Pub Date : 2018-10-01DOI: 10.1109/ICA-ACCA.2018.8609790
Héctor Kaschel, V. Rocco, German Reinao
Prediction models depend on the variables or input attributes that characterize the studied phenomenon. When data collected from databases and the phenomenon to modeling is complex (e.g. patient’s health prediction), in many cases there is a need to construct representative variables according to the problem and then modeling and testing. Both processes can be automatized using algorithms to assess their fit with real data. A proposed algorithm wraps this modeling and testing process and looks for the variables constructed from knowledge, helping to fit to real data, and which could be used for any modeling problem that has both quantitative and qualitative mixed information. To test this approach, real data from ten years of diabetic patients records was used following the American Diabetes Association last recommendations to construct variables that could find high risk patients and evaluate the variables efficacy. The method could be used to improve data warehouse’s framework and for this case, to help care institutions to deploy new health politics to adjust treatments and resource management for diabetic patients.
{"title":"An Open Algorithm for Systematic Evaluation of Readmission Predictors on Diabetic Patients from Data Warehouses","authors":"Héctor Kaschel, V. Rocco, German Reinao","doi":"10.1109/ICA-ACCA.2018.8609790","DOIUrl":"https://doi.org/10.1109/ICA-ACCA.2018.8609790","url":null,"abstract":"Prediction models depend on the variables or input attributes that characterize the studied phenomenon. When data collected from databases and the phenomenon to modeling is complex (e.g. patient’s health prediction), in many cases there is a need to construct representative variables according to the problem and then modeling and testing. Both processes can be automatized using algorithms to assess their fit with real data. A proposed algorithm wraps this modeling and testing process and looks for the variables constructed from knowledge, helping to fit to real data, and which could be used for any modeling problem that has both quantitative and qualitative mixed information. To test this approach, real data from ten years of diabetic patients records was used following the American Diabetes Association last recommendations to construct variables that could find high risk patients and evaluate the variables efficacy. The method could be used to improve data warehouse’s framework and for this case, to help care institutions to deploy new health politics to adjust treatments and resource management for diabetic patients.","PeriodicalId":176587,"journal":{"name":"2018 IEEE International Conference on Automation/XXIII Congress of the Chilean Association of Automatic Control (ICA-ACCA)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114905186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/ICA-ACCA.2018.8609697
P. J. Araya-Córdova, Luis Rojo-Gonzáalez, M. Tarride, Óscar C. Vásquez
In literature, several health situation index (HSI) have been developed from different perspective. These HSI require to compute many variables and generally consider the experts opinion to provide a tangible and consensus result due to the different realities under study, e.g, the different countries associated to the Pan American Health Organization (PAHO). However, the question about its practical implementation remains open under a more real scenario where the availability of experts is not necessarily guaranteed. This work proposes a HSI for the countries associated to the PAHO with uncertain availability of experts. We consider the variables in the official yearbooks published by PAHO, during the years 2005-2017, and apply a principal component analysis (PCA) to select a representative subset of them. This information is used for the design of a survey based on Majority Judgment method, which is to be answered by experts not necessarily available. Under this scenario, the behavior of those unavailable experts is modeled by an specific artificial neural network (ANN) based on a set of historical information. The obtained results allow to compute the proposed health situation index and to obtain a health situation raking for the countries associated to the PAHO.
{"title":"Toward a health situation index with uncertain availability of experts: The case of the countries associated to the Pan American Health Organization (PAHO).","authors":"P. J. Araya-Córdova, Luis Rojo-Gonzáalez, M. Tarride, Óscar C. Vásquez","doi":"10.1109/ICA-ACCA.2018.8609697","DOIUrl":"https://doi.org/10.1109/ICA-ACCA.2018.8609697","url":null,"abstract":"In literature, several health situation index (HSI) have been developed from different perspective. These HSI require to compute many variables and generally consider the experts opinion to provide a tangible and consensus result due to the different realities under study, e.g, the different countries associated to the Pan American Health Organization (PAHO). However, the question about its practical implementation remains open under a more real scenario where the availability of experts is not necessarily guaranteed. This work proposes a HSI for the countries associated to the PAHO with uncertain availability of experts. We consider the variables in the official yearbooks published by PAHO, during the years 2005-2017, and apply a principal component analysis (PCA) to select a representative subset of them. This information is used for the design of a survey based on Majority Judgment method, which is to be answered by experts not necessarily available. Under this scenario, the behavior of those unavailable experts is modeled by an specific artificial neural network (ANN) based on a set of historical information. The obtained results allow to compute the proposed health situation index and to obtain a health situation raking for the countries associated to the PAHO.","PeriodicalId":176587,"journal":{"name":"2018 IEEE International Conference on Automation/XXIII Congress of the Chilean Association of Automatic Control (ICA-ACCA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116055028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/ICA-ACCA.2018.8609723
Patricio Cáceres, C. Restrepo, C. Baier, J. Muñoz
There are numerous studies that have proven the advantages of the coupled-inductor buck–boost dc-dc switching converter to manage the power in different hybrid system topologies. Features such as noninverting voltage step up and step down characteristic, wide-bandwidth, high efficiency, the ability to regulate the input or output currents with the facility to change current regulation loop between them in a sudden and smooth manner, among other benefits, have increased interest in this converter. However, until now it has only been reported an analog current control small-signal model that has been linearized about a quiescent operating point. In this article, model predictive control (MPC) by the coupled-inductor buck– boost input current is presented with the goal of extend its operation point domain in comparison with the small-signal based regulator. The finite control set MPC (FCS-MPC) updates at every switching cycle the state which minimizes the cost function. This function simultaneously improves the current tracking and reduces the converter power losses. The theoretical analysis have been validated by means of simulations to illustrate the advantages of the proposed predictive control.
{"title":"Finite control set model predictive current control of the Coupled-Inductor Buck–Boost DC–DC Switching Converter","authors":"Patricio Cáceres, C. Restrepo, C. Baier, J. Muñoz","doi":"10.1109/ICA-ACCA.2018.8609723","DOIUrl":"https://doi.org/10.1109/ICA-ACCA.2018.8609723","url":null,"abstract":"There are numerous studies that have proven the advantages of the coupled-inductor buck–boost dc-dc switching converter to manage the power in different hybrid system topologies. Features such as noninverting voltage step up and step down characteristic, wide-bandwidth, high efficiency, the ability to regulate the input or output currents with the facility to change current regulation loop between them in a sudden and smooth manner, among other benefits, have increased interest in this converter. However, until now it has only been reported an analog current control small-signal model that has been linearized about a quiescent operating point. In this article, model predictive control (MPC) by the coupled-inductor buck– boost input current is presented with the goal of extend its operation point domain in comparison with the small-signal based regulator. The finite control set MPC (FCS-MPC) updates at every switching cycle the state which minimizes the cost function. This function simultaneously improves the current tracking and reduces the converter power losses. The theoretical analysis have been validated by means of simulations to illustrate the advantages of the proposed predictive control.","PeriodicalId":176587,"journal":{"name":"2018 IEEE International Conference on Automation/XXIII Congress of the Chilean Association of Automatic Control (ICA-ACCA)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115078501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/ICA-ACCA.2018.8609737
Ignacio G. Bugueño-Córdov, Felipe A. Bahamonde-Munoz, César A. Azurdia-Meza
Bit error rate (BER) is an important performance measure for the evaluation of digital communications systems over a communication channel. Taking into consideration that packets transmitted through a physical medium may be affected by transmission channel noise, bit synchronization problems, attenuation, interference, wireless multipath fading, among others, is necessary to determine this measure in real conditions, in order to evaluate and improve the performance of the system. In this context, this paper presents an experimental methodology for the measurement of BER curves in the 2.4 GHz and 5.85 GHz bands, using Software Defined Radio (SDR) Universal Software Radio Peripheral (USRP) and Systems Engineering Software LabVIEW. By determining the BER in realistic conditions, is possible to improve the modeling of the communication channel, allowing to design robust pulse shapes. In this way, the development of the proposed methodology will allow to measure the performance of different modulation techniques, and thus be able to contrast the theoretical performance versus the realistic performance of traditional and new digital communications systems.
{"title":"BER Experimental Measurements in the 2.4 GHz and 5.85 GHz Bands using Software Defined Radios","authors":"Ignacio G. Bugueño-Córdov, Felipe A. Bahamonde-Munoz, César A. Azurdia-Meza","doi":"10.1109/ICA-ACCA.2018.8609737","DOIUrl":"https://doi.org/10.1109/ICA-ACCA.2018.8609737","url":null,"abstract":"Bit error rate (BER) is an important performance measure for the evaluation of digital communications systems over a communication channel. Taking into consideration that packets transmitted through a physical medium may be affected by transmission channel noise, bit synchronization problems, attenuation, interference, wireless multipath fading, among others, is necessary to determine this measure in real conditions, in order to evaluate and improve the performance of the system. In this context, this paper presents an experimental methodology for the measurement of BER curves in the 2.4 GHz and 5.85 GHz bands, using Software Defined Radio (SDR) Universal Software Radio Peripheral (USRP) and Systems Engineering Software LabVIEW. By determining the BER in realistic conditions, is possible to improve the modeling of the communication channel, allowing to design robust pulse shapes. In this way, the development of the proposed methodology will allow to measure the performance of different modulation techniques, and thus be able to contrast the theoretical performance versus the realistic performance of traditional and new digital communications systems.","PeriodicalId":176587,"journal":{"name":"2018 IEEE International Conference on Automation/XXIII Congress of the Chilean Association of Automatic Control (ICA-ACCA)","volume":"229 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123299703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/ICA-ACCA.2018.8609800
A. S. Ghersin, J. Giribet, I. Mas
Within the Cluster Space robot formation control scheme, a new approach is presented where a cascaded control scheme is proposed. On one hand, a simple secondary (inner) loop is used to control the formation’s velocity in Robot Space, while on the other hand a quasi-LPV (Linear Parameter Varying) approach is employed for the design of the main (outer) control loop where the geometry and kinematics of the problem are captured by the LPV formulation. Certain aspects of the design such as stability are tackled, and the use of parameter-dependent weighting functions is discussed through a design example tested in simulations in order to illustrate the use of the method.
{"title":"Cluster Space LPV Control of Robot Formations","authors":"A. S. Ghersin, J. Giribet, I. Mas","doi":"10.1109/ICA-ACCA.2018.8609800","DOIUrl":"https://doi.org/10.1109/ICA-ACCA.2018.8609800","url":null,"abstract":"Within the Cluster Space robot formation control scheme, a new approach is presented where a cascaded control scheme is proposed. On one hand, a simple secondary (inner) loop is used to control the formation’s velocity in Robot Space, while on the other hand a quasi-LPV (Linear Parameter Varying) approach is employed for the design of the main (outer) control loop where the geometry and kinematics of the problem are captured by the LPV formulation. Certain aspects of the design such as stability are tackled, and the use of parameter-dependent weighting functions is discussed through a design example tested in simulations in order to illustrate the use of the method.","PeriodicalId":176587,"journal":{"name":"2018 IEEE International Conference on Automation/XXIII Congress of the Chilean Association of Automatic Control (ICA-ACCA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125750958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/ICA-ACCA.2018.8609836
E. Paiva, M. Llano, J. Rodas, R. Gregor, J. Rodríguez-Piñeiro, M. Gomez-Redondo
In the last decade, the interest in the development of unmanned aerial vehicles and the implementation of different flight topologies have been justified mainly by a wide range of applications, both military and civil. The current work can be used for educational purposes and we present two approaches in this area. The first contribution focuses on the physical design of the transition system from a tri-rotor to fixed-wing flight mode, and vice versa. Therefore, this hybrid topology will have the vertical takeoff and landing (VTOL) capability as well as improved efficiency during the flight. On the other hand, the development and analysis of the mathematical model of the hybrid system is our second contribution. A linear controller is also implemented in order to experimentally validate the performance of the proposed design.
{"title":"Design and Implementation of a VTOL Flight Transition Mechanism and Development of a Mathematical Model for a Tilt Rotor UAV","authors":"E. Paiva, M. Llano, J. Rodas, R. Gregor, J. Rodríguez-Piñeiro, M. Gomez-Redondo","doi":"10.1109/ICA-ACCA.2018.8609836","DOIUrl":"https://doi.org/10.1109/ICA-ACCA.2018.8609836","url":null,"abstract":"In the last decade, the interest in the development of unmanned aerial vehicles and the implementation of different flight topologies have been justified mainly by a wide range of applications, both military and civil. The current work can be used for educational purposes and we present two approaches in this area. The first contribution focuses on the physical design of the transition system from a tri-rotor to fixed-wing flight mode, and vice versa. Therefore, this hybrid topology will have the vertical takeoff and landing (VTOL) capability as well as improved efficiency during the flight. On the other hand, the development and analysis of the mathematical model of the hybrid system is our second contribution. A linear controller is also implemented in order to experimentally validate the performance of the proposed design.","PeriodicalId":176587,"journal":{"name":"2018 IEEE International Conference on Automation/XXIII Congress of the Chilean Association of Automatic Control (ICA-ACCA)","volume":"245 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125549721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/ICA-ACCA.2018.8609804
G. Fuertes, R. Navarrete, M. Alfaro, Ginno Millán, Manuel Vargas, Carolina Lagos
The LEDs as lighting technology reaches a percentage higher than 90%. This work proposes an alternative use as communication technology. The assembly of a communications system using visible light (VLC) using a white light LED spotlight is presented. In communications, the equalizer that feeds the decisions, known as decision feedback equalizer (DFE), is used in many applications for the minimization of intersymbol interference (ISI) of the received signal. The aim is to test the artificial neural networks (ANN) for the training of a DFE equalizer, in a communication system by light source in indoor environment; seeking to minimize the Bit Error Rate (BER), in order to combat the adverse effects introduced by the channel and obtain greater transmission distances through VLC.
{"title":"Adaptive equalization using artificial neural networks for a visible light communication system","authors":"G. Fuertes, R. Navarrete, M. Alfaro, Ginno Millán, Manuel Vargas, Carolina Lagos","doi":"10.1109/ICA-ACCA.2018.8609804","DOIUrl":"https://doi.org/10.1109/ICA-ACCA.2018.8609804","url":null,"abstract":"The LEDs as lighting technology reaches a percentage higher than 90%. This work proposes an alternative use as communication technology. The assembly of a communications system using visible light (VLC) using a white light LED spotlight is presented. In communications, the equalizer that feeds the decisions, known as decision feedback equalizer (DFE), is used in many applications for the minimization of intersymbol interference (ISI) of the received signal. The aim is to test the artificial neural networks (ANN) for the training of a DFE equalizer, in a communication system by light source in indoor environment; seeking to minimize the Bit Error Rate (BER), in order to combat the adverse effects introduced by the channel and obtain greater transmission distances through VLC.","PeriodicalId":176587,"journal":{"name":"2018 IEEE International Conference on Automation/XXIII Congress of the Chilean Association of Automatic Control (ICA-ACCA)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127376257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/ICA-ACCA.2018.8609808
C. Sotomayor-Beltran, Guillermo Wenceslao Zarate Segura, A. Roman-Gonzalez
Python is a computer programming language being widely used in the developed world for a diversity of applications. Extensively used in scientific research and spanning areas like finance and biomedicine, Python is making a breakthrough in many professions. Worldwide rankings from popularity in programming languages and also our own show that Python is among the three most preferred ones around the world. A case is then presented to urgently introduce Python as a core introductory programming language in the curricula of the computer science departments in the universities of Lima, Peru, for starters. We also discuss an introductory methodology in programming with Python in order to make a better impact of what this programming language is capable of.
{"title":"Why should Python be a compulsory introductory programming course in Lima (Peru) universities?","authors":"C. Sotomayor-Beltran, Guillermo Wenceslao Zarate Segura, A. Roman-Gonzalez","doi":"10.1109/ICA-ACCA.2018.8609808","DOIUrl":"https://doi.org/10.1109/ICA-ACCA.2018.8609808","url":null,"abstract":"Python is a computer programming language being widely used in the developed world for a diversity of applications. Extensively used in scientific research and spanning areas like finance and biomedicine, Python is making a breakthrough in many professions. Worldwide rankings from popularity in programming languages and also our own show that Python is among the three most preferred ones around the world. A case is then presented to urgently introduce Python as a core introductory programming language in the curricula of the computer science departments in the universities of Lima, Peru, for starters. We also discuss an introductory methodology in programming with Python in order to make a better impact of what this programming language is capable of.","PeriodicalId":176587,"journal":{"name":"2018 IEEE International Conference on Automation/XXIII Congress of the Chilean Association of Automatic Control (ICA-ACCA)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127508437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/ICA-ACCA.2018.8609861
F. Fuentes-Peailillo, S. Ortega-Farías, M. Rivera, M. Bardeen, M. Moreno
This manuscript presents a comparison of Normalized Difference Vegetation Index (NDVI) obtained with multispectral cameras versus four indices obtained from RGB sensors for the identification of soil and vegetation in images captured with an unmanned aerial vehicle. This comparison was made using the NDVI as ground truth, obtaining 2 classes of data that would be compared later to the other indexes by counting the pixels corresponding to each class. In the case of the RGB indices, the average was defined as the center of the data and as the cut-off point of both classes. The results of this investigation indicated that it is possible to identify the same spatial patterns using RGB indices, where the TGI index shows the best behavior. However, despite the fact that the pixel count showed similar results, the visual inspection of the results indicated that the RGB indices presented errors when identifying the vegetation, especially in the zone of the row. This indicates that to delimit with precision the areas corresponding to vegetation and soil it is necessary to use more complex clustering techniques.
{"title":"Comparison of vegetation indices acquired from RGB and Multispectral sensors placed on UAV","authors":"F. Fuentes-Peailillo, S. Ortega-Farías, M. Rivera, M. Bardeen, M. Moreno","doi":"10.1109/ICA-ACCA.2018.8609861","DOIUrl":"https://doi.org/10.1109/ICA-ACCA.2018.8609861","url":null,"abstract":"This manuscript presents a comparison of Normalized Difference Vegetation Index (NDVI) obtained with multispectral cameras versus four indices obtained from RGB sensors for the identification of soil and vegetation in images captured with an unmanned aerial vehicle. This comparison was made using the NDVI as ground truth, obtaining 2 classes of data that would be compared later to the other indexes by counting the pixels corresponding to each class. In the case of the RGB indices, the average was defined as the center of the data and as the cut-off point of both classes. The results of this investigation indicated that it is possible to identify the same spatial patterns using RGB indices, where the TGI index shows the best behavior. However, despite the fact that the pixel count showed similar results, the visual inspection of the results indicated that the RGB indices presented errors when identifying the vegetation, especially in the zone of the row. This indicates that to delimit with precision the areas corresponding to vegetation and soil it is necessary to use more complex clustering techniques.","PeriodicalId":176587,"journal":{"name":"2018 IEEE International Conference on Automation/XXIII Congress of the Chilean Association of Automatic Control (ICA-ACCA)","volume":"305 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128089698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/ICA-ACCA.2018.8609752
D. Soto-Sanchez, M. Martínez-Gómez, I. Andrade, R. Peña
The Modular Multilevel Converter (MMC) is the choice topology for integration of renewable energy power plants into the grid, through submarine HVDC cables and HVDC lines. Notwithstanding, the MMC requires significant large DC storage capacitors to mitigate for the large power pulsations that result from the single-phase AC to DC conversion process in their arms. The Alternate Arm Converter (AAC), which combines MMC arms with conventional valves (Director Switch), has the potential to cut the number of modules to half of that of the conventional MMC. Further, it is capable of blocking DC faults, an appealing feature for future DC networks. However, the AAC incurs higher power losses than conventional MMC. This work proposes the use of thyristors, instead of IGBTs, to implement the DSs of the AAC. This reduces conduction losses in DSs by approximately a half and makes the AAC more comparable to the conventional MMC, in terms of power losses, but with the advantage of reduced DC energy storage requirements. The principle of operation of the AAC, considering thyristor based DSs, is revisited here and a suitable control strategy to demonstrate its basic operation is developed. Proposals are verified through simulation studies using a switching converter model. Results confirm feasibility of proposed thyristor based DS and good performance of the proposed AAC.
{"title":"Alternate Arm Converter with Thyristor-based Director Switches","authors":"D. Soto-Sanchez, M. Martínez-Gómez, I. Andrade, R. Peña","doi":"10.1109/ICA-ACCA.2018.8609752","DOIUrl":"https://doi.org/10.1109/ICA-ACCA.2018.8609752","url":null,"abstract":"The Modular Multilevel Converter (MMC) is the choice topology for integration of renewable energy power plants into the grid, through submarine HVDC cables and HVDC lines. Notwithstanding, the MMC requires significant large DC storage capacitors to mitigate for the large power pulsations that result from the single-phase AC to DC conversion process in their arms. The Alternate Arm Converter (AAC), which combines MMC arms with conventional valves (Director Switch), has the potential to cut the number of modules to half of that of the conventional MMC. Further, it is capable of blocking DC faults, an appealing feature for future DC networks. However, the AAC incurs higher power losses than conventional MMC. This work proposes the use of thyristors, instead of IGBTs, to implement the DSs of the AAC. This reduces conduction losses in DSs by approximately a half and makes the AAC more comparable to the conventional MMC, in terms of power losses, but with the advantage of reduced DC energy storage requirements. The principle of operation of the AAC, considering thyristor based DSs, is revisited here and a suitable control strategy to demonstrate its basic operation is developed. Proposals are verified through simulation studies using a switching converter model. Results confirm feasibility of proposed thyristor based DS and good performance of the proposed AAC.","PeriodicalId":176587,"journal":{"name":"2018 IEEE International Conference on Automation/XXIII Congress of the Chilean Association of Automatic Control (ICA-ACCA)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127013523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}