Pub Date : 2022-09-23DOI: 10.1109/GlobConPT57482.2022.9938226
A. Routray, N. Sivakumar, N. Suresh, Gaurav Dhiman
In this paper, parameter variation of induction motor is estimated using sensor less vector control. Among different adaptive control of induction motor drive, the model reference adaptive system (MRAS) is one of the promising methods that has been used in this paper. MRAS model is important because it can be used over a wide range of speed variation. The error between adjustable and reference model is calculated in the stationary reference frame. The estimated speed is then calculated by an adaptive mechanism from measured terminal voltage and current of induction motor. In this paper an adaptive mechanism with fuzzy logic controller and performance of MRAS with PID controller implemented in MATLAB/Simulink environment. These schemes are applied to induction motor for sensor less speed control.
{"title":"Model Reference Adaptive System Based Sensor less Vector Control of Induction Motor Using Fuzzy PID Controller","authors":"A. Routray, N. Sivakumar, N. Suresh, Gaurav Dhiman","doi":"10.1109/GlobConPT57482.2022.9938226","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938226","url":null,"abstract":"In this paper, parameter variation of induction motor is estimated using sensor less vector control. Among different adaptive control of induction motor drive, the model reference adaptive system (MRAS) is one of the promising methods that has been used in this paper. MRAS model is important because it can be used over a wide range of speed variation. The error between adjustable and reference model is calculated in the stationary reference frame. The estimated speed is then calculated by an adaptive mechanism from measured terminal voltage and current of induction motor. In this paper an adaptive mechanism with fuzzy logic controller and performance of MRAS with PID controller implemented in MATLAB/Simulink environment. These schemes are applied to induction motor for sensor less speed control.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116701881","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 : 2022-09-23DOI: 10.1109/GlobConPT57482.2022.9938165
Soju J. Alexander, P. Sumathi, S. Panigrahi
Common causes of failures in structures are unexpected seismic vibrations, strong winds and huge waves often leading to human and economic losses. With increasing population and urbanization, the trend of high rise buildings is catching up in the country. Seismic isolation is effective in reducing the energy transferred to the structure, however at the cost of increased lateral displacement, which could reduce occupant comfort. Controlling the vibrations of building structures using semi-active devices in addition to base isolation is a promising technique to reduce inter storey displacement. This article covers simulation studies of such a technique and proposes experimental verification for the same.
{"title":"Semi-Active Control of Structures with Magnetorheological Fluid Dampers","authors":"Soju J. Alexander, P. Sumathi, S. Panigrahi","doi":"10.1109/GlobConPT57482.2022.9938165","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938165","url":null,"abstract":"Common causes of failures in structures are unexpected seismic vibrations, strong winds and huge waves often leading to human and economic losses. With increasing population and urbanization, the trend of high rise buildings is catching up in the country. Seismic isolation is effective in reducing the energy transferred to the structure, however at the cost of increased lateral displacement, which could reduce occupant comfort. Controlling the vibrations of building structures using semi-active devices in addition to base isolation is a promising technique to reduce inter storey displacement. This article covers simulation studies of such a technique and proposes experimental verification for the same.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127226190","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 : 2022-09-23DOI: 10.1109/GlobConPT57482.2022.9938334
Zeeshan Sarwer, Md. Nishat Anwar, A. Sarwar
In this article, a new 7-level boost Multilevel Inverter (MLI) is explained. It involves the use of self-balanced switched capacitors. Compared to other inverter topologies, it has less number of switching components. Moreover, the power switches have low stress which adds to the distinct features of the proposed MLI. The simulation analysis along with the experimental verification has been done in order to test the proposed circuit in different conditions. MATLAB software is used for doing simulation whereas the experimental results have been taken by using a laboratory prototype. Along with this, the loss analysis of the proposed MLI has been done, which comprises of the details of the losses occurring in the power electronic switches. The results of the loss analysis has been presented and explained in the paper. PLECS software is used for carrying out the power loss analysis. The high frequency level-shifted pulse width modulation (PWM) technique has been used for generating switching signals. A comparative study has been provided to understand the superiority of the MLI discussed in this paper.
{"title":"Self-Balanced Switched Capacitor Based 7-Level Multilevel Inverter with Triple Voltage Gain and Reduced Switching Components","authors":"Zeeshan Sarwer, Md. Nishat Anwar, A. Sarwar","doi":"10.1109/GlobConPT57482.2022.9938334","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938334","url":null,"abstract":"In this article, a new 7-level boost Multilevel Inverter (MLI) is explained. It involves the use of self-balanced switched capacitors. Compared to other inverter topologies, it has less number of switching components. Moreover, the power switches have low stress which adds to the distinct features of the proposed MLI. The simulation analysis along with the experimental verification has been done in order to test the proposed circuit in different conditions. MATLAB software is used for doing simulation whereas the experimental results have been taken by using a laboratory prototype. Along with this, the loss analysis of the proposed MLI has been done, which comprises of the details of the losses occurring in the power electronic switches. The results of the loss analysis has been presented and explained in the paper. PLECS software is used for carrying out the power loss analysis. The high frequency level-shifted pulse width modulation (PWM) technique has been used for generating switching signals. A comparative study has been provided to understand the superiority of the MLI discussed in this paper.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115547779","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 : 2022-09-23DOI: 10.1109/GlobConPT57482.2022.9938172
Rajat Budhiraja, Manish Kumar, M. K. Das, A. Bafila, Sanjeev Singh
Generation of photo-realistic fake content using Artificial Intelligence (AI)-based Generative Adversarial Networks has not only engulfed media, facial recognition or social networks, but is now rapidly surging ahead in the realm of medical imaging and is further facilitated by worldwide Covid-19 outbreak. Medical Deepfake pertains to application of AI-triggered deepfake technology on to medical modalities like Computed Tomography (CT) scan, X-Ray, Ultrasound etc. Owing to its high degree of privacy and sensitivity, any threats originating from exposed vulnerabilities, or, attacks on patients medical imagery takes an extremely threatening stance, either devastating the patients remaining lifespan, or resulting in grave financial frauds while satiating corrupt business motives. These tampering attacks, involve either insertion or removal of certain disease conditions, tumors in/from the modality under analysis. This paper implements and demonstrates a practical, lightweight technique which aims to accelerate deepfake detection for biomedical imagery by detecting malignant tumors injected in modalities of healthy patients. The developed technique makes use of convolutional reservoir networks (CoRN), which enable ensemble feature extraction and results in improved classification metrics. We further corroborate its effectiveness while working with a miniscule (< 100) set of images and illustrate the extent of generalization attained with different forms of the same medical imagery.
{"title":"MeDiFakeD: Medical Deepfake Detection using Convolutional Reservoir Networks","authors":"Rajat Budhiraja, Manish Kumar, M. K. Das, A. Bafila, Sanjeev Singh","doi":"10.1109/GlobConPT57482.2022.9938172","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938172","url":null,"abstract":"Generation of photo-realistic fake content using Artificial Intelligence (AI)-based Generative Adversarial Networks has not only engulfed media, facial recognition or social networks, but is now rapidly surging ahead in the realm of medical imaging and is further facilitated by worldwide Covid-19 outbreak. Medical Deepfake pertains to application of AI-triggered deepfake technology on to medical modalities like Computed Tomography (CT) scan, X-Ray, Ultrasound etc. Owing to its high degree of privacy and sensitivity, any threats originating from exposed vulnerabilities, or, attacks on patients medical imagery takes an extremely threatening stance, either devastating the patients remaining lifespan, or resulting in grave financial frauds while satiating corrupt business motives. These tampering attacks, involve either insertion or removal of certain disease conditions, tumors in/from the modality under analysis. This paper implements and demonstrates a practical, lightweight technique which aims to accelerate deepfake detection for biomedical imagery by detecting malignant tumors injected in modalities of healthy patients. The developed technique makes use of convolutional reservoir networks (CoRN), which enable ensemble feature extraction and results in improved classification metrics. We further corroborate its effectiveness while working with a miniscule (< 100) set of images and illustrate the extent of generalization attained with different forms of the same medical imagery.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114129891","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 : 2022-09-23DOI: 10.1109/GlobConPT57482.2022.9938279
Suman Mondal, R. Ray, S. Nandy
Autonomously controlled wheeled mobile robots (WMRs) are often instructed to navigate on a previously planned path through predefined control points within a clumsy obstacle-prone environment. In most path planning techniques, the planned path does not pass through all intermediate control points. Although, if the path passes through the intermediate control points in some cases, the overall path is constructed by many segments with the fulfillment of continuity criteria. Due to multiple segments, the existing path planning and control methods may sometimes fail to restore the WMR to its original planned path after negotiating obstacles. Considering the afore-mentioned drawback, a single segmented polynomial function-based motion planning cum path-following scheme suitable in confined and restricted places with the capability of negotiating unexpected obstacles is proposed in this article. The polynomial function is formulated based on the least square method encap-sulating all the predefined control points to the closest range. The proposed function is used as the position output function for the input-output feedback linearization controller (FBC) to maneuver the WMR through the planned path in a path-following paradigm. Further, considering a static and dynamic obstacles-prone working envelope, a fuzzy logic controller (FLC) is embedded with the FBC to inculcate intelligent behavior. Due to a single segment-based polynomial path, the intelligent controller ensures reinstating the WMR on the original path after avoiding obstacles. Finally, the effectiveness of the unique robot motion planning framework in avoiding collisions is illustrated in a simulated environment using robot parameters, and the relevance of the current research work is established over the piece-wise cubic spline-based path planning framework.
{"title":"Obstacle Free Robot Motion Planning and Intelligent Maneuvering Controller","authors":"Suman Mondal, R. Ray, S. Nandy","doi":"10.1109/GlobConPT57482.2022.9938279","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938279","url":null,"abstract":"Autonomously controlled wheeled mobile robots (WMRs) are often instructed to navigate on a previously planned path through predefined control points within a clumsy obstacle-prone environment. In most path planning techniques, the planned path does not pass through all intermediate control points. Although, if the path passes through the intermediate control points in some cases, the overall path is constructed by many segments with the fulfillment of continuity criteria. Due to multiple segments, the existing path planning and control methods may sometimes fail to restore the WMR to its original planned path after negotiating obstacles. Considering the afore-mentioned drawback, a single segmented polynomial function-based motion planning cum path-following scheme suitable in confined and restricted places with the capability of negotiating unexpected obstacles is proposed in this article. The polynomial function is formulated based on the least square method encap-sulating all the predefined control points to the closest range. The proposed function is used as the position output function for the input-output feedback linearization controller (FBC) to maneuver the WMR through the planned path in a path-following paradigm. Further, considering a static and dynamic obstacles-prone working envelope, a fuzzy logic controller (FLC) is embedded with the FBC to inculcate intelligent behavior. Due to a single segment-based polynomial path, the intelligent controller ensures reinstating the WMR on the original path after avoiding obstacles. Finally, the effectiveness of the unique robot motion planning framework in avoiding collisions is illustrated in a simulated environment using robot parameters, and the relevance of the current research work is established over the piece-wise cubic spline-based path planning framework.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114607416","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 : 2022-09-23DOI: 10.1109/GlobConPT57482.2022.9938278
G. Jagadan, U.K Sourav, Vaishnav Chathayil, Rishabh Kumar, M. V.
This study presents a highly efficient, isolated, LLC resonant DC-DC converter for electric vehicle charging, using the control strategy namely Frequency Modulation (FM). The steady state and transient state performance of the converter under a wide range of input and output conditions was analyzed. A comparative performance analysis of the conventional hard switching DC-DC converter and the resonant DC-DC converter was conducted. The LLC resonant DC-DC converter gave promising results in terms of higher efficiency, lower power dissipation and better EMI performance. The LLC resonant converter presented in this work is designed for wall charging application of an electric motorcycle in a domestic environment.
{"title":"Design of LLC Resonant Converter for High Efficiency EV Charging","authors":"G. Jagadan, U.K Sourav, Vaishnav Chathayil, Rishabh Kumar, M. V.","doi":"10.1109/GlobConPT57482.2022.9938278","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938278","url":null,"abstract":"This study presents a highly efficient, isolated, LLC resonant DC-DC converter for electric vehicle charging, using the control strategy namely Frequency Modulation (FM). The steady state and transient state performance of the converter under a wide range of input and output conditions was analyzed. A comparative performance analysis of the conventional hard switching DC-DC converter and the resonant DC-DC converter was conducted. The LLC resonant DC-DC converter gave promising results in terms of higher efficiency, lower power dissipation and better EMI performance. The LLC resonant converter presented in this work is designed for wall charging application of an electric motorcycle in a domestic environment.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129529307","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 : 2022-09-23DOI: 10.1109/GlobConPT57482.2022.9938191
S. Samal, P. Nayak, R. Mallick, A. Bhoi, Sairam Mishra, G. Panda
The proposed work focuses on estimation of harmonics using Kalman Filter (KF) in a photovoltaic (PV) integrated microgrid. The integration of photovoltaic system in utility grid injects harmonics in the distribution network due to voltage source-based high-power converters. The generation of harmonics basically depends on converter type and control techniques. The voltage source converter (VSC) with sinusoidal pulse width modulation (SPWM) is used in this study. Estimation of amplitude and phase angle of different harmonics are essential for the design of harmonic filters to improve power quality. So, an attempt has been made to estimate the harmonic content up to 11th harmonics. The PV integrated microgrid is modelled in MATLAB/Simulink environment. The model employs tuned proportional and integral controller and tested in V-f and P-Q control mode. Output waveforms of raw voltage and current signals are obtained at point of common coupling (PCC) and processed by the proposed Kalman Filter. The efficacy of the developed technique is verified using various simulation studies.
{"title":"Harmonic Estimation of PV - Integrated Microgrid Using Kalman Filter","authors":"S. Samal, P. Nayak, R. Mallick, A. Bhoi, Sairam Mishra, G. Panda","doi":"10.1109/GlobConPT57482.2022.9938191","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938191","url":null,"abstract":"The proposed work focuses on estimation of harmonics using Kalman Filter (KF) in a photovoltaic (PV) integrated microgrid. The integration of photovoltaic system in utility grid injects harmonics in the distribution network due to voltage source-based high-power converters. The generation of harmonics basically depends on converter type and control techniques. The voltage source converter (VSC) with sinusoidal pulse width modulation (SPWM) is used in this study. Estimation of amplitude and phase angle of different harmonics are essential for the design of harmonic filters to improve power quality. So, an attempt has been made to estimate the harmonic content up to 11th harmonics. The PV integrated microgrid is modelled in MATLAB/Simulink environment. The model employs tuned proportional and integral controller and tested in V-f and P-Q control mode. Output waveforms of raw voltage and current signals are obtained at point of common coupling (PCC) and processed by the proposed Kalman Filter. The efficacy of the developed technique is verified using various simulation studies.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128693411","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 : 2022-09-23DOI: 10.1109/GlobConPT57482.2022.9938344
Shreshtha Devgan, Sehaj Walia, V. Khemchandani, Sushil Chandra
The main objective of this work is to aid the military. A Drone Swarm Surveillance system is used for general patrolling and surveillance in restricted areas. Virtual Reality is a technology that makes this process easier by simulating real-life experiences and allows people to create simulations of the real scenarios and carry out necessary actions and behaviour. The UAVs/drones simulation offers a wide range of operations in the defense domain such as keeping a check over assigned areas, to spy on suspicious people, for search operations, delivery of arms and ammunition and many more. Virtual Reality (VR) in defense monitoring and surveillance offers the functionality where a military personnel can patrol a rough terrestrial area without risking their lives. Here, A simulation is created where each drone can acquire real time images in the environment at any moment of time, when a military personnel commands it, by clicking the assigned keys to acquire images of the criminal activities in a local file system. Furthermore, Image Processing can be done after preparing a data set of the acquired real-time images to automate this process by training. The Monitoring system enables drones moving in an aero-formation to ‘segregate’ which allows them to cover more area in less time. The swarm of drones can then ‘aggregate’ back according to their directed pre-defined paths. This work offers the functionality of drone path mapping which can be used by concerned authorities according to their security needs. The Path Planning can be done throughout the 3D environment by laying out the integrated Waypoint System.
{"title":"Multi/Swarm Drone Surveillance and Monitoring System using VR simulation","authors":"Shreshtha Devgan, Sehaj Walia, V. Khemchandani, Sushil Chandra","doi":"10.1109/GlobConPT57482.2022.9938344","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938344","url":null,"abstract":"The main objective of this work is to aid the military. A Drone Swarm Surveillance system is used for general patrolling and surveillance in restricted areas. Virtual Reality is a technology that makes this process easier by simulating real-life experiences and allows people to create simulations of the real scenarios and carry out necessary actions and behaviour. The UAVs/drones simulation offers a wide range of operations in the defense domain such as keeping a check over assigned areas, to spy on suspicious people, for search operations, delivery of arms and ammunition and many more. Virtual Reality (VR) in defense monitoring and surveillance offers the functionality where a military personnel can patrol a rough terrestrial area without risking their lives. Here, A simulation is created where each drone can acquire real time images in the environment at any moment of time, when a military personnel commands it, by clicking the assigned keys to acquire images of the criminal activities in a local file system. Furthermore, Image Processing can be done after preparing a data set of the acquired real-time images to automate this process by training. The Monitoring system enables drones moving in an aero-formation to ‘segregate’ which allows them to cover more area in less time. The swarm of drones can then ‘aggregate’ back according to their directed pre-defined paths. This work offers the functionality of drone path mapping which can be used by concerned authorities according to their security needs. The Path Planning can be done throughout the 3D environment by laying out the integrated Waypoint System.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128953318","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 : 2022-09-23DOI: 10.1109/GlobConPT57482.2022.9938202
V. Verma, Prajeet Shukla
The paper proposes novel topology “dual input common LLC-resonant tank-based charger for charging the 72V, 60Ah Lithium-ion battery. With four active switches, the topology is a twin half-bridge LLC circuit. This design eliminates the need for additional circuit components by allowing the two sources to share the same resonant tank for transferring energy to the load. The converter is operating in differential mode. Current controlled Variable frequency control using simple PI controller is employed to regulate battery charging at different line and load perturbations. A simulation study is done on 3.3kW proposed charger using MATLAB/SIMULINK to support the theoretical concept.
{"title":"Dual Input Common LLC-Resonant Tank based off-Grid Charger","authors":"V. Verma, Prajeet Shukla","doi":"10.1109/GlobConPT57482.2022.9938202","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938202","url":null,"abstract":"The paper proposes novel topology “dual input common LLC-resonant tank-based charger for charging the 72V, 60Ah Lithium-ion battery. With four active switches, the topology is a twin half-bridge LLC circuit. This design eliminates the need for additional circuit components by allowing the two sources to share the same resonant tank for transferring energy to the load. The converter is operating in differential mode. Current controlled Variable frequency control using simple PI controller is employed to regulate battery charging at different line and load perturbations. A simulation study is done on 3.3kW proposed charger using MATLAB/SIMULINK to support the theoretical concept.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116271042","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 : 2022-09-23DOI: 10.1109/GlobConPT57482.2022.9938257
M. Bahloul, S. Patra, S. Khadem
This paper presents a novel nonlinear control approach for the DC-DC bidirectional converter to efficiently operate the battery energy storage systems in DC micro-grids. The control design is based on sliding model back-stepping nonlinear control approach. This paper also proposes a novel equivalent dynamic model for the micro-grid system to verify the effectiveness of the proposed control system. The stability analysis is assessed using the Lyapunov stability theory. The effectiveness and robustness of the proposed method are evaluated through the simulation study and considering the nominal case, parameter uncertainties/variations, and sensor faults scenarios.
{"title":"Design of a Nonlinear Controller for Bidirectional DC-DC Converter in DC Micro-grids","authors":"M. Bahloul, S. Patra, S. Khadem","doi":"10.1109/GlobConPT57482.2022.9938257","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938257","url":null,"abstract":"This paper presents a novel nonlinear control approach for the DC-DC bidirectional converter to efficiently operate the battery energy storage systems in DC micro-grids. The control design is based on sliding model back-stepping nonlinear control approach. This paper also proposes a novel equivalent dynamic model for the micro-grid system to verify the effectiveness of the proposed control system. The stability analysis is assessed using the Lyapunov stability theory. The effectiveness and robustness of the proposed method are evaluated through the simulation study and considering the nominal case, parameter uncertainties/variations, and sensor faults scenarios.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116555820","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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