Pub Date : 2017-05-01DOI: 10.1109/ICOSC.2017.7958689
S. Ladjouzi, S. Grouni, Mustapha Djebiri, Y. Soufi
This paper focuses on a proposed Maximum Power Point Tracking (MPPT) methodology based on artificial neural network (ANN) scheme. The proposed MPPT strategy uses an ANN as a controller that provides optimum wind-energy acquisition in variable speed case. The ANN training is done according to the data possession obtained by the different equations establishing the model of the wind turbine in the optimal case. The effectiveness of the proposed approach is verified by simulation on a wind turbine system.
{"title":"A neural MPPT approach for a wind turbine","authors":"S. Ladjouzi, S. Grouni, Mustapha Djebiri, Y. Soufi","doi":"10.1109/ICOSC.2017.7958689","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958689","url":null,"abstract":"This paper focuses on a proposed Maximum Power Point Tracking (MPPT) methodology based on artificial neural network (ANN) scheme. The proposed MPPT strategy uses an ANN as a controller that provides optimum wind-energy acquisition in variable speed case. The ANN training is done according to the data possession obtained by the different equations establishing the model of the wind turbine in the optimal case. The effectiveness of the proposed approach is verified by simulation on a wind turbine system.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125875818","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 : 2017-05-01DOI: 10.1109/ICOSC.2017.7958688
A. Ghodbane, M. Saad
Modern avionic systems are still designed based only on the sensors' measurements, without considering actuator fault scenarios. Acting on several control surfaces, actuators are considered as critical components and therefore, failed actuators can lead to undesirable consequences as degrade performances or even loss of stability during flight. To handle this problem, actuator hardware redundancy has been used for many years ago. However, this technique is expensive and involves increased weight and space. Therefore, new control approaches, based on the online actuator fault diagnosis and fault effect compensation, are developed to deal with these disadvantages. These approaches are known in the literature as fault-tolerant flight control systems. In this paper, a fault-tolerant flight control system is designed and applied to the linear lateral motion of the Boeing 747. Numerical simulations are performed to compare its performance and effectiveness with existing approaches. FlightGear software simulator is used to show the behavior of the aircraft on a graphical user interface.
{"title":"Active fault-tolerant control system vs Model Reference Adaptive Control system: Performance comparison on flight systems","authors":"A. Ghodbane, M. Saad","doi":"10.1109/ICOSC.2017.7958688","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958688","url":null,"abstract":"Modern avionic systems are still designed based only on the sensors' measurements, without considering actuator fault scenarios. Acting on several control surfaces, actuators are considered as critical components and therefore, failed actuators can lead to undesirable consequences as degrade performances or even loss of stability during flight. To handle this problem, actuator hardware redundancy has been used for many years ago. However, this technique is expensive and involves increased weight and space. Therefore, new control approaches, based on the online actuator fault diagnosis and fault effect compensation, are developed to deal with these disadvantages. These approaches are known in the literature as fault-tolerant flight control systems. In this paper, a fault-tolerant flight control system is designed and applied to the linear lateral motion of the Boeing 747. Numerical simulations are performed to compare its performance and effectiveness with existing approaches. FlightGear software simulator is used to show the behavior of the aircraft on a graphical user interface.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"188 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122354654","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 : 2017-05-01DOI: 10.1109/ICOSC.2017.7958687
Abass Kihel, F. Krim, Abdelbaset Laib
in this paper, an integral sliding mode control method is proposed for maximum power point tracking MPPT voltage oriented loop. The aim is to obtain a better performance when applying it to stand alone. The proposed technique is studied and simulated by using Matlab/Simulink and simpower system packages. The obtained simulation results display significant enhancements by applying the proposed method compared to the conventional P&O and Voltage oriented loop based PI controller methods in term of accuracy and oscillations around MPP it. This could help with decreasing the power losses.
{"title":"MPPT voltage oriented loop based on integral sliding mode control applied to the boost converter","authors":"Abass Kihel, F. Krim, Abdelbaset Laib","doi":"10.1109/ICOSC.2017.7958687","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958687","url":null,"abstract":"in this paper, an integral sliding mode control method is proposed for maximum power point tracking MPPT voltage oriented loop. The aim is to obtain a better performance when applying it to stand alone. The proposed technique is studied and simulated by using Matlab/Simulink and simpower system packages. The obtained simulation results display significant enhancements by applying the proposed method compared to the conventional P&O and Voltage oriented loop based PI controller methods in term of accuracy and oscillations around MPP it. This could help with decreasing the power losses.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"209 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122450064","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 : 2017-05-01DOI: 10.1109/ICOSC.2017.7958727
Marwa Elloumi, M. Ghamgui, D. Mehdi, M. Chaabane
This paper tackles the problem of stability and robust stability of 2D discrete Fornasini-Marchesini (FM) model with multiplicative noise. First, we establish a mean-square asymptotic stability by using the Leibniz-Newton formula with additional free weighting matrices. Based on this stability criterion, which is expressed through Linear Matrix Inequality, we investigate the robust stability for 2D discrete Fornasini-Marchesini (FM) model with multiplicative noise with norm-bounded uncertain matrix. To illustrate the effectiveness of the proposed approach, simulation examples are given.
{"title":"Stability and robust stability of 2D discrete Fornasini-Marchesini model with multiplicative noise","authors":"Marwa Elloumi, M. Ghamgui, D. Mehdi, M. Chaabane","doi":"10.1109/ICOSC.2017.7958727","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958727","url":null,"abstract":"This paper tackles the problem of stability and robust stability of 2D discrete Fornasini-Marchesini (FM) model with multiplicative noise. First, we establish a mean-square asymptotic stability by using the Leibniz-Newton formula with additional free weighting matrices. Based on this stability criterion, which is expressed through Linear Matrix Inequality, we investigate the robust stability for 2D discrete Fornasini-Marchesini (FM) model with multiplicative noise with norm-bounded uncertain matrix. To illustrate the effectiveness of the proposed approach, simulation examples are given.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122884331","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 : 2017-05-01DOI: 10.1109/ICOSC.2017.7958708
Salama Makni, M. Bouattour, M. Chaabane, A. Hajjaji
In this work, we study the detection and estimation problem of sensor and actuator faults (SAF) for nonlinear systems represented by Takagi-Sugeno (T-S) fuzzy models subject to an Unknown Bounded Disturbance (UBD). Simultaneously, we study the estimation of the states. To do this, we design an adaptive descriptor observer to jointly estimate state and SAF vectors. This observer not only lead to estimate the actuator fault, but also to improve the performance of fault estimation. To prove the existence of this observer, two sufficient conditions are deduced in form of Linear Matrix Inequalities (LMIs) using Lyapunov theory. A robustness to disturbance is elaborated by considering the H∞ performance. Finally, a numerical example and simulation results are afforded to prove the mentioned process efficiency.
{"title":"Robust adaptive observer design for fast fault estimation for nonlinear T-S fuzzy systems using descriptor approach","authors":"Salama Makni, M. Bouattour, M. Chaabane, A. Hajjaji","doi":"10.1109/ICOSC.2017.7958708","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958708","url":null,"abstract":"In this work, we study the detection and estimation problem of sensor and actuator faults (SAF) for nonlinear systems represented by Takagi-Sugeno (T-S) fuzzy models subject to an Unknown Bounded Disturbance (UBD). Simultaneously, we study the estimation of the states. To do this, we design an adaptive descriptor observer to jointly estimate state and SAF vectors. This observer not only lead to estimate the actuator fault, but also to improve the performance of fault estimation. To prove the existence of this observer, two sufficient conditions are deduced in form of Linear Matrix Inequalities (LMIs) using Lyapunov theory. A robustness to disturbance is elaborated by considering the H∞ performance. Finally, a numerical example and simulation results are afforded to prove the mentioned process efficiency.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131179509","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 : 2017-05-01DOI: 10.1109/ICOSC.2017.7958682
Karim Kaced, C. Larbes, S. Chikh, M. Bounabi, Z. Dahmane
This paper presents a Field Programmable Gate Array (FPGA) implementation of Particle Swarm Optimisation (PSO) algorithm for maximum power point tracking (MPPT). The PSO method is very effective to handle the multimodal power-voltage (P-V) curve under partial shading conditions and presents several advantages such as simple structure and good dynamic performances. The PSO method has been designed using the very high-speed description language (VHDL) and implemented on Xilinx Virtex5 (XC5VLX50-1FFG676) FPGA. The use of FPGA offers a high degree of flexibility and robustness for the MPPT algorithm. The simulations results demonstrate the accuracy of PSO for global peak tracking and its superiority over the Perturb and Observe (P&O) technique. The developed architecture is tested in real time application on a buck-boost converter. Experimental results confirm the efficiency of the proposed scheme and its high accuracy to handle the partial shading.
{"title":"FPGA implementation of PSO based MPPT for PV systems under partial shading conditions","authors":"Karim Kaced, C. Larbes, S. Chikh, M. Bounabi, Z. Dahmane","doi":"10.1109/ICOSC.2017.7958682","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958682","url":null,"abstract":"This paper presents a Field Programmable Gate Array (FPGA) implementation of Particle Swarm Optimisation (PSO) algorithm for maximum power point tracking (MPPT). The PSO method is very effective to handle the multimodal power-voltage (P-V) curve under partial shading conditions and presents several advantages such as simple structure and good dynamic performances. The PSO method has been designed using the very high-speed description language (VHDL) and implemented on Xilinx Virtex5 (XC5VLX50-1FFG676) FPGA. The use of FPGA offers a high degree of flexibility and robustness for the MPPT algorithm. The simulations results demonstrate the accuracy of PSO for global peak tracking and its superiority over the Perturb and Observe (P&O) technique. The developed architecture is tested in real time application on a buck-boost converter. Experimental results confirm the efficiency of the proposed scheme and its high accuracy to handle the partial shading.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115550973","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 : 2017-05-01DOI: 10.1109/ICOSC.2017.7958737
Jihane Kartite, M. Cherkaoui
this article explains a methodology for optimal sizing of hybrid PV/Wind battery system. The methodology is based on Loss of Power Supply Probability (LPSP) concept and Annual System Cost (ASC). First the Annual System Cost is optimized using Backtracking search algorithm. Afterward the influence of the load profile on the LPSP is simulated.
{"title":"Optimal sizing of hybrid renewable PV/Wind battery system using LPSP methods","authors":"Jihane Kartite, M. Cherkaoui","doi":"10.1109/ICOSC.2017.7958737","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958737","url":null,"abstract":"this article explains a methodology for optimal sizing of hybrid PV/Wind battery system. The methodology is based on Loss of Power Supply Probability (LPSP) concept and Annual System Cost (ASC). First the Annual System Cost is optimized using Backtracking search algorithm. Afterward the influence of the load profile on the LPSP is simulated.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115436969","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 : 2017-05-01DOI: 10.1109/ICOSC.2017.7958679
K. Imarazene, Y. S. A. Khodja, C. Rouabhia, E. Berkouk, H. Chekireb
This paper describes the control by the selective harmonics elimination PWM of three level inverter using FPGA device. The NPC inverter is realized with six similar modules type Mitsubishi. Each one contains two bi-directional IGBTs. To control the four semi-conductors of each leg, switching angles allowing the elimination of the 5th, 7th and the 11th harmonic have been computed basis on the SHEPWM using Newton-Raphson method. The generation of the gate signals is carried out with FPGA device type SPARTAN-3E. The device is configured using VHDL language and ModelSim to verify the correctness of the developed program. Experimental results are presented validates the proposed circuit.
{"title":"FPGA-based control of three-level inverter using Selective Harmonics Elimination PWM","authors":"K. Imarazene, Y. S. A. Khodja, C. Rouabhia, E. Berkouk, H. Chekireb","doi":"10.1109/ICOSC.2017.7958679","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958679","url":null,"abstract":"This paper describes the control by the selective harmonics elimination PWM of three level inverter using FPGA device. The NPC inverter is realized with six similar modules type Mitsubishi. Each one contains two bi-directional IGBTs. To control the four semi-conductors of each leg, switching angles allowing the elimination of the 5th, 7th and the 11th harmonic have been computed basis on the SHEPWM using Newton-Raphson method. The generation of the gate signals is carried out with FPGA device type SPARTAN-3E. The device is configured using VHDL language and ModelSim to verify the correctness of the developed program. Experimental results are presented validates the proposed circuit.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"41 1046 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123435078","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 : 2017-05-01DOI: 10.1109/ICOSC.2017.7958734
Amar Ben Makhloufi, Mustapha Hatti, R. Taleb
Energy storage remains a strategic challenge in energy control. The world is turning to decentralized generators, including fuel cell systems, which use hydrogen as fuel. This gives a special interest to the system of storage of the hydrogen produced mainly by the solar energy. The electrolyzer becomes the most prominent device, but its disadvantage is that it requires a lot of electrical energy. This present paper deals with controlling the power emanating from the photovoltaic system and consumed by the electrolyzer, through the use of neural networks to optimize the power generated by the photovoltaic system. In this work, we will compare between two types of converters Cuk and SEPIC because they are the most widely used and are two of the developed family of the converter. This paper presents under MATLAB/Simulink the use of Cuk converter with maximum power point tracking (MPPT) technology, to increase its efficiency by an algorithm Perturb and Observe (P&O) and incremental conductance method, then we will apply artificial neural network (ANN) to avoid the disadvantages of MPPT Classical. The MPPT developed with the artificial neural networks presents a better behavior than the classic system Perturb & Observe.
{"title":"Comparative study of photovoltaic system for hydrogen electrolyzer system","authors":"Amar Ben Makhloufi, Mustapha Hatti, R. Taleb","doi":"10.1109/ICOSC.2017.7958734","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958734","url":null,"abstract":"Energy storage remains a strategic challenge in energy control. The world is turning to decentralized generators, including fuel cell systems, which use hydrogen as fuel. This gives a special interest to the system of storage of the hydrogen produced mainly by the solar energy. The electrolyzer becomes the most prominent device, but its disadvantage is that it requires a lot of electrical energy. This present paper deals with controlling the power emanating from the photovoltaic system and consumed by the electrolyzer, through the use of neural networks to optimize the power generated by the photovoltaic system. In this work, we will compare between two types of converters Cuk and SEPIC because they are the most widely used and are two of the developed family of the converter. This paper presents under MATLAB/Simulink the use of Cuk converter with maximum power point tracking (MPPT) technology, to increase its efficiency by an algorithm Perturb and Observe (P&O) and incremental conductance method, then we will apply artificial neural network (ANN) to avoid the disadvantages of MPPT Classical. The MPPT developed with the artificial neural networks presents a better behavior than the classic system Perturb & Observe.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130116142","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 : 2017-05-01DOI: 10.1109/ICOSC.2017.7958699
S. Bazi, R. Benzid, M. N. Said
In this paper, both Firefly Algorithm (FA) and Genetic Algorithm (GA) are used to tune the PI controller parameters in PMSM servo system. Consequently, these algorithms are involved to find the optimized proportional-integral (PI) gains by minimizing the time domain cost function. Comparing (FA) and (GA) based controllers, it can be remarked that the first one is better than the last one which allows us to conclude that (FA) is more suitable for parameters optimization of a (PI) controller.
{"title":"Optimum PI controller design in PMSM using Firefly Algorithm and Genetic Algorithm","authors":"S. Bazi, R. Benzid, M. N. Said","doi":"10.1109/ICOSC.2017.7958699","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958699","url":null,"abstract":"In this paper, both Firefly Algorithm (FA) and Genetic Algorithm (GA) are used to tune the PI controller parameters in PMSM servo system. Consequently, these algorithms are involved to find the optimized proportional-integral (PI) gains by minimizing the time domain cost function. Comparing (FA) and (GA) based controllers, it can be remarked that the first one is better than the last one which allows us to conclude that (FA) is more suitable for parameters optimization of a (PI) controller.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127300216","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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