Pub Date : 2017-05-01DOI: 10.1109/ICOSC.2017.7958661
A. Hamache, M. O. Bensidhoum, H. Chekireb, A. Ouslimani
This article presents a Sliding Mode Observer based Fault Tolerant Control (SMOFTC) applied to a Unified Power Flow Controller (UPFC) to achieve rapid and finite time reference signal tracking of power flow in presence of actuator faults. SMOFTC is a nonlinear control based on a Sliding Mode Observer (SMO), the Lyapunov stability and variable structure control theories to compensate for actuator faults. In this article, we first establish a state space complete dynamic model of UPFC based on Kirchhoff equations and (d-q) transformation, and then SMOFTC law is developed for the UPFC system. The proposed control is validated via a detailed simulation on a two bus system. Simulation results show power, effectiveness, robustness and accuracy of the proposed controller.
{"title":"Sliding Mode Observer based Fault Tolerant Controller of UPFC for power flow tracking","authors":"A. Hamache, M. O. Bensidhoum, H. Chekireb, A. Ouslimani","doi":"10.1109/ICOSC.2017.7958661","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958661","url":null,"abstract":"This article presents a Sliding Mode Observer based Fault Tolerant Control (SMOFTC) applied to a Unified Power Flow Controller (UPFC) to achieve rapid and finite time reference signal tracking of power flow in presence of actuator faults. SMOFTC is a nonlinear control based on a Sliding Mode Observer (SMO), the Lyapunov stability and variable structure control theories to compensate for actuator faults. In this article, we first establish a state space complete dynamic model of UPFC based on Kirchhoff equations and (d-q) transformation, and then SMOFTC law is developed for the UPFC system. The proposed control is validated via a detailed simulation on a two bus system. Simulation results show power, effectiveness, robustness and accuracy of the proposed controller.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"37 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":"128978194","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}
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.2017.7958667
B. Djaidir, M. Guemana, A. Kouzou, A. Hafaifa
Vibration analysis is a highly responsive tool in the rotating machine industry, making it possible to highlight the symptoms of anomalies affecting this type of machine. This work proposes the use of these tools to develop a strategy for monitoring a gas turbine used in a natural gas transportation in Algeria, based on vibrations analysis and detection of an examined gas turbine, the proposed approach makes it possible to determine the corrective actions to be taken, in order to follow the evolution over time of the degradations of this machine. This makes it possible to establish a precise diagnosis and to detect the fault and to describe their evolutions over time, in order to avoid any degradation of the studied system.
{"title":"Failure monitoring of gas turbine based on vibration analysis and detection","authors":"B. Djaidir, M. Guemana, A. Kouzou, A. Hafaifa","doi":"10.1109/ICOSC.2017.7958667","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958667","url":null,"abstract":"Vibration analysis is a highly responsive tool in the rotating machine industry, making it possible to highlight the symptoms of anomalies affecting this type of machine. This work proposes the use of these tools to develop a strategy for monitoring a gas turbine used in a natural gas transportation in Algeria, based on vibrations analysis and detection of an examined gas turbine, the proposed approach makes it possible to determine the corrective actions to be taken, in order to follow the evolution over time of the degradations of this machine. This makes it possible to establish a precise diagnosis and to detect the fault and to describe their evolutions over time, in order to avoid any degradation of the studied system.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"108 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":"127967054","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.2017.7958644
Elhaouari Kobzili, C. Larbes, Ahmed Allam
In the last decade, monocular simultaneous localization and mapping (mono-SLAM) has appeared as another alternative for pose estimation, but this last gives a localization up to scale, and suffers from scale drift due to the difficulty of depth evaluation; however, several approaches had been tackled to recover the scale and take off the ambiguity. Both methods were designed to get the accurate scale factor, but most of themes didn't give importance to the robustness in scale estimation process. So, in this context, we propose to utilize the smooth variable structure filter (SVSF) to find the absolute scale, under a multi-rate mechanism with the purpose of avoiding complex synchronization between sensors and ensuring a safe navigation.
{"title":"Multi-rate robust scale estimation of monocular SLAM","authors":"Elhaouari Kobzili, C. Larbes, Ahmed Allam","doi":"10.1109/ICOSC.2017.7958644","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958644","url":null,"abstract":"In the last decade, monocular simultaneous localization and mapping (mono-SLAM) has appeared as another alternative for pose estimation, but this last gives a localization up to scale, and suffers from scale drift due to the difficulty of depth evaluation; however, several approaches had been tackled to recover the scale and take off the ambiguity. Both methods were designed to get the accurate scale factor, but most of themes didn't give importance to the robustness in scale estimation process. So, in this context, we propose to utilize the smooth variable structure filter (SVSF) to find the absolute scale, under a multi-rate mechanism with the purpose of avoiding complex synchronization between sensors and ensuring a safe navigation.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"120 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":"128025923","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.2017.7958660
A. Ratni, C. Rahmoune, D. Benazzouz, Ould bouamama Belkacem, B. Merainani
The active health monitoring of gearbox systems in the presence of shaft cracks is considered in this work. The detection of shaft cracks defect in gears may be considered as among the most complicated detection in the diagnosis of industrial machines. The objective is to combine vibration analysis and signal processing techniques to detect the crack shaft defect in the gearbox. For early detection and condition monitoring of shaft crack fault, the Hilbert-Transforms technique is used. In order to achieve this objective, a dynamic model of a simple stage gearbox (with and without defects) is proposed. The system consists of two parameters model, involving stiffness and damping, with torsional and lateral vibration and it has 6 degrees of freedom. The pinion's vibration displacement is analyzed using this new approach. The obtained results show the high sensitivity detection of gearbox's shaft damage.
{"title":"Detection of shaft crack fault in gearbox using Hilbert Transforms","authors":"A. Ratni, C. Rahmoune, D. Benazzouz, Ould bouamama Belkacem, B. Merainani","doi":"10.1109/ICOSC.2017.7958660","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958660","url":null,"abstract":"The active health monitoring of gearbox systems in the presence of shaft cracks is considered in this work. The detection of shaft cracks defect in gears may be considered as among the most complicated detection in the diagnosis of industrial machines. The objective is to combine vibration analysis and signal processing techniques to detect the crack shaft defect in the gearbox. For early detection and condition monitoring of shaft crack fault, the Hilbert-Transforms technique is used. In order to achieve this objective, a dynamic model of a simple stage gearbox (with and without defects) is proposed. The system consists of two parameters model, involving stiffness and damping, with torsional and lateral vibration and it has 6 degrees of freedom. The pinion's vibration displacement is analyzed using this new approach. The obtained results show the high sensitivity detection of gearbox's shaft damage.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"7 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114113462","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.2017.7958729
S. Keskes, Nouha Bouchiba, S. Sallem, L. Chrifi-Alaoui, M. A. Kammoun
Nowadays, the stability of power systems becomes a crucial research subject and it is very important issue for large scale systems. The transient stability of a long transmission system can be significantly realized by the excitation systems control using generally an automatic voltage regulator (AVR) and a power system stabilizer (PSS). In this paper, the improvement of the power system stability and the voltage regulation are ensured by this controllers with a static VAR compensator (SVC) with a Proportional Integral (PI) auxiliary controller. This device is installed in the middle of the power system transmission line. The effectiveness and the robustness of the proposed method are shown by simulation results which are compared under a three phase short-circuit.
{"title":"Transient stability enhancement and voltage regulation in SMIB power system using SVC with PI controller","authors":"S. Keskes, Nouha Bouchiba, S. Sallem, L. Chrifi-Alaoui, M. A. Kammoun","doi":"10.1109/ICOSC.2017.7958729","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958729","url":null,"abstract":"Nowadays, the stability of power systems becomes a crucial research subject and it is very important issue for large scale systems. The transient stability of a long transmission system can be significantly realized by the excitation systems control using generally an automatic voltage regulator (AVR) and a power system stabilizer (PSS). In this paper, the improvement of the power system stability and the voltage regulation are ensured by this controllers with a static VAR compensator (SVC) with a Proportional Integral (PI) auxiliary controller. This device is installed in the middle of the power system transmission line. The effectiveness and the robustness of the proposed method are shown by simulation results which are compared under a three phase short-circuit.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"46 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":"116289766","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.2017.7958738
Umm-e- Aimen, Muwahida Liaquat, Rahat Ali, Qandeel Fazal
This paper discusses the development of a fault tolerant control (FTC) of permanent magnet DC (PMDC) motor system. Multiple Models Switching and Tuning (MMST) is used along with Linear Quadratic Tracking (LQT) so that system output is able to track a reference signal optimally. This method is applied to the PMDC motor model subjected to actuator faults and the simulation results are presented.
{"title":"Linear Quadratic Tracking in Fault Tolerant Control of DC motor in the presence of actuator faults","authors":"Umm-e- Aimen, Muwahida Liaquat, Rahat Ali, Qandeel Fazal","doi":"10.1109/ICOSC.2017.7958738","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958738","url":null,"abstract":"This paper discusses the development of a fault tolerant control (FTC) of permanent magnet DC (PMDC) motor system. Multiple Models Switching and Tuning (MMST) is used along with Linear Quadratic Tracking (LQT) so that system output is able to track a reference signal optimally. This method is applied to the PMDC motor model subjected to actuator faults and the simulation results are presented.","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":"127035371","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.2017.7958716
A. Amrane, A. Larabi, A. Aitouche
This paper deals with the design of a fault detection and isolation (FDI) of the sensors for an induction machine using nonlinear analytical redundancy (NLAR). This paper investigates the detection and isolation of faults using elimination of unknown variables of the system and in particularly the unknown system states. The induction machine (IM), it is highly nonlinear, multivariable, time-varying system and particularly when subject to the faults, it is difficult to detected them by linear approaches. The nonlinear parity space algorithm is able to detect and isolate sensor faults such IM speed and stator currents or actuator faults (stator voltage). In order to prove the accuracy of approaches studying in this work, simulation results will be given.
{"title":"Fault detection and isolation based on nonlinear analytical redundancy applied to an induction machine","authors":"A. Amrane, A. Larabi, A. Aitouche","doi":"10.1109/ICOSC.2017.7958716","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958716","url":null,"abstract":"This paper deals with the design of a fault detection and isolation (FDI) of the sensors for an induction machine using nonlinear analytical redundancy (NLAR). This paper investigates the detection and isolation of faults using elimination of unknown variables of the system and in particularly the unknown system states. The induction machine (IM), it is highly nonlinear, multivariable, time-varying system and particularly when subject to the faults, it is difficult to detected them by linear approaches. The nonlinear parity space algorithm is able to detect and isolate sensor faults such IM speed and stator currents or actuator faults (stator voltage). In order to prove the accuracy of approaches studying in this work, simulation results will be given.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"51 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":"127119701","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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