Pub Date : 2014-12-08DOI: 10.1109/ICEEE.2014.6978319
G. Vega-Martínez, C. Toledo-Peral, C. Alvarado-Serrano, L. Leija, Octavio Gamaliel Aztati-Aguilar, A. Vizcaya-Ruiz
This paper comprises the analysis of rats electrocardiogram (EKG) recorded within a toxicology study. Acquired signals are processed to assess changes in heart response to air pollution in Mexico City, by means of Heart Rate Variability (HRV) using the SDNN index. EKG records were acquired along 8 days from 12 rats, divided into control group, supplied with filtered air (FA), and exposed group, who was provided a concentration of fine particles (FP) in the polluted air of Mexico City. After 8 recordings, FP group showed a significant decrease (p=0.028) in SDNN index values, while FA group showed no significant change (p=0.752) in SDNN index values.
{"title":"SDNN index of heart rate variability as an indicator of change in rats exposed to fine particles: Study of the impact of air pollution in Mexico City","authors":"G. Vega-Martínez, C. Toledo-Peral, C. Alvarado-Serrano, L. Leija, Octavio Gamaliel Aztati-Aguilar, A. Vizcaya-Ruiz","doi":"10.1109/ICEEE.2014.6978319","DOIUrl":"https://doi.org/10.1109/ICEEE.2014.6978319","url":null,"abstract":"This paper comprises the analysis of rats electrocardiogram (EKG) recorded within a toxicology study. Acquired signals are processed to assess changes in heart response to air pollution in Mexico City, by means of Heart Rate Variability (HRV) using the SDNN index. EKG records were acquired along 8 days from 12 rats, divided into control group, supplied with filtered air (FA), and exposed group, who was provided a concentration of fine particles (FP) in the polluted air of Mexico City. After 8 recordings, FP group showed a significant decrease (p=0.028) in SDNN index values, while FA group showed no significant change (p=0.752) in SDNN index values.","PeriodicalId":6661,"journal":{"name":"2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","volume":"316 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2014-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75300852","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 : 2014-12-08DOI: 10.1109/ICEEE.2014.6978313
Guillermo Barrera-Granados, José Rodríguez, A. Viveros
Expert Systems are tools used when it is required to take decisions, since they have artificial intelligence and human-like reasoning capacity, they need expertise and knowledge of human experts in the area where it will be used; they serve as support to the human experts to monitor and manage systems of various kinds. An Expert System that is used as an auxiliary tool in large systems or with lots of events, needs to be able to scale as the supervised system grows. This paper presents a Middleware architecture that allows to add to an Expert System the following capabilities: scalability, high availability and fault tolerance. The Middleware is designed to distribute the services of the system among multiple instances, ensuring that there is always an instance that can replace any other failed. In this way, an Expert System could have some features of the distributed systems. The Middleware encapsulates the communication mechanisms of the distributed system and saves the user from having to deal with this layer. In this proposal the Middleware is composed of TAO, which is an implementation of the CORBA specification for distributed systems, also incorporates the Boost library to enable a concurrent work on each of the modules of the system and uses an interface type REST to establish communication with the user.
{"title":"Middleware architecture for control an heterogeneous expert system","authors":"Guillermo Barrera-Granados, José Rodríguez, A. Viveros","doi":"10.1109/ICEEE.2014.6978313","DOIUrl":"https://doi.org/10.1109/ICEEE.2014.6978313","url":null,"abstract":"Expert Systems are tools used when it is required to take decisions, since they have artificial intelligence and human-like reasoning capacity, they need expertise and knowledge of human experts in the area where it will be used; they serve as support to the human experts to monitor and manage systems of various kinds. An Expert System that is used as an auxiliary tool in large systems or with lots of events, needs to be able to scale as the supervised system grows. This paper presents a Middleware architecture that allows to add to an Expert System the following capabilities: scalability, high availability and fault tolerance. The Middleware is designed to distribute the services of the system among multiple instances, ensuring that there is always an instance that can replace any other failed. In this way, an Expert System could have some features of the distributed systems. The Middleware encapsulates the communication mechanisms of the distributed system and saves the user from having to deal with this layer. In this proposal the Middleware is composed of TAO, which is an implementation of the CORBA specification for distributed systems, also incorporates the Boost library to enable a concurrent work on each of the modules of the system and uses an interface type REST to establish communication with the user.","PeriodicalId":6661,"journal":{"name":"2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","volume":"108 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2014-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76131979","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 : 2014-12-08DOI: 10.1109/ICEEE.2014.6978253
V. Kontorovich, C. B. Rodríguez-Estrello
An experimental study related to the derivative-free Kalman filtering scheme for chaotic signals is presented in this paper. Some previously published papers had proposed some effective quasioptimum nonlinear filtering algorithms for chaotic signals. However, digital implementation of these approaches has certain limitations such as loose of stability, cumulative errors, high computational complexity, etc. In order to avoid these shortcomings, in this paper we propose a new robust and rather efficient alternative approach for the nonlinear filtering based on differential flatness property of some chaotic non-linear dynamic systems. Moreover, experimental results presented in this paper allow comparing non-linear filtering algorithms for chaos with derivative-free technique under different scenarios.
{"title":"Experimental study of the derivative-free Kalman filtering for chaos","authors":"V. Kontorovich, C. B. Rodríguez-Estrello","doi":"10.1109/ICEEE.2014.6978253","DOIUrl":"https://doi.org/10.1109/ICEEE.2014.6978253","url":null,"abstract":"An experimental study related to the derivative-free Kalman filtering scheme for chaotic signals is presented in this paper. Some previously published papers had proposed some effective quasioptimum nonlinear filtering algorithms for chaotic signals. However, digital implementation of these approaches has certain limitations such as loose of stability, cumulative errors, high computational complexity, etc. In order to avoid these shortcomings, in this paper we propose a new robust and rather efficient alternative approach for the nonlinear filtering based on differential flatness property of some chaotic non-linear dynamic systems. Moreover, experimental results presented in this paper allow comparing non-linear filtering algorithms for chaos with derivative-free technique under different scenarios.","PeriodicalId":6661,"journal":{"name":"2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","volume":"66 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2014-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82192008","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 : 2014-12-08DOI: 10.1109/ICEEE.2014.6978250
C. Davila-Saldivar, A. Medina-Vázquez, Abimael Jiménez-Pérez, M. A. Gurrola-Navarro
The extraction of the floating gate voltage on the Multiple-Input Floating-Gate Transistor is discussed in order to understand their behavior in a better way. The lack of linearity at very low voltage is discussed. The presence of a residual charge on the floating gate is experimentally shown despite the use of metal contact to discharge it. This analysis is useful to enhance the mathematical model and consequently to have better results in the simulation process especially when this device is used as an entirely analog processing element. Methods to extract and plot the floating gate voltage are addressed. A comparison between analytical and experimental results is shown.
{"title":"Extracting the floating gate voltage on the multiple-input FGMOS transistor","authors":"C. Davila-Saldivar, A. Medina-Vázquez, Abimael Jiménez-Pérez, M. A. Gurrola-Navarro","doi":"10.1109/ICEEE.2014.6978250","DOIUrl":"https://doi.org/10.1109/ICEEE.2014.6978250","url":null,"abstract":"The extraction of the floating gate voltage on the Multiple-Input Floating-Gate Transistor is discussed in order to understand their behavior in a better way. The lack of linearity at very low voltage is discussed. The presence of a residual charge on the floating gate is experimentally shown despite the use of metal contact to discharge it. This analysis is useful to enhance the mathematical model and consequently to have better results in the simulation process especially when this device is used as an entirely analog processing element. Methods to extract and plot the floating gate voltage are addressed. A comparison between analytical and experimental results is shown.","PeriodicalId":6661,"journal":{"name":"2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","volume":"49 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2014-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90613583","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 : 2014-12-08DOI: 10.1109/ICEEE.2014.6978315
P. Reyes-Figueroa, S. Velumani, T. Painchaud, L. Arzel, N. Barreau
The present work deals with the air-annealing effects on In2Se3 precursor layers and the related CISe based heterojunction solar cell devices. CISe films were grown based on a modified 3-stage co-evaporation process that enabled the oxidation of In2Se3 precursor layer at the end of the first stage. To study the role of grain boundaries on oxidation, precursor layers were prepared at high and low temperatures. In2Se3 precursor thin film grown at high temperature shows a gamma-phase with (110) preferential orientation and grain size of 0.5-1 micrometer. Precursor layer prepared at low temperature showed amorphous structure with grains size around 300 nm. CISe films prepared with both precursor layers (high and low temperature) exhibit chalcopyrite structure with a (112) preferential orientation. Comparison between samples prepared with and without air-annealing do not exhibit clear morphological or structural changes. The effect of oxidation process on electrical properties of the solar cells was studied with current-voltage and external quantum efficiency measurements. These results showed that, as compared to devices with non-oxidized CISe, the device with 1h-oxidized CISe film exhibit a decrement in open circuit voltage of ~65mV. This could be related to passivation of interface states on the CdS/CISe interface. Comparing oxidized-CISe cells with different grain boundary density, more degradation of electrical parameters were observed on samples with high number of grain boundaries. Our result show that oxygen introduction to CISe films through the air-annealing of In2Se3 precursors is detrimental to the CISe based solar cell performance.
{"title":"Oxidation of In2Se3 precursor films and its effects on preparation of CuInSe2 based thin film solar cells","authors":"P. Reyes-Figueroa, S. Velumani, T. Painchaud, L. Arzel, N. Barreau","doi":"10.1109/ICEEE.2014.6978315","DOIUrl":"https://doi.org/10.1109/ICEEE.2014.6978315","url":null,"abstract":"The present work deals with the air-annealing effects on In2Se3 precursor layers and the related CISe based heterojunction solar cell devices. CISe films were grown based on a modified 3-stage co-evaporation process that enabled the oxidation of In2Se3 precursor layer at the end of the first stage. To study the role of grain boundaries on oxidation, precursor layers were prepared at high and low temperatures. In2Se3 precursor thin film grown at high temperature shows a gamma-phase with (110) preferential orientation and grain size of 0.5-1 micrometer. Precursor layer prepared at low temperature showed amorphous structure with grains size around 300 nm. CISe films prepared with both precursor layers (high and low temperature) exhibit chalcopyrite structure with a (112) preferential orientation. Comparison between samples prepared with and without air-annealing do not exhibit clear morphological or structural changes. The effect of oxidation process on electrical properties of the solar cells was studied with current-voltage and external quantum efficiency measurements. These results showed that, as compared to devices with non-oxidized CISe, the device with 1h-oxidized CISe film exhibit a decrement in open circuit voltage of ~65mV. This could be related to passivation of interface states on the CdS/CISe interface. Comparing oxidized-CISe cells with different grain boundary density, more degradation of electrical parameters were observed on samples with high number of grain boundaries. Our result show that oxygen introduction to CISe films through the air-annealing of In2Se3 precursors is detrimental to the CISe based solar cell performance.","PeriodicalId":6661,"journal":{"name":"2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","volume":"4 ","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2014-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91550491","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 : 2014-12-08DOI: 10.1109/ICEEE.2014.6978329
E. Contreras, A. Cerdeira, O. García-Serrano
This work present an implementation of the Harmonic distortion analysis in Verilog-A using the Integral Function Method in order to use it for the determination of the harmonic distortion in analog circuits using DC analysis.
{"title":"Harmonic distortion analysis implementation for the determination of distortion in analog circuits","authors":"E. Contreras, A. Cerdeira, O. García-Serrano","doi":"10.1109/ICEEE.2014.6978329","DOIUrl":"https://doi.org/10.1109/ICEEE.2014.6978329","url":null,"abstract":"This work present an implementation of the Harmonic distortion analysis in Verilog-A using the Integral Function Method in order to use it for the determination of the harmonic distortion in analog circuits using DC analysis.","PeriodicalId":6661,"journal":{"name":"2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","volume":"56 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2014-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81165756","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 : 2014-12-08DOI: 10.1109/ICEEE.2014.6978289
F. Gómez-Castañeda, Gerardo Marcos Tornez-Xavier, L. M. Flores-Nava, O. Arellano-Cárdenas, J. Moreno-Cadenas
In this manuscript we present the implementation in FPGA of ANFIS system (Adaptive Network-based Fuzzy Inference Systems) for a two-input architecture with three membership functions per input and nine fuzzy rules, used to set up a photovoltaic panel emulator. The starting point is the photovoltaic panel electric analog model simulated with ELDO, a tool of Mentor Graphics Suite, having as inputs irradiation and temperature from a meteorological data base so we can obtain the short-circuit current (Isc) and open circuit voltage (Voc) of the panel. With this information, ANFIS was trained within Matlab environment to approximate the photovoltaic panel response. The training was carried out for both, current and voltage, independently, and once achieved minimum error parameters, they were downloaded into the FPGA implemented architecture in order to assess its performance.
{"title":"Photovoltaic panel emulator in FPGA technology using ANFIS approach","authors":"F. Gómez-Castañeda, Gerardo Marcos Tornez-Xavier, L. M. Flores-Nava, O. Arellano-Cárdenas, J. Moreno-Cadenas","doi":"10.1109/ICEEE.2014.6978289","DOIUrl":"https://doi.org/10.1109/ICEEE.2014.6978289","url":null,"abstract":"In this manuscript we present the implementation in FPGA of ANFIS system (Adaptive Network-based Fuzzy Inference Systems) for a two-input architecture with three membership functions per input and nine fuzzy rules, used to set up a photovoltaic panel emulator. The starting point is the photovoltaic panel electric analog model simulated with ELDO, a tool of Mentor Graphics Suite, having as inputs irradiation and temperature from a meteorological data base so we can obtain the short-circuit current (Isc) and open circuit voltage (Voc) of the panel. With this information, ANFIS was trained within Matlab environment to approximate the photovoltaic panel response. The training was carried out for both, current and voltage, independently, and once achieved minimum error parameters, they were downloaded into the FPGA implemented architecture in order to assess its performance.","PeriodicalId":6661,"journal":{"name":"2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","volume":"13 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2014-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79006175","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 : 2014-12-08DOI: 10.1109/ICEEE.2014.6978261
Yumilka B. Fernandez Hernandez, Lenniet Coello Blanco, Yaima Filiberto, Rafael Bello, R. Falcon
Gauging the similarity among objects is a fairly common and important task that underpins many popular machine learning endeavours such as classification or clustering. Uncertainty representation mechanisms, such as rough set theory, or information processing paradigms like granular computing also lean upon well-defined similarity measures to better model the objects in the universe of discourse. In this informationladen world, the responsibility of designing these crucial granular constructs is shifting from domain experts to intelligent systems that automatically learn from data. An approach that hybridizes particle swarm optimization with elements from rough set theory has been recently proposed [1] to build these similarity measures from scratch. However, this scheme still remains fairly sensitive to the values of the similarity thresholds both in the input attribute space and the decision space. In this paper, we tackle this limitation by employing fuzzy sets to categorize the domain of both similarity thresholds. The efficacy of the proposed methodology is illustrated with the K-nearest neighbor classifier. Empirical results over several well-known repositories confirm that this approach preserves the classification accuracy while reducing the number of system parameters and enhancing its interpretability.
{"title":"Learning similarity measures from data with fuzzy sets and particle swarms","authors":"Yumilka B. Fernandez Hernandez, Lenniet Coello Blanco, Yaima Filiberto, Rafael Bello, R. Falcon","doi":"10.1109/ICEEE.2014.6978261","DOIUrl":"https://doi.org/10.1109/ICEEE.2014.6978261","url":null,"abstract":"Gauging the similarity among objects is a fairly common and important task that underpins many popular machine learning endeavours such as classification or clustering. Uncertainty representation mechanisms, such as rough set theory, or information processing paradigms like granular computing also lean upon well-defined similarity measures to better model the objects in the universe of discourse. In this informationladen world, the responsibility of designing these crucial granular constructs is shifting from domain experts to intelligent systems that automatically learn from data. An approach that hybridizes particle swarm optimization with elements from rough set theory has been recently proposed [1] to build these similarity measures from scratch. However, this scheme still remains fairly sensitive to the values of the similarity thresholds both in the input attribute space and the decision space. In this paper, we tackle this limitation by employing fuzzy sets to categorize the domain of both similarity thresholds. The efficacy of the proposed methodology is illustrated with the K-nearest neighbor classifier. Empirical results over several well-known repositories confirm that this approach preserves the classification accuracy while reducing the number of system parameters and enhancing its interpretability.","PeriodicalId":6661,"journal":{"name":"2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","volume":"1 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2014-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83710313","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 : 2014-12-08DOI: 10.1109/ICEEE.2014.6978254
G. Victor, Rodriguez Blanco Marco, M. Manuel, Lebedeva Olga, M. Francisco, Islas Chuc Mayolo
The optical subpixel detection of the floating objects on an agitated sea surface remains a hard problem. In this paper, we conduct a comparative study and investigate the relationship between two techniques in image sequence detection: well-known matched subspace detection (MSD) and recently proposed modified MSD (MMSD). MMSD approach extends the optimum Neyman-Pearson methodology to detection of a subspace signal in correlated additive Gaussian background when the background power may be different under the null (H0) and alternative (H1) hypotheses. It is assumed that the background covariance structure and power under the null hypothesis are known but under the alternative hypothesis the background power can be unknown. This situation occurs in optical systems when the presence of a small point (subpixel) object decreases the background power. The proposed detector structure contains the additional adaptive corrective term in the threshold. This corrective term decreases the value of presumed threshold automatically and, therefore, increases the probability of detection. Computer simulation and experimental results have shown that the proposed detector outperforms the conventional MSD. The influence of the adaptive threshold on the detector performance has been evaluated for the example scenario of the subpixel floating object on the agitated sea surface by using the experimental and simulation results.
{"title":"Detection of the subpixel floating objects on an agitated sea surface using an image sequence","authors":"G. Victor, Rodriguez Blanco Marco, M. Manuel, Lebedeva Olga, M. Francisco, Islas Chuc Mayolo","doi":"10.1109/ICEEE.2014.6978254","DOIUrl":"https://doi.org/10.1109/ICEEE.2014.6978254","url":null,"abstract":"The optical subpixel detection of the floating objects on an agitated sea surface remains a hard problem. In this paper, we conduct a comparative study and investigate the relationship between two techniques in image sequence detection: well-known matched subspace detection (MSD) and recently proposed modified MSD (MMSD). MMSD approach extends the optimum Neyman-Pearson methodology to detection of a subspace signal in correlated additive Gaussian background when the background power may be different under the null (H0) and alternative (H1) hypotheses. It is assumed that the background covariance structure and power under the null hypothesis are known but under the alternative hypothesis the background power can be unknown. This situation occurs in optical systems when the presence of a small point (subpixel) object decreases the background power. The proposed detector structure contains the additional adaptive corrective term in the threshold. This corrective term decreases the value of presumed threshold automatically and, therefore, increases the probability of detection. Computer simulation and experimental results have shown that the proposed detector outperforms the conventional MSD. The influence of the adaptive threshold on the detector performance has been evaluated for the example scenario of the subpixel floating object on the agitated sea surface by using the experimental and simulation results.","PeriodicalId":6661,"journal":{"name":"2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","volume":"28 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2014-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74585267","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 : 2014-12-08DOI: 10.1109/ICEEE.2014.6978327
Leobardo Camacho-Solorio, Aarón Sariñana-Toledo
We present a detailed design of a linear quadratic Gaussian control system with integral action (I-LQG) for a switched-mode DC-DC boost converter. Initially, identification tests were carried out to obtain an adequate linear model of the converter - using a black-box simulation model in MATLAB and Simulink. Then, we proceeded with the design of LQG and I-LQG control systems in three steps. First, we designed a linear quadratic regulator (LQR). After that, we constructed a linear quadratic estimator (LQE) of Kalman type and completed a LQG control system using the separation principle. Finally, we added integral action to the system and derived new LQR and LQE to construct the I-LQG control system. We tested the LQG and I-LQG control systems in the black-box model. These tests showed the effectiveness of the controllers for the regulation of the converter's output, for the rejection of constant perturbations, and for the attenuation of noise in measurements.
{"title":"I-LQG control of DC-DC boost converters","authors":"Leobardo Camacho-Solorio, Aarón Sariñana-Toledo","doi":"10.1109/ICEEE.2014.6978327","DOIUrl":"https://doi.org/10.1109/ICEEE.2014.6978327","url":null,"abstract":"We present a detailed design of a linear quadratic Gaussian control system with integral action (I-LQG) for a switched-mode DC-DC boost converter. Initially, identification tests were carried out to obtain an adequate linear model of the converter - using a black-box simulation model in MATLAB and Simulink. Then, we proceeded with the design of LQG and I-LQG control systems in three steps. First, we designed a linear quadratic regulator (LQR). After that, we constructed a linear quadratic estimator (LQE) of Kalman type and completed a LQG control system using the separation principle. Finally, we added integral action to the system and derived new LQR and LQE to construct the I-LQG control system. We tested the LQG and I-LQG control systems in the black-box model. These tests showed the effectiveness of the controllers for the regulation of the converter's output, for the rejection of constant perturbations, and for the attenuation of noise in measurements.","PeriodicalId":6661,"journal":{"name":"2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","volume":"40 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2014-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87058564","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}
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