Rabah Daouadi, Fares Zaamouche, Moussa Attia, Ala Houam
{"title":"Sensorless Field Oriented Control Applied for an Induction Machine by Using the Discontinuous PWM Strategy","authors":"Rabah Daouadi, Fares Zaamouche, Moussa Attia, Ala Houam","doi":"10.18280/ejee.250102","DOIUrl":"https://doi.org/10.18280/ejee.250102","url":null,"abstract":"","PeriodicalId":340029,"journal":{"name":"European Journal of Electrical Engineering","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126828402","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}
{"title":"Intelligent FOPID and LQR Control for Adaptive a Quarter Vehicle Suspension System","authors":"Zineb Boulaaras, Abdelaziz Aouiche, K. Chafaa","doi":"10.18280/ejee.250101","DOIUrl":"https://doi.org/10.18280/ejee.250101","url":null,"abstract":"","PeriodicalId":340029,"journal":{"name":"European Journal of Electrical Engineering","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127743305","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}
{"title":"Optimal Energy Tracking in a Solar Power System Utilizing Synthetic Neural Network","authors":"A. Ourici, Bahi Abderaouf","doi":"10.18280/ejee.250201","DOIUrl":"https://doi.org/10.18280/ejee.250201","url":null,"abstract":"ABSTRACT","PeriodicalId":340029,"journal":{"name":"European Journal of Electrical Engineering","volume":"351 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115983884","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}
Aouiche Abdelaziz, Aouiche El Moundher, Aouiche Chaima, Djellab Hanane
A photovoltaic (PV) panel produces energy that is influenced by external factors including temperature, irradiation, and the fluctuations in the load related to it. The PV system should perform at maximum power point (MPP) in order to adjust towards the rapidly increasing interest in energy. Because of the changing climatic conditions, it becomes has a limited efficiency. In order to maximize the PV system's efficiency, a maximum power point technique is necessary. In the present paper a maximum power point (MPP) of photovoltaic (PV) panel is designed and simulated to optimize system performance, accurate synthesis model based on the hybrid neural fuzzy systems is proposed to directly obtain the MPP. So, photovoltaic panel (PV) is analyzed with the mathematical model to obtain the training data. Three cases were used to test the identification of the structure proposed. The results show neuro-fuzzy (Sugeno Model) used were efficient in modeling the MPP of our PV panel. The Mean square error (MSE) is used as the fitness function to guarantee that the MSE is small, the algorithm synthesis model is validated by the MPP PV Panel analysis, simulation, and measurements. Neuro-fuzzy models is presented throughout this paper to demonstrate the effectiveness of the method of training suggested.
{"title":"Identification of Photovoltaic Panel MPPT Using Neuro-Fuzzy Model","authors":"Aouiche Abdelaziz, Aouiche El Moundher, Aouiche Chaima, Djellab Hanane","doi":"10.18280/ejee.245-606","DOIUrl":"https://doi.org/10.18280/ejee.245-606","url":null,"abstract":"A photovoltaic (PV) panel produces energy that is influenced by external factors including temperature, irradiation, and the fluctuations in the load related to it. The PV system should perform at maximum power point (MPP) in order to adjust towards the rapidly increasing interest in energy. Because of the changing climatic conditions, it becomes has a limited efficiency. In order to maximize the PV system's efficiency, a maximum power point technique is necessary. In the present paper a maximum power point (MPP) of photovoltaic (PV) panel is designed and simulated to optimize system performance, accurate synthesis model based on the hybrid neural fuzzy systems is proposed to directly obtain the MPP. So, photovoltaic panel (PV) is analyzed with the mathematical model to obtain the training data. Three cases were used to test the identification of the structure proposed. The results show neuro-fuzzy (Sugeno Model) used were efficient in modeling the MPP of our PV panel. The Mean square error (MSE) is used as the fitness function to guarantee that the MSE is small, the algorithm synthesis model is validated by the MPP PV Panel analysis, simulation, and measurements. Neuro-fuzzy models is presented throughout this paper to demonstrate the effectiveness of the method of training suggested.","PeriodicalId":340029,"journal":{"name":"European Journal of Electrical Engineering","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132648222","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}
Ala Houam, Fares Zaamouche, Rabah Daouadi, Moussa Attia
Due to the high efficiency, high power density and low EMI provided by the LLc resonant converter, it has been widely used by researchers in many fields such as induction heating (IH). This converter is based on a resonant circuit consisting of a capacitor (Cr) and two inductors Lr, Lm operating in wide output load regulating ranges for the purpose of achieving good efficiency for very high power systems using a high operating frequency. This paper aims to present a half-bridge LLC resonant converter based on power supplies for IH applications. The analysis contains five components: half bridge inverter, resonant tank, high frequency transformer, rectifier and coil. The switching bridge generates a square waveform to excite the LLC resonant tank, which will produce a resonant sinusoidal current which is transferred to the secondary of the converter through a high-frequency transformer. as it scales the voltage up or down according to the output requirements. The load represented by the equivalent circuit of the coil and work-piece is fed by the current transformed by the rectifiers. This paper provides an improved knowledge of the control of the output power for high-temperature applications through numerical simulation Considering that the load parameters and resonant frequency vary substantially throughout the system operation. The results of testing demonstrated that the proposed scheme and assembly has good efficiency, and it is well suited for magnetic induction heating systems.
{"title":"Efficiency Considerations of LLC Resonant Converter for Induction Heating Application","authors":"Ala Houam, Fares Zaamouche, Rabah Daouadi, Moussa Attia","doi":"10.18280/ejee.245-604","DOIUrl":"https://doi.org/10.18280/ejee.245-604","url":null,"abstract":"Due to the high efficiency, high power density and low EMI provided by the LLc resonant converter, it has been widely used by researchers in many fields such as induction heating (IH). This converter is based on a resonant circuit consisting of a capacitor (Cr) and two inductors Lr, Lm operating in wide output load regulating ranges for the purpose of achieving good efficiency for very high power systems using a high operating frequency. This paper aims to present a half-bridge LLC resonant converter based on power supplies for IH applications. The analysis contains five components: half bridge inverter, resonant tank, high frequency transformer, rectifier and coil. The switching bridge generates a square waveform to excite the LLC resonant tank, which will produce a resonant sinusoidal current which is transferred to the secondary of the converter through a high-frequency transformer. as it scales the voltage up or down according to the output requirements. The load represented by the equivalent circuit of the coil and work-piece is fed by the current transformed by the rectifiers. This paper provides an improved knowledge of the control of the output power for high-temperature applications through numerical simulation Considering that the load parameters and resonant frequency vary substantially throughout the system operation. The results of testing demonstrated that the proposed scheme and assembly has good efficiency, and it is well suited for magnetic induction heating systems.","PeriodicalId":340029,"journal":{"name":"European Journal of Electrical Engineering","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129340581","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}
M. Jebli, T. Martiré, J. Laurentie, G. Pellecuer, L. Boyer, J. Castellon
One of the main issues on high voltage direct current (HVDC) cable is the electric field distribution on the insulation induced by space charges accumulation. Indeed, the space charges can cause a local increase of the electric field, which will accelerate ageing and may lead to dielectric breakdown. The TSM is one of the techniques that allow space charge measurements. The principle of the TSM consists in disturbing the electrostatic balance of the cable insulation system using a short thermal stimulus. For this study, the thermal pulse is created by Joule effect. This paper describes the structural optimization of a multi-cell DC-DC converter and its use in a high-current application to produce thermal stimulus. The design of the converter is first presented, then a multi-objective optimization is proposed for minimizing volume and losses. Finally, experimental results using a converter prototype which confirmed the space charge measurement principle are presented.
{"title":"Development of Multicellular Converter with Magnetic Coupler for Space Charge Measurement on DC Cable","authors":"M. Jebli, T. Martiré, J. Laurentie, G. Pellecuer, L. Boyer, J. Castellon","doi":"10.18280/ejee.245-601","DOIUrl":"https://doi.org/10.18280/ejee.245-601","url":null,"abstract":"One of the main issues on high voltage direct current (HVDC) cable is the electric field distribution on the insulation induced by space charges accumulation. Indeed, the space charges can cause a local increase of the electric field, which will accelerate ageing and may lead to dielectric breakdown. The TSM is one of the techniques that allow space charge measurements. The principle of the TSM consists in disturbing the electrostatic balance of the cable insulation system using a short thermal stimulus. For this study, the thermal pulse is created by Joule effect. This paper describes the structural optimization of a multi-cell DC-DC converter and its use in a high-current application to produce thermal stimulus. The design of the converter is first presented, then a multi-objective optimization is proposed for minimizing volume and losses. Finally, experimental results using a converter prototype which confirmed the space charge measurement principle are presented.","PeriodicalId":340029,"journal":{"name":"European Journal of Electrical Engineering","volume":"517 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115350215","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}
Chaouki Melkia, S. Ghoudelbourk, Y. Soufi, Mahmoud Maamri, Mebarka Bayoud
In this paper, we proposed, modelled, and then simulated a standalone photovoltaic system with storage composed of conventional batteries and a Supercapacitor was added to the storage unit in order to create hybrid storage sources (batteries and Supercapacitor), and to better relieve the batteries during peak power. And reduce stress on the batteries by avoiding deep discharges. This study includes, on the one hand, a MPPT (Maximum Power Point Tracking) algorithm integrated to the control of this converter allowing the photovoltaic panels to operate according to their optimal nominal voltage, thus providing the maximum power. On the other hand, efficient global management allows the system to offer optimal performance.
{"title":"Battery-Supercapacitor Hybrid Energy Storage Systems for Stand-Alone Photovoltaic","authors":"Chaouki Melkia, S. Ghoudelbourk, Y. Soufi, Mahmoud Maamri, Mebarka Bayoud","doi":"10.18280/ejee.245-605","DOIUrl":"https://doi.org/10.18280/ejee.245-605","url":null,"abstract":"In this paper, we proposed, modelled, and then simulated a standalone photovoltaic system with storage composed of conventional batteries and a Supercapacitor was added to the storage unit in order to create hybrid storage sources (batteries and Supercapacitor), and to better relieve the batteries during peak power. And reduce stress on the batteries by avoiding deep discharges. This study includes, on the one hand, a MPPT (Maximum Power Point Tracking) algorithm integrated to the control of this converter allowing the photovoltaic panels to operate according to their optimal nominal voltage, thus providing the maximum power. On the other hand, efficient global management allows the system to offer optimal performance.","PeriodicalId":340029,"journal":{"name":"European Journal of Electrical Engineering","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115460021","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}
Moussa Attia, Fares Zaamouche, Ala Houam, Rabah Daouadi
This study of modifying the frame forces of an electric vehicle offers benefits for controlling stability. We used a two-wheeled self-driving electric vehicle in this study. Taking into account important parameters such as vehicle speed, the vehicle's stability criterion is determined based on the torque level and lateral slip angle. It is equipped with a traction control system that integrates its dynamic system with a sporty design. This level of control improves the vehicle's stability and safety. A conventional regulator has been developed and trained to apply motor control to a sophisticated power supply system. The stability of the EVs was controlled by a simulation model. We validated the proposed stability criterion, and the wheel torque control algorithm. Stability control for two-wheeled autonomous vehicles can be developed on the basis of related research. We would like to stress that the controller can be used in a variety of modern electric vehicles because it is so easy to use. An overview of the modeling and simulation results for this system in the MATLAB-Simulink environment will be presented.
{"title":"Stability Control Modeling and Simulation Strategy for an Electric Vehicle Using Two Separate Wheel Drives","authors":"Moussa Attia, Fares Zaamouche, Ala Houam, Rabah Daouadi","doi":"10.18280/ejee.245-602","DOIUrl":"https://doi.org/10.18280/ejee.245-602","url":null,"abstract":"This study of modifying the frame forces of an electric vehicle offers benefits for controlling stability. We used a two-wheeled self-driving electric vehicle in this study. Taking into account important parameters such as vehicle speed, the vehicle's stability criterion is determined based on the torque level and lateral slip angle. It is equipped with a traction control system that integrates its dynamic system with a sporty design. This level of control improves the vehicle's stability and safety. A conventional regulator has been developed and trained to apply motor control to a sophisticated power supply system. The stability of the EVs was controlled by a simulation model. We validated the proposed stability criterion, and the wheel torque control algorithm. Stability control for two-wheeled autonomous vehicles can be developed on the basis of related research. We would like to stress that the controller can be used in a variety of modern electric vehicles because it is so easy to use. An overview of the modeling and simulation results for this system in the MATLAB-Simulink environment will be presented.","PeriodicalId":340029,"journal":{"name":"European Journal of Electrical Engineering","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115459098","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}
Oussama Belaroussi, A. Terki, A. Ammar, Kalinin Vyaslav Fedorovich
{"title":"Developing and Implementing the Performance of Induction Motors Used in Well Pumping Systems","authors":"Oussama Belaroussi, A. Terki, A. Ammar, Kalinin Vyaslav Fedorovich","doi":"10.18280/ejee.245-603","DOIUrl":"https://doi.org/10.18280/ejee.245-603","url":null,"abstract":"","PeriodicalId":340029,"journal":{"name":"European Journal of Electrical Engineering","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122908264","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}
Today, energy storage systems are strongly present both in industry and for individual applications, especially in on-board systems where an autonomous source of energy is required for power. Energy needs as well as the search for efficient means for its storage have become a very important research axis. Solar battery storage allows to store electricity generated from the sun via solar panels to ensure power supply in all circumstances (day or night, clear or overcast sky). This work focuses on modeling and dynamic simulation of a photovoltaic system with a Lithium Ion battery storage system (LI-BSS). Battery charge and discharge is performed using PWM current and voltage controllers using DC/DC bidirectional management converter BMC.
{"title":"Battery Storage System Design Using PWM Current and Voltage Controllers","authors":"N. B. S. Ali, S. Ghoudelbourk, N. Zerzouri","doi":"10.18280/ejee.240404","DOIUrl":"https://doi.org/10.18280/ejee.240404","url":null,"abstract":"Today, energy storage systems are strongly present both in industry and for individual applications, especially in on-board systems where an autonomous source of energy is required for power. Energy needs as well as the search for efficient means for its storage have become a very important research axis. Solar battery storage allows to store electricity generated from the sun via solar panels to ensure power supply in all circumstances (day or night, clear or overcast sky). This work focuses on modeling and dynamic simulation of a photovoltaic system with a Lithium Ion battery storage system (LI-BSS). Battery charge and discharge is performed using PWM current and voltage controllers using DC/DC bidirectional management converter BMC.","PeriodicalId":340029,"journal":{"name":"European Journal of Electrical Engineering","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122565392","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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