOG Orthologous Groups eggnog.emapper.seed_orthologs: best match of each query within the best Orthologous Group (OG) reported in the eggnog.emapper.hmm_hits file<strong>.</strong> <strong>Jiangella_Antarctica: </strong><em>Candidatus Jiangella antarctica</em> representative genome (UniValnordMG_2_bin.36.fa) and the extracted ribosomal RNA genes (rRNA.fasta). <strong>Order_MSA: </strong>protein multiple sequence alignments using the 120 GTDB bacterial marker genes. These alignments were used to estimate divergence times on orders containing at least 4 CBS, for a total of 19 orders. <strong>Samples_accession</strong>: table that relates to the NCBI deposition of the shotgun metagenomes, the following info are included: NCBI Sequence Read Archive (SRA) BioProject accession numbers JGI Integrated Microbial Genomes & Microbiomes site IDs N50 values Metadata <strong>Samples_metadata: </strong>geographic coordinates, temperature, relative humidity and sampling date are reported.
DOI: 10.5281/zenodo.3671352
title: Antarctic endolithic bacterial metagenome-assembled genomes

description: Bacterial assembled genomes and annotation data from the Antarctic cryptoendolithic communities collected during the XXXI (2015-16) Italian Antarctic Expedition. The dataset consists of 4 zip archives and 3 files (comma-separated values). Here is a brief summary of their contents: <strong>MAGs: </strong>high quality (HQ) and medium quality (MQ) bacterial metagenome assembled genomes. <strong>MAGs_metadata: </strong>completeness, contamination, length, N50, GTDB classification for each MAG. <strong>MAGs_HQ_CDS:</strong> translated coding sequences for each high quality MAG. <strong>MAGs_HQ_Annotation: </strong>EggNOG annotation files. For each high quality MAG, the following files are included: eggnog.emapper.annotations: the final EggNOG annotation; eggnog.emapper.hmm_hits: list of significant hits to eggNOG Orthologous Groups eggnog.emapper.seed_orthologs: best match of each query within the best Orthologous Group (OG) reported in the eggnog.emapper.hmm_hits file<strong>.</strong> <strong>Jiangella_Antarctica: </strong><em>Candidatus Jiangella antarctica</em> representative genome (UniValnordMG_2_bin.36.fa) and the extracted ribosomal RNA genes (rRNA.fasta). <strong>Order_MSA: </strong>protein multiple sequence alignments using the 120 GTDB bacterial marker genes. These alignments were used to estimate divergence times on orders containing at least 4 CBS, for a total of 19 orders. <strong>Samples_accession</strong>: table that relates to the NCBI deposition of the shotgun metagenomes, the following info are included: NCBI Sequence Read Archive (SRA) BioProject accession numbers JGI Integrated Microbial Genomes & Microbiomes site IDs N50 values Metadata <strong>Samples_metadata: </strong>geographic coordinates, temperature, relative humidity and sampling date are reported.
DOI: 10.21227/fj5n-br66
title: 1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In this paper and dataset, speed and the position estimation of BLDC is done using the sensorless vector control method i.e., Field Oriented control (FOC) and observer. The implementation method is the known method of vector control, with the addition of SMO or flux observer which gives the estimation of speed and the sensorless rotor position. The switching pattern of the 3-phase inverter is implemented using space vector modulation.DIfferences in this paper dataset can be seen as the author has included following , with analysis which can be drawn from seeing attached graphs -performance comparison using Sliding Mode Observer (SMO) and flux observerPWM switching frequency is varied 45 times from 20 kHz to 2 MHz , - will help decide MOSFETs switching frequency. (as in industries even 20kHz is used)Stability MarginsOpen Loop Control PerformanceTransfer Function CompensationClosed loop TuningRoot Locus of Uncompensated System and Compensated SystemBode Plot - magnitude and phasePole Zero Map of Uncompensated System and Compensated SystemUnit-Step Response of Uncompensated System and Compensated SystemNyquist plot of Uncompensated System and Compensated SystemNichols chart of Uncompensated System and Compensated SystemImpulse Response of Uncompensated System and Compensated SystemSinusoidal ExcitationCompensated System is after using SMO/Flux observer.All this is implemented on 32-bit Real-Time microcontroller. The pins usage not mentioned here are used for other General-Purpose-CAN,USB, RS485 etc.PFC is not included in this simulation as it is assumed that PF = 1.These brushless motors and controllers are used in many industries including medical e.g. in Positive Airway Pressure respirators,ventilator.This study comes in handy to decide when designing in practice for industries and also for academia purposes. The author has used these results in designing new 2-3 different complex models(incomplete), may be uploaded later.There is related dataset, where also 8-pole Y winding motor is used but of different specification - "200W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/v7s8-pk56
DOI: 10.21227/nyha-qy79
title: 200W BLDC Sensorless FOC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In the dataset "1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer", DOI: https://dx.doi.org/yrb7-hp33 , BLDC motor is 8-pole, Star winding with rated rpm of 3 000 rpm at rated power of 1.88 kW.In this dataset, the same methodology is used but the BLDC motor is 8-pole ,Star winding with rated rpm of 14 400 rpm at rated power of 211 W.In this paper and dataset, speed and the position estimation of BLDC is done using the sensorless vector control method i.e., Field Oriented control (FOC) and observer. The implementation method is the known method of vector control, with the addition of SMO or flux observer which gives the estimation of speed and the sensorless rotor position. The switching pattern of the 3-phase inverter is implemented using space vector modulation.DIfferences in this paper dataset can be seen as the author has included following , with analysis which can be drawn from seeing attached graphs -performance comparison using Sliding Mode Observer (SMO) and flux observerPWM switching frequency is varied 45 times from 20 kHz to 2 MHz , - will help decide MOSFETs switching frequency. (as in industries even 20kHz is used)Stability MarginsOpen Loop Control PerformanceTransfer Function CompensationClosed loop TuningRoot Locus of Uncompensated System and Compensated SystemBode Plot - magnitude and phasePole Zero Map of Uncompensated System and Compensated SystemUnit-Step Response of Uncompensated System and Compensated SystemNyquist plot of Uncompensated System and Compensated SystemNichols chart of Uncompensated System and Compensated SystemImpulse Response of Uncompensated System and Compensated SystemSinusoidal ExcitationCompensated System is after using SMO/Flux observer.All this is implemented on 32-bit Real-Time microcontroller. The pins usage not mentioned here are used for other General-Purpose-CAN,USB, RS485 etc.PFC is not included in this simulation as it is assumed that PF = 1.These brushless motors and controllers are used in many industries including medical e.g. in Positive Airway Pressure respirators,ventilator.This study comes in handy to decide when designing in practice for industries and also for academia purposes. The author has used these results in designing new 2-3 different complex models(incomplete), may be uploaded later.
DOI: 10.21227/02d4-7026
title: 1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In this paper and dataset, speed and the position estimation of BLDC is done using the sensorless vector control method i.e., Field Oriented control (FOC) and observer. The implementation method is the known method of vector control, with the addition of SMO or flux observer which gives the estimation of speed and the sensorless rotor position. The switching pattern of the 3-phase inverter is implemented using space vector modulation.DIfferences in this paper dataset can be seen as the author has included following , with analysis which can be drawn from seeing attached graphs -performance comparison using Sliding Mode Observer (SMO) and flux observerPWM switching frequency is varied 45 times from 20 kHz to 2 MHz , - will help decide MOSFETs switching frequency. (as in industries even 20kHz is used)Stability MarginsOpen Loop Control PerformanceTransfer Function CompensationClosed loop TuningRoot Locus of Uncompensated System and Compensated SystemBode Plot - magnitude and phasePole Zero Map of Uncompensated System and Compensated SystemUnit-Step Response of Uncompensated System and Compensated SystemNyquist plot of Uncompensated System and Compensated SystemNichols chart of Uncompensated System and Compensated SystemImpulse Response of Uncompensated System and Compensated SystemSinusoidal ExcitationCompensated System is after using SMO/Flux observer.All this is implemented on 32-bit Real-Time microcontroller. The pins usage not mentioned here are used for other General-Purpose-CAN,USB, RS485 etc.PFC is not included in this simulation as it is assumed that PF = 1.These brushless motors and controllers are used in many industries including medical e.g. in Positive Airway Pressure respirators,ventilator.This study comes in handy to decide when designing in practice for industries and also for academia purposes. The author has used these results in designing new 2-3 different complex models(incomplete), may be uploaded later.There is related dataset, where also 8-pole Y winding motor is used but of different specification - "200W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/v7s8-pk56
DOI: 10.25646/7699
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.21227/t2bt-b491
title: 200W BLDC Sensorless FOC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In the dataset "1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer", DOI: https://dx.doi.org/yrb7-hp33 , BLDC motor is 8-pole, Star winding with rated rpm of 3 000 rpm at rated power of 1.88 kW.In this dataset, the same methodology is used but the BLDC motor is 8-pole ,Star winding with rated rpm of 14 400 rpm at rated power of 211 W.In this paper and dataset, speed and the position estimation of BLDC is done using the sensorless vector control method i.e., Field Oriented control (FOC) and observer. The implementation method is the known method of vector control, with the addition of SMO or flux observer which gives the estimation of speed and the sensorless rotor position. The switching pattern of the 3-phase inverter is implemented using space vector modulation.DIfferences in this paper dataset can be seen as the author has included following , with analysis which can be drawn from seeing attached graphs -performance comparison using Sliding Mode Observer (SMO) and flux observerPWM switching frequency is varied 45 times from 20 kHz to 2 MHz , - will help decide MOSFETs switching frequency. (as in industries even 20kHz is used)Stability MarginsOpen Loop Control PerformanceTransfer Function CompensationClosed loop TuningRoot Locus of Uncompensated System and Compensated SystemBode Plot - magnitude and phasePole Zero Map of Uncompensated System and Compensated SystemUnit-Step Response of Uncompensated System and Compensated SystemNyquist plot of Uncompensated System and Compensated SystemNichols chart of Uncompensated System and Compensated SystemImpulse Response of Uncompensated System and Compensated SystemSinusoidal ExcitationCompensated System is after using SMO/Flux observer.All this is implemented on 32-bit Real-Time microcontroller. The pins usage not mentioned here are used for other General-Purpose-CAN,USB, RS485 etc.PFC is not included in this simulation as it is assumed that PF = 1.These brushless motors and controllers are used in many industries including medical e.g. in Positive Airway Pressure respirators,ventilator.This study comes in handy to decide when designing in practice for industries and also for academia purposes. The author has used these results in designing new 2-3 different complex models(incomplete), may be uploaded later.
DOI: 10.21227/wc35-ks25
title: 200W BLDC Sensorless FOC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In the dataset "1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer", DOI: https://dx.doi.org/yrb7-hp33 , BLDC motor is 8-pole, Star winding with rated rpm of 3 000 rpm at rated power of 1.88 kW.In this dataset, the same methodology is used but the BLDC motor is 8-pole ,Star winding with rated rpm of 14 400 rpm at rated power of 211 W.In this paper and dataset, speed and the position estimation of BLDC is done using the sensorless vector control method i.e., Field Oriented control (FOC) and observer. The implementation method is the known method of vector control, with the addition of SMO or flux observer which gives the estimation of speed and the sensorless rotor position. The switching pattern of the 3-phase inverter is implemented using space vector modulation.DIfferences in this paper dataset can be seen as the author has included following , with analysis which can be drawn from seeing attached graphs -performance comparison using Sliding Mode Observer (SMO) and flux observerPWM switching frequency is varied 45 times from 20 kHz to 2 MHz , - will help decide MOSFETs switching frequency. (as in industries even 20kHz is used)Stability MarginsOpen Loop Control PerformanceTransfer Function CompensationClosed loop TuningRoot Locus of Uncompensated System and Compensated SystemBode Plot - magnitude and phasePole Zero Map of Uncompensated System and Compensated SystemUnit-Step Response of Uncompensated System and Compensated SystemNyquist plot of Uncompensated System and Compensated SystemNichols chart of Uncompensated System and Compensated SystemImpulse Response of Uncompensated System and Compensated SystemSinusoidal ExcitationCompensated System is after using SMO/Flux observer.All this is implemented on 32-bit Real-Time microcontroller. The pins usage not mentioned here are used for other General-Purpose-CAN,USB, RS485 etc.PFC is not included in this simulation as it is assumed that PF = 1.These brushless motors and controllers are used in many industries including medical e.g. in Positive Airway Pressure respirators,ventilator.This study comes in handy to decide when designing in practice for industries and also for academia purposes. The author has used these results in designing new 2-3 different complex models(incomplete), may be uploaded later.
DOI: 10.21227/agkw-2436
title: 1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In this paper and dataset, speed and the position estimation of BLDC is done using the sensorless vector control method i.e., Field Oriented control (FOC) and observer. The implementation method is the known method of vector control, with the addition of SMO or flux observer which gives the estimation of speed and the sensorless rotor position. The switching pattern of the 3-phase inverter is implemented using space vector modulation.DIfferences in this paper dataset can be seen as the author has included following , with analysis which can be drawn from seeing attached graphs -performance comparison using Sliding Mode Observer (SMO) and flux observerPWM switching frequency is varied 45 times from 20 kHz to 2 MHz , - will help decide MOSFETs switching frequency. (as in industries even 20kHz is used)Stability MarginsOpen Loop Control PerformanceTransfer Function CompensationClosed loop TuningRoot Locus of Uncompensated System and Compensated SystemBode Plot - magnitude and phasePole Zero Map of Uncompensated System and Compensated SystemUnit-Step Response of Uncompensated System and Compensated SystemNyquist plot of Uncompensated System and Compensated SystemNichols chart of Uncompensated System and Compensated SystemImpulse Response of Uncompensated System and Compensated SystemSinusoidal ExcitationCompensated System is after using SMO/Flux observer.All this is implemented on 32-bit Real-Time microcontroller. The pins usage not mentioned here are used for other General-Purpose-CAN,USB, RS485 etc.PFC is not included in this simulation as it is assumed that PF = 1.These brushless motors and controllers are used in many industries including medical e.g. in Positive Airway Pressure respirators,ventilator.This study comes in handy to decide when designing in practice for industries and also for academia purposes. The author has used these results in designing new 2-3 different complex models(incomplete), may be uploaded later.There is related dataset, where also 8-pole Y winding motor is used but of different specification - "200W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/v7s8-pk56
DOI: 10.21227/1yx3-je38
title: 1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In this paper and dataset, speed and the position estimation of BLDC is done using the sensorless vector control method i.e., Field Oriented control (FOC) and observer. The implementation method is the known method of vector control, with the addition of SMO or flux observer which gives the estimation of speed and the sensorless rotor position. The switching pattern of the 3-phase inverter is implemented using space vector modulation.DIfferences in this paper dataset can be seen as the author has included following , with analysis which can be drawn from seeing attached graphs -performance comparison using Sliding Mode Observer (SMO) and flux observerPWM switching frequency is varied 45 times from 20 kHz to 2 MHz , - will help decide MOSFETs switching frequency. (as in industries even 20kHz is used)Stability MarginsOpen Loop Control PerformanceTransfer Function CompensationClosed loop TuningRoot Locus of Uncompensated System and Compensated SystemBode Plot - magnitude and phasePole Zero Map of Uncompensated System and Compensated SystemUnit-Step Response of Uncompensated System and Compensated SystemNyquist plot of Uncompensated System and Compensated SystemNichols chart of Uncompensated System and Compensated SystemImpulse Response of Uncompensated System and Compensated SystemSinusoidal ExcitationCompensated System is after using SMO/Flux observer.All this is implemented on 32-bit Real-Time microcontroller. The pins usage not mentioned here are used for other General-Purpose-CAN,USB, RS485 etc.PFC is not included in this simulation as it is assumed that PF = 1.These brushless motors and controllers are used in many industries including medical e.g. in Positive Airway Pressure respirators,ventilator.This study comes in handy to decide when designing in practice for industries and also for academia purposes. The author has used these results in designing new 2-3 different complex models(incomplete), may be uploaded later.There is related dataset, where also 8-pole Y winding motor is used but of different specification - "200W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/v7s8-pk56