Pub Date : 2021-12-20DOI: 10.1109/scc53769.2021.9768395
Kamel Sayahi, Bacha Faouzi
In order to provide electrical energy to consumers in compliance with international standards, electrical energy operators are required to control the quality of this energy from its production to its consumption. For this purpose, several static converters are installed at different grid locations to ensure the transient and permanent stability of the later. FACTs (flexible alternative current transmission systems), active power filters... are based on static converters. These devices ensure the compensation of the reactive power in the grid as well as the elimination of the grid current and voltage harmonics. This paper deals with the direct power control (DPC) of a static power converter installed on the electrical network in two different ways. This converter provides the function of a STATCOM (static compensator) of reactive power and at the same time the function of an active power filter (APF).
{"title":"STATCOM/APF Control Using Two Proposed DPC Strategies For Power Quality Improvement","authors":"Kamel Sayahi, Bacha Faouzi","doi":"10.1109/scc53769.2021.9768395","DOIUrl":"https://doi.org/10.1109/scc53769.2021.9768395","url":null,"abstract":"In order to provide electrical energy to consumers in compliance with international standards, electrical energy operators are required to control the quality of this energy from its production to its consumption. For this purpose, several static converters are installed at different grid locations to ensure the transient and permanent stability of the later. FACTs (flexible alternative current transmission systems), active power filters... are based on static converters. These devices ensure the compensation of the reactive power in the grid as well as the elimination of the grid current and voltage harmonics. This paper deals with the direct power control (DPC) of a static power converter installed on the electrical network in two different ways. This converter provides the function of a STATCOM (static compensator) of reactive power and at the same time the function of an active power filter (APF).","PeriodicalId":365845,"journal":{"name":"2021 IEEE 2nd International Conference on Signal, Control and Communication (SCC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126380009","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 : 2021-12-20DOI: 10.1109/scc53769.2021.9768377
Yosra Smai, H. Ben Azza, M. Jemli
This paper presents a marine current turbine (MCT) system based on a Doubly Fed Induction Generator (DFIG) connected to DC-bus. Field Oriented Control (FOC) is the control strategy chosen for the DFIG-DC energy conversion system. In this topology, a diode rectifier is used to connect the stator of the DFIG and the DC-bus, while the rotor is connected to the DC-bus through a PMW inverter. The regulation of the stator frequency and the dc voltage is ensured respectively through the control of d-axis and q-axis rotor currents. First order sliding mode controllers are proposed to control the rotor currents. Simulation and experimental results are presented to show the performance of the proposed control strategy.
{"title":"Sliding mode control of a Marine Current Turbine driven DFIG-DC conversion system","authors":"Yosra Smai, H. Ben Azza, M. Jemli","doi":"10.1109/scc53769.2021.9768377","DOIUrl":"https://doi.org/10.1109/scc53769.2021.9768377","url":null,"abstract":"This paper presents a marine current turbine (MCT) system based on a Doubly Fed Induction Generator (DFIG) connected to DC-bus. Field Oriented Control (FOC) is the control strategy chosen for the DFIG-DC energy conversion system. In this topology, a diode rectifier is used to connect the stator of the DFIG and the DC-bus, while the rotor is connected to the DC-bus through a PMW inverter. The regulation of the stator frequency and the dc voltage is ensured respectively through the control of d-axis and q-axis rotor currents. First order sliding mode controllers are proposed to control the rotor currents. Simulation and experimental results are presented to show the performance of the proposed control strategy.","PeriodicalId":365845,"journal":{"name":"2021 IEEE 2nd International Conference on Signal, Control and Communication (SCC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116607857","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 : 2021-12-20DOI: 10.1109/scc53769.2021.9768340
Mansour Baazouzi, F. Bacha
The High Voltage Direct Current (HVDC) power systems has an important role in transmitting high power among long distances with respect to the transportation of the AC high voltage (HVAC). The HVDC grid has a set of advantages such as robustness against disturbances and low power losses compared to the AC system and the connection between two AC power grids. Modular Multi-Level Converter (MMC) is more suitable kind of topology compared to other topologies used in HVDC applications. The increasing number of submodules (SM) presents a challenge for researchers in terms of ordering complexity. In this paper, two pulse width modulation techniques are compared in the quality of currents and voltages to the filter level, which presents one of the major problems of the MMC converter. The simulation was performed using MATLAB/Simulink software and the presented simulation results prove the performance of the proposed control systems. The output voltage waveforms and the total harmonic distortion (THD) rate of the proposed system are improved without the need for a filter.
{"title":"Impact of the MMC level number to reduce THD rate and improve the power quality transmitted to the electrical grid","authors":"Mansour Baazouzi, F. Bacha","doi":"10.1109/scc53769.2021.9768340","DOIUrl":"https://doi.org/10.1109/scc53769.2021.9768340","url":null,"abstract":"The High Voltage Direct Current (HVDC) power systems has an important role in transmitting high power among long distances with respect to the transportation of the AC high voltage (HVAC). The HVDC grid has a set of advantages such as robustness against disturbances and low power losses compared to the AC system and the connection between two AC power grids. Modular Multi-Level Converter (MMC) is more suitable kind of topology compared to other topologies used in HVDC applications. The increasing number of submodules (SM) presents a challenge for researchers in terms of ordering complexity. In this paper, two pulse width modulation techniques are compared in the quality of currents and voltages to the filter level, which presents one of the major problems of the MMC converter. The simulation was performed using MATLAB/Simulink software and the presented simulation results prove the performance of the proposed control systems. The output voltage waveforms and the total harmonic distortion (THD) rate of the proposed system are improved without the need for a filter.","PeriodicalId":365845,"journal":{"name":"2021 IEEE 2nd International Conference on Signal, Control and Communication (SCC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123748741","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 : 2021-12-20DOI: 10.1109/scc53769.2021.9768363
Stefan Jespersen, D. Hansen, Zhenyu Yang, S. Andersen
The online monitoring of Oil-in-Water (OiW) concentration in dynamic flow-loops using UV-Fluorescence-based sensors is investigated. Though the OiW sensors can be carefully calibrated in the static condition, many dynamic flow conditions can still impact their real-time measurement. In order to examine the considered OiW sensor’s capability in handling dynamic flows, an extensive experimental study has been committed, which considers the following aspects, such as (i) different flow-loop configurations, e.g., standalone-loops and cyclone-in-loop; (ii) different online sampling mechanisms, e.g., (direct) in-line measurement and (indirect) side-stream measurement; (iii) different flow-rates of total stream or side-stream under different configurations and sampling mechanisms; (iv) impacts of air bubbles and pressure-pumps. The experimental results show that the considered OiW sensor can provide quite reasonable dynamic measurements in general. However this sensor’s measurement can be very sensitive to different flow regimes, impurities (incl. air) in the measured stream as well as upstream (nearby) operating conditions. These observations could inspire automation researchers and industrial operators to create some innovative sensor fusion method(s), to combine this OiW measurement with other available measurements in the produced water treatment processes for better control of the de-oiling hydrocyclone system.
{"title":"Flow-Loop Testing of Online Oil-in-Water UV-Fluorescence-Based Measurement","authors":"Stefan Jespersen, D. Hansen, Zhenyu Yang, S. Andersen","doi":"10.1109/scc53769.2021.9768363","DOIUrl":"https://doi.org/10.1109/scc53769.2021.9768363","url":null,"abstract":"The online monitoring of Oil-in-Water (OiW) concentration in dynamic flow-loops using UV-Fluorescence-based sensors is investigated. Though the OiW sensors can be carefully calibrated in the static condition, many dynamic flow conditions can still impact their real-time measurement. In order to examine the considered OiW sensor’s capability in handling dynamic flows, an extensive experimental study has been committed, which considers the following aspects, such as (i) different flow-loop configurations, e.g., standalone-loops and cyclone-in-loop; (ii) different online sampling mechanisms, e.g., (direct) in-line measurement and (indirect) side-stream measurement; (iii) different flow-rates of total stream or side-stream under different configurations and sampling mechanisms; (iv) impacts of air bubbles and pressure-pumps. The experimental results show that the considered OiW sensor can provide quite reasonable dynamic measurements in general. However this sensor’s measurement can be very sensitive to different flow regimes, impurities (incl. air) in the measured stream as well as upstream (nearby) operating conditions. These observations could inspire automation researchers and industrial operators to create some innovative sensor fusion method(s), to combine this OiW measurement with other available measurements in the produced water treatment processes for better control of the de-oiling hydrocyclone system.","PeriodicalId":365845,"journal":{"name":"2021 IEEE 2nd International Conference on Signal, Control and Communication (SCC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134233683","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 : 2021-12-20DOI: 10.1109/scc53769.2021.9768368
Santiago Pagola Moledo, Abhimanyu Rawat, A. Gurtov
Software-Defined Networking (SDN) is an emerging trend in networking that offers several advantages such as smoother network management over traditional networks. By decoupling the control and data planes from network elements, a huge amount of new opportunities arise, especially in network virtualization. In cloud datacenters, where virtualization plays a fundamental role, SDN presents itself as the perfect candidate to ease infrastructure management and to ensure correct operation. Even if the original SDN ideology advocates openness of source and interfaces, multiple networking vendors offer their proprietary solutions. In this work, an open-source SDN solution, named Tungsten Fabric, is evaluated in a virtualized datacenter and several SDN-related industry use-cases are examined. The main goal of this work is to determine whether Tungsten Fabric can deliver the same set of use-cases as proprietary solutions.
{"title":"Vendor-Independent Software-Defined Networking","authors":"Santiago Pagola Moledo, Abhimanyu Rawat, A. Gurtov","doi":"10.1109/scc53769.2021.9768368","DOIUrl":"https://doi.org/10.1109/scc53769.2021.9768368","url":null,"abstract":"Software-Defined Networking (SDN) is an emerging trend in networking that offers several advantages such as smoother network management over traditional networks. By decoupling the control and data planes from network elements, a huge amount of new opportunities arise, especially in network virtualization. In cloud datacenters, where virtualization plays a fundamental role, SDN presents itself as the perfect candidate to ease infrastructure management and to ensure correct operation. Even if the original SDN ideology advocates openness of source and interfaces, multiple networking vendors offer their proprietary solutions. In this work, an open-source SDN solution, named Tungsten Fabric, is evaluated in a virtualized datacenter and several SDN-related industry use-cases are examined. The main goal of this work is to determine whether Tungsten Fabric can deliver the same set of use-cases as proprietary solutions.","PeriodicalId":365845,"journal":{"name":"2021 IEEE 2nd International Conference on Signal, Control and Communication (SCC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114664854","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 : 2021-12-20DOI: 10.1109/scc53769.2021.9768359
Hajer Marzougui, Ameni Kadri, F. Bacha
To meet increasing demands for fuel, alternative vehicles have been developed recently. Electrical hybrid vehicles are one of these alternatives and an important part of them is their energy storage systems which are used to relieve the main source which is generally a fuel cell. To ensure energy storage, the supercapacitor is considered as an interesting device because of its high power density compared to batteries. The hybridization of the main source with another source like energy storage device allows to improve the dynamic response, especially, during transient states. However, it will be necessary to apply an energy management strategy to share the energy flow between sources responding to load demand. Besides, the proposed energy management algorithm must allow us to ensure optimum hydrogen consumption. In this context, this paper deals with an energy management strategy which is based on deterministic rules. Thus, it is called rule-based strategy and it is used to share the power flow in a hybrid electric vehicle powered by a fuel cell and a supercapacitor. Simulation results under Matlab-Simulink environment prove the efficiency of the proposed energy management algorithm.
{"title":"Rule-Based power sharing strategy for a fuel cell-supercapacitor vehicle","authors":"Hajer Marzougui, Ameni Kadri, F. Bacha","doi":"10.1109/scc53769.2021.9768359","DOIUrl":"https://doi.org/10.1109/scc53769.2021.9768359","url":null,"abstract":"To meet increasing demands for fuel, alternative vehicles have been developed recently. Electrical hybrid vehicles are one of these alternatives and an important part of them is their energy storage systems which are used to relieve the main source which is generally a fuel cell. To ensure energy storage, the supercapacitor is considered as an interesting device because of its high power density compared to batteries. The hybridization of the main source with another source like energy storage device allows to improve the dynamic response, especially, during transient states. However, it will be necessary to apply an energy management strategy to share the energy flow between sources responding to load demand. Besides, the proposed energy management algorithm must allow us to ensure optimum hydrogen consumption. In this context, this paper deals with an energy management strategy which is based on deterministic rules. Thus, it is called rule-based strategy and it is used to share the power flow in a hybrid electric vehicle powered by a fuel cell and a supercapacitor. Simulation results under Matlab-Simulink environment prove the efficiency of the proposed energy management algorithm.","PeriodicalId":365845,"journal":{"name":"2021 IEEE 2nd International Conference on Signal, Control and Communication (SCC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114094115","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 : 2021-12-20DOI: 10.1109/scc53769.2021.9768372
M. H. Pham, F. Noori, J. Tørresen
Identifying emotion from speech has a wide range of applications and has drawn special interests in research to improve the human-computer interaction experience. Traditional machine learning approaches usually face the challenge of selecting the optimal feature set for each application. Deep learning, on the other hand, allows end-to-end development of the models and inherent feature extraction. In this study, we evaluate the performance of Convolutional Neural Network on different kinds of spectral features of acoustic signal collections, from two popular open databases Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS) and Berlin Database of Emotional Speech (EmoDB). Two-to-eight classes of emotions (RAVDESS) and two-to-seven classes of emotions (EmoDB) are identified by the deep learning model. The results, in terms of unweighted average recall, are 0.888 (two classes) and 0.694 (eight classes) for the RAVDESS dataset. The corresponding results for the EmoDB dataset are 0.993 (two classes) and 0.764 (seven classes)
{"title":"Emotion Recognition using Speech Data with Convolutional Neural Network","authors":"M. H. Pham, F. Noori, J. Tørresen","doi":"10.1109/scc53769.2021.9768372","DOIUrl":"https://doi.org/10.1109/scc53769.2021.9768372","url":null,"abstract":"Identifying emotion from speech has a wide range of applications and has drawn special interests in research to improve the human-computer interaction experience. Traditional machine learning approaches usually face the challenge of selecting the optimal feature set for each application. Deep learning, on the other hand, allows end-to-end development of the models and inherent feature extraction. In this study, we evaluate the performance of Convolutional Neural Network on different kinds of spectral features of acoustic signal collections, from two popular open databases Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS) and Berlin Database of Emotional Speech (EmoDB). Two-to-eight classes of emotions (RAVDESS) and two-to-seven classes of emotions (EmoDB) are identified by the deep learning model. The results, in terms of unweighted average recall, are 0.888 (two classes) and 0.694 (eight classes) for the RAVDESS dataset. The corresponding results for the EmoDB dataset are 0.993 (two classes) and 0.764 (seven classes)","PeriodicalId":365845,"journal":{"name":"2021 IEEE 2nd International Conference on Signal, Control and Communication (SCC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125546066","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 : 2021-12-20DOI: 10.1109/scc53769.2021.9768356
Gharbi Abdelaziz, Hamdi Hichem, Ben Regaya Chiheb, Gharbi Rached
Photovoltaic modules are very sensitive to the reduction of solar irradiation due to shading. Shading can be caused by a fixed obstacle (wall, tree or even a simple pillar) or in case of circumstantial events (cloudy sky or covered with heavy smoke or dust). In order to illustrate the influence of shading on the behaviour of a photovoltaic device, a study using MatLab Simulink was carried out on a polycrystalline silicon module YL250P29. The degradation of the incident solar irradiation on a single cell of the photovoltaic panel leads to a considerable decrease in the power produced by the system (about 1/3 in the case of a fully shaded cell). We have monitored the behaviour of the bypass diode, and the pivotal role it plays in preserving the series of cells adjacent to the affected one and ensuring a reasonable rate of output.
{"title":"Shading effect on the performance of a photovoltaic panel","authors":"Gharbi Abdelaziz, Hamdi Hichem, Ben Regaya Chiheb, Gharbi Rached","doi":"10.1109/scc53769.2021.9768356","DOIUrl":"https://doi.org/10.1109/scc53769.2021.9768356","url":null,"abstract":"Photovoltaic modules are very sensitive to the reduction of solar irradiation due to shading. Shading can be caused by a fixed obstacle (wall, tree or even a simple pillar) or in case of circumstantial events (cloudy sky or covered with heavy smoke or dust). In order to illustrate the influence of shading on the behaviour of a photovoltaic device, a study using MatLab Simulink was carried out on a polycrystalline silicon module YL250P29. The degradation of the incident solar irradiation on a single cell of the photovoltaic panel leads to a considerable decrease in the power produced by the system (about 1/3 in the case of a fully shaded cell). We have monitored the behaviour of the bypass diode, and the pivotal role it plays in preserving the series of cells adjacent to the affected one and ensuring a reasonable rate of output.","PeriodicalId":365845,"journal":{"name":"2021 IEEE 2nd International Conference on Signal, Control and Communication (SCC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125686910","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 : 2021-12-20DOI: 10.1109/scc53769.2021.9768352
Ramzi Bouzaiene, S. Hafsi, F. Bouani
In this paper, we are interested in adaptive neural PID control with a reference model for nonlinear systems. A recurrent neural network architecture is studied, and its parameters are computed to mimic a conventional PID controller. Two neural networks architectures, Feed Forward Neural Network (FFNN) and Recurrent Neural Network (RNN) are used for modeling nonlinear systems. To avoid the errors of the Jacobian system approximation, it is best to model the system with a neural network called an emulator. By adding an emulator in parallel with the dynamic system model, the emulator will be trained to learn the dynamics of the system.The back-propagation method is used as the basis for developing algorithms capable of modeling and controlling our nonlinear systems.
{"title":"Adaptive neural network PID controller for nonlinear systems","authors":"Ramzi Bouzaiene, S. Hafsi, F. Bouani","doi":"10.1109/scc53769.2021.9768352","DOIUrl":"https://doi.org/10.1109/scc53769.2021.9768352","url":null,"abstract":"In this paper, we are interested in adaptive neural PID control with a reference model for nonlinear systems. A recurrent neural network architecture is studied, and its parameters are computed to mimic a conventional PID controller. Two neural networks architectures, Feed Forward Neural Network (FFNN) and Recurrent Neural Network (RNN) are used for modeling nonlinear systems. To avoid the errors of the Jacobian system approximation, it is best to model the system with a neural network called an emulator. By adding an emulator in parallel with the dynamic system model, the emulator will be trained to learn the dynamics of the system.The back-propagation method is used as the basis for developing algorithms capable of modeling and controlling our nonlinear systems.","PeriodicalId":365845,"journal":{"name":"2021 IEEE 2nd International Conference on Signal, Control and Communication (SCC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125959722","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 : 2021-12-20DOI: 10.1109/scc53769.2021.9768344
L. Fekih-Ahmed
A new CMOS wide linear range fully-differential transconductor is proposed. The transconductor employs 5 unbalanced differential pairs with transistor aspect ratios chosen optimally using Padé-type approximation theory. It achieves a linear range of 86mV for a voltage supply of 1V. The total harmonic distortion does not exceed 2% for peak to peak voltages as high as 0.2V and frequencies as high as 1MHz. Monte Carlo simulations revealed that the linear range of the suggested transconductor is not prone to parameter variations.
{"title":"A Low-Power Maximally-Flat Transconductor in Subthreshold CMOS","authors":"L. Fekih-Ahmed","doi":"10.1109/scc53769.2021.9768344","DOIUrl":"https://doi.org/10.1109/scc53769.2021.9768344","url":null,"abstract":"A new CMOS wide linear range fully-differential transconductor is proposed. The transconductor employs 5 unbalanced differential pairs with transistor aspect ratios chosen optimally using Padé-type approximation theory. It achieves a linear range of 86mV for a voltage supply of 1V. The total harmonic distortion does not exceed 2% for peak to peak voltages as high as 0.2V and frequencies as high as 1MHz. Monte Carlo simulations revealed that the linear range of the suggested transconductor is not prone to parameter variations.","PeriodicalId":365845,"journal":{"name":"2021 IEEE 2nd International Conference on Signal, Control and Communication (SCC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128745701","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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