Pub Date : 2016-07-04DOI: 10.1109/ICPEICES.2016.7853735
Uttam Ch. Boro, N. Bora, P. Pegu, R. Subadar
In this paper, the effect High Temperature on the performance of a symmetric double gate junctionless transistor based inverter is analyzed. 3D simulations are performed using COGENDA 3D TCAD tool to investigate its switching characteristics, voltage transfer characteristics, output current and noise margin at different temperatures. High-K gate dielectric material (HFO2) is used as the gate oxide to achieve improved device characteristics and hence the inverter performance.
本文分析了高温对对称双栅无结晶体管逆变器性能的影响。利用COGENDA 3D TCAD工具进行三维仿真，研究其在不同温度下的开关特性、电压转移特性、输出电流和噪声裕度。采用高k栅极介电材料(HFO2)作为栅极氧化物，以改善器件特性，从而提高逆变器性能。
{"title":"Impact of temperature on the performance of sub-35nm symmetric Double Gate Junctionless Transistor based inverter using High-K gate dielectric, a TCAD simulation study","authors":"Uttam Ch. Boro, N. Bora, P. Pegu, R. Subadar","doi":"10.1109/ICPEICES.2016.7853735","DOIUrl":"https://doi.org/10.1109/ICPEICES.2016.7853735","url":null,"abstract":"In this paper, the effect High Temperature on the performance of a symmetric double gate junctionless transistor based inverter is analyzed. 3D simulations are performed using COGENDA 3D TCAD tool to investigate its switching characteristics, voltage transfer characteristics, output current and noise margin at different temperatures. High-K gate dielectric material (HFO2) is used as the gate oxide to achieve improved device characteristics and hence the inverter performance.","PeriodicalId":305942,"journal":{"name":"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122150713","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 : 2016-07-04DOI: 10.1109/ICPEICES.2016.7853220
Savita, M. A. Ansari, N. Pal, H. Malik
This paper introduces Generalized Regression Neural Network (GRNN) for long term wind speed prediction of major wind power potential states in India. The performance of proposed GRNN model is evaluated using the publicly available online dataset of National Aeronautics and Space Administration (NASA). Data samples of 26 cities are used for training the generalized regression neural network and remaining 5 cities data samples are used for testing purpose. Air temperature, earth temperature, relative humidity, daily solar radiation, elevation, latitude, heating degree days, cooling degree days, frost days, longitude and atmospheric pressure are used as input variables. Mean square error between measured and forecasted wind speed using training data samples and testing data samples are found to be 0.000042279 and 0.1543. Here it is important to impart that the proposed GRNN model is trained and tested with data samples of different geographical locations in order to make it feasible for wind speed prediction of any other location. Wind power of prominent wind power potential states in India are predicted by a variable pitch and speed control wind turbine G80-2MW.
{"title":"Wind speed and power prediction of prominent wind power potential states in India using GRNN","authors":"Savita, M. A. Ansari, N. Pal, H. Malik","doi":"10.1109/ICPEICES.2016.7853220","DOIUrl":"https://doi.org/10.1109/ICPEICES.2016.7853220","url":null,"abstract":"This paper introduces Generalized Regression Neural Network (GRNN) for long term wind speed prediction of major wind power potential states in India. The performance of proposed GRNN model is evaluated using the publicly available online dataset of National Aeronautics and Space Administration (NASA). Data samples of 26 cities are used for training the generalized regression neural network and remaining 5 cities data samples are used for testing purpose. Air temperature, earth temperature, relative humidity, daily solar radiation, elevation, latitude, heating degree days, cooling degree days, frost days, longitude and atmospheric pressure are used as input variables. Mean square error between measured and forecasted wind speed using training data samples and testing data samples are found to be 0.000042279 and 0.1543. Here it is important to impart that the proposed GRNN model is trained and tested with data samples of different geographical locations in order to make it feasible for wind speed prediction of any other location. Wind power of prominent wind power potential states in India are predicted by a variable pitch and speed control wind turbine G80-2MW.","PeriodicalId":305942,"journal":{"name":"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124075531","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 : 2016-07-04DOI: 10.1109/ICPEICES.2016.7853259
A. Kaur, Prabhpreet Kaur
Diabetic retinopathy is a health problem that most widespread cause of vision damage in developed countries. Early recognition of Diabetic retinopathy is very important for saving vision pairment and for effective treatment. Exudates are the symptoms of DR. Many approaches in literature are discussed on segmenting the exudates. This paper has shown different techniques of exudates segmentation with its benefits and limitations. All discussed techniques have improved the performance in terms of accuracy, specificity, PPV, Error Rate and sensitivity. The comparison has shown that ant colony optimization based segmentation has better results over each techniques.
{"title":"A comparative review of various segmentation techniques for early detection of exudates in retinal fundus images","authors":"A. Kaur, Prabhpreet Kaur","doi":"10.1109/ICPEICES.2016.7853259","DOIUrl":"https://doi.org/10.1109/ICPEICES.2016.7853259","url":null,"abstract":"Diabetic retinopathy is a health problem that most widespread cause of vision damage in developed countries. Early recognition of Diabetic retinopathy is very important for saving vision pairment and for effective treatment. Exudates are the symptoms of DR. Many approaches in literature are discussed on segmenting the exudates. This paper has shown different techniques of exudates segmentation with its benefits and limitations. All discussed techniques have improved the performance in terms of accuracy, specificity, PPV, Error Rate and sensitivity. The comparison has shown that ant colony optimization based segmentation has better results over each techniques.","PeriodicalId":305942,"journal":{"name":"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127132862","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 : 2016-07-04DOI: 10.1109/ICPEICES.2016.7853729
B. Bhushan, Ajit Kumar Sharma, Deepti Singh
Conventional controllers usually require a prior knowledge of mathematical modeling of the process. The inaccuracy of mathematical modeling degrades the performance of the process, especially for non-linear and complex control problem. To overcome above difficulties intelligent controllers like Fuzzy Logic (FL) and Adaptive Neuro-Fuzzy Inference System (ANFIS), are implemented. The Fuzzy controller is designed to work with knowledge in the form of linguistic control rules. But the translation of these linguistic rules into the framework of fuzzy set theory depends on the choice of certain parameters, for which no formal method is known. It is analyzed that ANFIS is best suitable for adaptive temperature control of above system. As compared to FLC, ANFIS produces a stable control signal. It has much better temperature tracking capability with almost zero overshoot and minimum absolute error.
{"title":"Fuzzy & ANFIS based temperature control of water bath system","authors":"B. Bhushan, Ajit Kumar Sharma, Deepti Singh","doi":"10.1109/ICPEICES.2016.7853729","DOIUrl":"https://doi.org/10.1109/ICPEICES.2016.7853729","url":null,"abstract":"Conventional controllers usually require a prior knowledge of mathematical modeling of the process. The inaccuracy of mathematical modeling degrades the performance of the process, especially for non-linear and complex control problem. To overcome above difficulties intelligent controllers like Fuzzy Logic (FL) and Adaptive Neuro-Fuzzy Inference System (ANFIS), are implemented. The Fuzzy controller is designed to work with knowledge in the form of linguistic control rules. But the translation of these linguistic rules into the framework of fuzzy set theory depends on the choice of certain parameters, for which no formal method is known. It is analyzed that ANFIS is best suitable for adaptive temperature control of above system. As compared to FLC, ANFIS produces a stable control signal. It has much better temperature tracking capability with almost zero overshoot and minimum absolute error.","PeriodicalId":305942,"journal":{"name":"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132850628","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 : 2016-07-04DOI: 10.1109/ICPEICES.2016.7853067
G. Rakesh, N. Pindoriya
Single-phase PWM AC/DC converter used for Microgrid application has been widely tested mostly using linear loads. The behavior of the converter with the linear and static/dynamic loads need to be analyzed when it is connected to the grid, particularly with the Indian house hold power supply. This paper presents simulation and experimental results to verify the behavior of PWM AC/DC converter with different loading scenarios-lighting loads, resistive loads and BLDC motor load. All experiments are performed on real time digital simulator test bed, to evaluate the converter's performance in real time. The main focus of the study is to analyze the effects of DC and AC bus during the instants of switching and their response to the sudden load changes. Experiments are conducted on scenario based approach considering each type of load individually and at the end all the loads together. The converter parameters are chosen in such way that to have good efficiency and cost effective. The effect on line current due to improper design of converter parameters is explained in detail using simulation and experimental results. Also the bidirectional power flow capability of the converter is shown using simulation results for Indian power supply specifications.
{"title":"Simulation and experimental study of single phase PWM AC/DC converter for Microgrid application","authors":"G. Rakesh, N. Pindoriya","doi":"10.1109/ICPEICES.2016.7853067","DOIUrl":"https://doi.org/10.1109/ICPEICES.2016.7853067","url":null,"abstract":"Single-phase PWM AC/DC converter used for Microgrid application has been widely tested mostly using linear loads. The behavior of the converter with the linear and static/dynamic loads need to be analyzed when it is connected to the grid, particularly with the Indian house hold power supply. This paper presents simulation and experimental results to verify the behavior of PWM AC/DC converter with different loading scenarios-lighting loads, resistive loads and BLDC motor load. All experiments are performed on real time digital simulator test bed, to evaluate the converter's performance in real time. The main focus of the study is to analyze the effects of DC and AC bus during the instants of switching and their response to the sudden load changes. Experiments are conducted on scenario based approach considering each type of load individually and at the end all the loads together. The converter parameters are chosen in such way that to have good efficiency and cost effective. The effect on line current due to improper design of converter parameters is explained in detail using simulation and experimental results. Also the bidirectional power flow capability of the converter is shown using simulation results for Indian power supply specifications.","PeriodicalId":305942,"journal":{"name":"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130890769","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 : 2016-07-04DOI: 10.1109/ICPEICES.2016.7853653
Prabhjot Kaur, Sandeep Kaur, R. Khanna
The increasing power demand and the deficiency in generating capacities have set the way towards Distributed Generation. Distributed Generation (DG) is assuming widespread popularity owing to its potential to solve numerous issues like the power system de-regulation; meeting the rising power demand; improving voltage profile; reduction in power losses etc. The Optimum Location of DG and optimum DG Sizing are the two critical issues in the integration of DG with the electric grid because the improper placement and improper sizing of DG in power system can not only leads to the enhanced total power losses but can also damage the normal operation of power system. Optimal placement of DG units is a nonlinear optimization problem. This paper proposes a methodology to calculate the optimal location and effective optimal size. The influence of variation in location of DG with respect to the total power losses and voltage in the system is also carried out. The proposed methodology is tested on 33 bus radial distribution network. The obtained results are exhibited in graphical manner. The results achieved from the proposed methodology are paralleled with that of the exhaustive load flows.
{"title":"Optimal placement and sizing of DG comparison of different techniques of DG placement","authors":"Prabhjot Kaur, Sandeep Kaur, R. Khanna","doi":"10.1109/ICPEICES.2016.7853653","DOIUrl":"https://doi.org/10.1109/ICPEICES.2016.7853653","url":null,"abstract":"The increasing power demand and the deficiency in generating capacities have set the way towards Distributed Generation. Distributed Generation (DG) is assuming widespread popularity owing to its potential to solve numerous issues like the power system de-regulation; meeting the rising power demand; improving voltage profile; reduction in power losses etc. The Optimum Location of DG and optimum DG Sizing are the two critical issues in the integration of DG with the electric grid because the improper placement and improper sizing of DG in power system can not only leads to the enhanced total power losses but can also damage the normal operation of power system. Optimal placement of DG units is a nonlinear optimization problem. This paper proposes a methodology to calculate the optimal location and effective optimal size. The influence of variation in location of DG with respect to the total power losses and voltage in the system is also carried out. The proposed methodology is tested on 33 bus radial distribution network. The obtained results are exhibited in graphical manner. The results achieved from the proposed methodology are paralleled with that of the exhaustive load flows.","PeriodicalId":305942,"journal":{"name":"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126400717","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 : 2016-07-04DOI: 10.1109/ICPEICES.2016.7853604
V. Gupta, Surya Teja D., Sanchit Gupta, P. Sengar
We have generated an algorithm which runs on the human retinal fundus image and finds out the blood veins that are in the retinal fundus image to detect the Diabetic Retinopathy disease. This is occurred usually in the Diabetic patients where there is a loss of vision if not medicated at a proper instance. We have made this to make the doctors to be more efficient about which stage the disease is in with the blood veins image that we calculate out of the Retinal fundus image.
{"title":"Extraction of blood veins from the fundus image to detect Diabetic Retinopathy","authors":"V. Gupta, Surya Teja D., Sanchit Gupta, P. Sengar","doi":"10.1109/ICPEICES.2016.7853604","DOIUrl":"https://doi.org/10.1109/ICPEICES.2016.7853604","url":null,"abstract":"We have generated an algorithm which runs on the human retinal fundus image and finds out the blood veins that are in the retinal fundus image to detect the Diabetic Retinopathy disease. This is occurred usually in the Diabetic patients where there is a loss of vision if not medicated at a proper instance. We have made this to make the doctors to be more efficient about which stage the disease is in with the blood veins image that we calculate out of the Retinal fundus image.","PeriodicalId":305942,"journal":{"name":"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122736308","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 : 2016-07-04DOI: 10.1109/ICPEICES.2016.7853398
T. Kaur, Shraiya Mahajan, S. Verma, Priyanka, J. Gambhir
Sun is an abundant source of energy and this solar energy can be harnessed successfully using solar photovoltaic cells and photovoltaic effect to convert solar energy into electrical energy. But the conversion efficiency of a normal PV cell is low. One of the main reason for this is that the output of PV cell is dependent directly on the light intensity and with the position of the sun in the sky changing continuously from time to time; the absorption efficiency of an immobile solar panel would be significantly less at certain time of the day and year; for the solar photovoltaic cells are maximum productive when they are perpendicular to the sun and less productive otherwise. So to maximize the energy generation and improve the efficiency; solar trackers come into play. This paper presents the design and construction of an inexpensive active dual-axis solar tracking system for tracking the movement of the sun so as to get maximum power from the solar panels as they follow the sun. It uses Light Dependent Resistors to sense the position of the sun which is communicated to a Arduino Uno microcontroller which then commands a set of two servo-motors to re-orient the panel in order to stay perpendicular to the sun rays. The design was constructed successfully and tested using Lab View to determine the improvements in efficiency. Evaluation results show that the new system performs 13.44% better than the immobile solar PV system.
{"title":"Arduino based low cost active dual axis solar tracker","authors":"T. Kaur, Shraiya Mahajan, S. Verma, Priyanka, J. Gambhir","doi":"10.1109/ICPEICES.2016.7853398","DOIUrl":"https://doi.org/10.1109/ICPEICES.2016.7853398","url":null,"abstract":"Sun is an abundant source of energy and this solar energy can be harnessed successfully using solar photovoltaic cells and photovoltaic effect to convert solar energy into electrical energy. But the conversion efficiency of a normal PV cell is low. One of the main reason for this is that the output of PV cell is dependent directly on the light intensity and with the position of the sun in the sky changing continuously from time to time; the absorption efficiency of an immobile solar panel would be significantly less at certain time of the day and year; for the solar photovoltaic cells are maximum productive when they are perpendicular to the sun and less productive otherwise. So to maximize the energy generation and improve the efficiency; solar trackers come into play. This paper presents the design and construction of an inexpensive active dual-axis solar tracking system for tracking the movement of the sun so as to get maximum power from the solar panels as they follow the sun. It uses Light Dependent Resistors to sense the position of the sun which is communicated to a Arduino Uno microcontroller which then commands a set of two servo-motors to re-orient the panel in order to stay perpendicular to the sun rays. The design was constructed successfully and tested using Lab View to determine the improvements in efficiency. Evaluation results show that the new system performs 13.44% better than the immobile solar PV system.","PeriodicalId":305942,"journal":{"name":"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133549763","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 : 2016-07-04DOI: 10.1109/ICPEICES.2016.7853584
V. Rajguru, K. Gadge, Soham Karyakarte, Supriya Kawathekar, Vishnu P. Menon
In future, solar energy will be an important energy source as it is renewable in nature. A solar cell being the smallest energy unit of any solar power system, an array of such solar cells constitutes a solar panel. The output of a solar panel follows a nonlinear current voltage characteristic which depends primarily on irradiance, temperature and load connected. A distinct point for fixed atmospheric conditions for which maximum power is extracted from the panel is the Maximum Power Point(MPP). A number of constraints are associated with installing, operating and thus studying the behaviour and designing a power system for solar panels. This paper thus discusses about the design of prototype indoor solar panel simulator along with the design of a Maximum Power Point Tracking (MPPT) System. Using this design efficiently, a large range of panels for various dynamic atmospheric conditions can be simulated. Various MPPT algorithms can be tested and analysed for their performance in actual solar power systems. The entire system consists of DC DC converter, a driver for the MOSFET, Voltage and Current Sensors, microcontroller, a DC programmable source and GUI on Visual Basic. Selection for each component is explained. The system sequential operation, flow of power and communication between various components is elaborated. Lastly, implementation results are discussed where Incremental Conductance MPPT algorithm is tested for a sample IV curve and thus Maximum Power Point is tracked.
{"title":"Design and implementation of a prototype DC photovoltaic power system simulator with Maximum Power Point Tracking system","authors":"V. Rajguru, K. Gadge, Soham Karyakarte, Supriya Kawathekar, Vishnu P. Menon","doi":"10.1109/ICPEICES.2016.7853584","DOIUrl":"https://doi.org/10.1109/ICPEICES.2016.7853584","url":null,"abstract":"In future, solar energy will be an important energy source as it is renewable in nature. A solar cell being the smallest energy unit of any solar power system, an array of such solar cells constitutes a solar panel. The output of a solar panel follows a nonlinear current voltage characteristic which depends primarily on irradiance, temperature and load connected. A distinct point for fixed atmospheric conditions for which maximum power is extracted from the panel is the Maximum Power Point(MPP). A number of constraints are associated with installing, operating and thus studying the behaviour and designing a power system for solar panels. This paper thus discusses about the design of prototype indoor solar panel simulator along with the design of a Maximum Power Point Tracking (MPPT) System. Using this design efficiently, a large range of panels for various dynamic atmospheric conditions can be simulated. Various MPPT algorithms can be tested and analysed for their performance in actual solar power systems. The entire system consists of DC DC converter, a driver for the MOSFET, Voltage and Current Sensors, microcontroller, a DC programmable source and GUI on Visual Basic. Selection for each component is explained. The system sequential operation, flow of power and communication between various components is elaborated. Lastly, implementation results are discussed where Incremental Conductance MPPT algorithm is tested for a sample IV curve and thus Maximum Power Point is tracked.","PeriodicalId":305942,"journal":{"name":"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134055413","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 : 2016-07-04DOI: 10.1109/ICPEICES.2016.7853574
V. Rajguru, Rohit R. Rokade, B. Choudhary
Small signal mathematical model, Open loop frequency response and closed loop analysis of Active Clamp Forward Converter with Current Doubler Rectifier (ACFC-CDR) in PSIM & MATLAB are presented in this paper. Forward converter includes a transformer to achieve galvanic isolation and to transfer energy. This converter consist of active clamp circuit to reveal energy stored in magnetizing and leakage inductance of transformer. Presence of clamp circuit in ACFC-CDR exhibits fifth order power stage dynamics. For full wave rectification, Current Doubler Rectifier(CDR) technique is implemented to the secondary side of transformer. State space averaging technique is applied to obtain a mathematical model of a power stage to analyze frequency response of open loop ACFC-CDR. Verification of mathematical model is achieved by comparing the results of open loop system in PSIM and MATLAB-Simulink also. Closed loop system analysis using Type III compensator.
{"title":"Modelling and control of Active Clamp Forward Converter with Current Doubler Rectifier","authors":"V. Rajguru, Rohit R. Rokade, B. Choudhary","doi":"10.1109/ICPEICES.2016.7853574","DOIUrl":"https://doi.org/10.1109/ICPEICES.2016.7853574","url":null,"abstract":"Small signal mathematical model, Open loop frequency response and closed loop analysis of Active Clamp Forward Converter with Current Doubler Rectifier (ACFC-CDR) in PSIM & MATLAB are presented in this paper. Forward converter includes a transformer to achieve galvanic isolation and to transfer energy. This converter consist of active clamp circuit to reveal energy stored in magnetizing and leakage inductance of transformer. Presence of clamp circuit in ACFC-CDR exhibits fifth order power stage dynamics. For full wave rectification, Current Doubler Rectifier(CDR) technique is implemented to the secondary side of transformer. State space averaging technique is applied to obtain a mathematical model of a power stage to analyze frequency response of open loop ACFC-CDR. Verification of mathematical model is achieved by comparing the results of open loop system in PSIM and MATLAB-Simulink also. Closed loop system analysis using Type III compensator.","PeriodicalId":305942,"journal":{"name":"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115856459","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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