Pub Date : 2017-05-01DOI: 10.1109/ICOSC.2017.7958683
Abdenour Benkrid, N. Achour
This paper addresses the multi-robot exploration problem in unknown environments. The proposed method aims to minimize the exploration time considering the robot's limited energy. The target area is defined as a frontier which represents the limit between an unknown and explored part of the environment. Thus, each robot from the team is assigned to the frontier for which it has the lowest rank among the other robots in term of energy consumption. An implementation and tests in computerized simulation as well as a comparison with some existing approaches has been performed. The results obtained demonstrate the validity and the efficiency of our method.
{"title":"A novel approach for coordinated multi-robot exploration","authors":"Abdenour Benkrid, N. Achour","doi":"10.1109/ICOSC.2017.7958683","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958683","url":null,"abstract":"This paper addresses the multi-robot exploration problem in unknown environments. The proposed method aims to minimize the exploration time considering the robot's limited energy. The target area is defined as a frontier which represents the limit between an unknown and explored part of the environment. Thus, each robot from the team is assigned to the frontier for which it has the lowest rank among the other robots in term of energy consumption. An implementation and tests in computerized simulation as well as a comparison with some existing approaches has been performed. The results obtained demonstrate the validity and the efficiency of our method.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"50 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":"127533788","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.2017.7958726
B. Boukezata, A. Chaoui, J. Gaubert, M. Hachemi
Nonlinear loads deteriorate power quality by drawing harmonic and reactive currents at their point of coupling. This paper proposes a predictive current control strategy applied to Shunt Active Power Filter for improving power quality. Proposed approach uses the system discrete-time model to predict the future value of the filter current for different voltage vectors. Selection of the optimal voltage vector aims to minimize the error between reference and predicted current by means of a cost function. The proposed control algorithm is carried out through MatlabSimulink(TM) environment, simulation and experimental results confirm the effectiveness and the robustness of the proposed control algorithm and compared to hysteresis current control strategy in all operation modes.
{"title":"Implementation of predictive current control for Shunt Active Power Filter","authors":"B. Boukezata, A. Chaoui, J. Gaubert, M. Hachemi","doi":"10.1109/ICOSC.2017.7958726","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958726","url":null,"abstract":"Nonlinear loads deteriorate power quality by drawing harmonic and reactive currents at their point of coupling. This paper proposes a predictive current control strategy applied to Shunt Active Power Filter for improving power quality. Proposed approach uses the system discrete-time model to predict the future value of the filter current for different voltage vectors. Selection of the optimal voltage vector aims to minimize the error between reference and predicted current by means of a cost function. The proposed control algorithm is carried out through MatlabSimulink(TM) environment, simulation and experimental results confirm the effectiveness and the robustness of the proposed control algorithm and compared to hysteresis current control strategy in all operation modes.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"15 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":"131324794","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.2017.7958730
Loubna Merazka, Farouk ZOUARI, A. Boulkroune
In this research, we suggest a new fuzzy adaptive state-feedback control strategy for unknown nonlinear multivariable systems for which the input-gains matrix is not necessarily symmetric and is characterized by non-zero leading principle minors. A linearly parameterized fuzzy system is used to appropriately model the uncertainties. When designing our control scheme and studying the stability analysis, a decomposition property of the input-gain matrix is employed. A proportional-integral (PI) adaptation law is suggested to enhance the adaptive parameter convergence. An appropriate Lyapunov function is exploited to study the stability of the corresponding closed-loop control system as well as to derive the adaptation laws. Numerical simulations and a detailed comparison study are given to evaluate the efficiency of our suggested control methodology.
{"title":"Fuzzy state-feedback control of uncertain nonlinear MIMO systems","authors":"Loubna Merazka, Farouk ZOUARI, A. Boulkroune","doi":"10.1109/ICOSC.2017.7958730","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958730","url":null,"abstract":"In this research, we suggest a new fuzzy adaptive state-feedback control strategy for unknown nonlinear multivariable systems for which the input-gains matrix is not necessarily symmetric and is characterized by non-zero leading principle minors. A linearly parameterized fuzzy system is used to appropriately model the uncertainties. When designing our control scheme and studying the stability analysis, a decomposition property of the input-gain matrix is employed. A proportional-integral (PI) adaptation law is suggested to enhance the adaptive parameter convergence. An appropriate Lyapunov function is exploited to study the stability of the corresponding closed-loop control system as well as to derive the adaptation laws. Numerical simulations and a detailed comparison study are given to evaluate the efficiency of our suggested control methodology.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"56 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":"131773819","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.2017.7958690
S. Khaldi, Z. Dibi
Electronic nose applications in environmental monitoring are nowadays of great interest, because of the instruments proven capability of recognizing and discriminating between a variety of different gases and odors using just a small number of sensors. We present in this paper a neural network technique to create smart models for design a smart sensor for electronic nose application. The first one, called a selector, can select exactly the nature of gas detected, the second intelligent model is a compensator, which can automatically compensate the temperature effect on sensor's response and make the response independent of variation of temperature. The third one is corrector; linearize the output response of the sensor. The electronic nose is based on Co-doped SnO2 nanofibers sensor. The method discriminates qualitatively and quantitatively between six gases.
{"title":"Neural network modeling of smart nanostructure sensor for electronic nose application","authors":"S. Khaldi, Z. Dibi","doi":"10.1109/ICOSC.2017.7958690","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958690","url":null,"abstract":"Electronic nose applications in environmental monitoring are nowadays of great interest, because of the instruments proven capability of recognizing and discriminating between a variety of different gases and odors using just a small number of sensors. We present in this paper a neural network technique to create smart models for design a smart sensor for electronic nose application. The first one, called a selector, can select exactly the nature of gas detected, the second intelligent model is a compensator, which can automatically compensate the temperature effect on sensor's response and make the response independent of variation of temperature. The third one is corrector; linearize the output response of the sensor. The electronic nose is based on Co-doped SnO2 nanofibers sensor. The method discriminates qualitatively and quantitatively between six gases.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"573 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":"123167436","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.2017.7958681
Bachir Bourouba, S. Ladaci
This paper investigates the stabilization of three-dimensional fractional-order chaotic systems, by a novel sliding mode control scheme based on Lyapunov stability theorem. The proposed controller which only contains a single state variable is simple both to design and to implement. Numerical simulation examples for the Chen chaotic fractional-order system are given to demonstrate the effectiveness of the proposed scheme.
{"title":"Stabilization of class of fractional-order chaotic system via new sliding mode control","authors":"Bachir Bourouba, S. Ladaci","doi":"10.1109/ICOSC.2017.7958681","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958681","url":null,"abstract":"This paper investigates the stabilization of three-dimensional fractional-order chaotic systems, by a novel sliding mode control scheme based on Lyapunov stability theorem. The proposed controller which only contains a single state variable is simple both to design and to implement. Numerical simulation examples for the Chen chaotic fractional-order system are given to demonstrate the effectiveness of the proposed scheme.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"80 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":"127099574","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.2017.7958748
S. Ouchen, A. Betka, J. Gaubert, S. Abdeddaim
In this paper, simulation and practical implementation of direct power control is presented for a PWM Rectifier application. The proposed DPC control has several advantages, including the grid current very close to sinusoidal waveforms (TDH < 1.2%), and good regulation of DC-bus voltage is achieved using the PI controller. The simulation and the experimental results obtained in this study, demonstrate the effectiveness of the direct power control algorithm to eliminate the harmonic currents, ameliorate the active power quality and minimize the reactive energy effect which allowed us to affirm the strength of the proposed strategy.
{"title":"Simulation and practical implementation of direct power control applied on PWM rectifier","authors":"S. Ouchen, A. Betka, J. Gaubert, S. Abdeddaim","doi":"10.1109/ICOSC.2017.7958748","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958748","url":null,"abstract":"In this paper, simulation and practical implementation of direct power control is presented for a PWM Rectifier application. The proposed DPC control has several advantages, including the grid current very close to sinusoidal waveforms (TDH < 1.2%), and good regulation of DC-bus voltage is achieved using the PI controller. The simulation and the experimental results obtained in this study, demonstrate the effectiveness of the direct power control algorithm to eliminate the harmonic currents, ameliorate the active power quality and minimize the reactive energy effect which allowed us to affirm the strength of the proposed strategy.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"8 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":"133869124","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.2017.7958744
Nouha Bouchiba, Asma Barkia, S. Sallem, L. Chrifi-Alaoui, S. Drid, M. A. Kammoun
Nowadays, the continuously increasing of the energy consumption all over the world presents the cause of renewable energy sources development. In this context, wind energy conversion systems (WECS) based on double fed induction generator (DFIG) are widely used in both grid connected and stand-alone modes. In both cases, management and control technologies are widely developed in the literature. In this paper, in order to control and regulate stator output voltage and frequency whether for load demand power variations and wind speed fluctuations, a study of the stand-alone DFIG based WECS using Backstepping controller is made, developed and tested. Experimental results are carried out using a 1.5 Kw DFIG and a dSpace DS1104 card. Results demonstrate performances of the Backstepping control strategy.
{"title":"A real-time Backstepping control strategy for a doubly fed induction generator based wind energy conversion system","authors":"Nouha Bouchiba, Asma Barkia, S. Sallem, L. Chrifi-Alaoui, S. Drid, M. A. Kammoun","doi":"10.1109/ICOSC.2017.7958744","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958744","url":null,"abstract":"Nowadays, the continuously increasing of the energy consumption all over the world presents the cause of renewable energy sources development. In this context, wind energy conversion systems (WECS) based on double fed induction generator (DFIG) are widely used in both grid connected and stand-alone modes. In both cases, management and control technologies are widely developed in the literature. In this paper, in order to control and regulate stator output voltage and frequency whether for load demand power variations and wind speed fluctuations, a study of the stand-alone DFIG based WECS using Backstepping controller is made, developed and tested. Experimental results are carried out using a 1.5 Kw DFIG and a dSpace DS1104 card. Results demonstrate performances of the Backstepping control strategy.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"61 sp1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132723005","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.2017.7958745
A. Aouf, F. Djeffal, F. Douak
In this paper, exhaustive analytical investigation based on analyzing the impact of the self-heating phenomenon on the power GaN HEMT performance is proposed. To do so, analytical models for the drain current, power dissipation and lattice temperature variation are developed in order to evaluate the device reliability against the self-heating effects (SHEs). The transistor thermal stability is systematically investigated with respect to the dependence on the buffer layer doping, mole fraction variation, and layer thickness. In this work, the electrical and thermal performance of power GaN HEMT structure is investigated. Also, device design parameters dependent characteristics on thermal stability and immunity are observed and analyzed. The obtained results provide new insight for bridging the gap between high power performances with thermal stability factor.
{"title":"Thermal stability investigation of power GaN HEMT including self-heating effects","authors":"A. Aouf, F. Djeffal, F. Douak","doi":"10.1109/ICOSC.2017.7958745","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958745","url":null,"abstract":"In this paper, exhaustive analytical investigation based on analyzing the impact of the self-heating phenomenon on the power GaN HEMT performance is proposed. To do so, analytical models for the drain current, power dissipation and lattice temperature variation are developed in order to evaluate the device reliability against the self-heating effects (SHEs). The transistor thermal stability is systematically investigated with respect to the dependence on the buffer layer doping, mole fraction variation, and layer thickness. In this work, the electrical and thermal performance of power GaN HEMT structure is investigated. Also, device design parameters dependent characteristics on thermal stability and immunity are observed and analyzed. The obtained results provide new insight for bridging the gap between high power performances with thermal stability factor.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"85 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":"133687347","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.2017.7958741
A. Sassi, H. S. Ali, M. Zasadzinski, K. Abderrahim
This paper addresses the problem of the design of an adaptive observer for a class of time delay systems, in order to give a suitable estimation of the system states and its unknown parameters simultaneously. Based on a descriptor LPV system approach, we propose a simple full order adaptive observer via Linear Matrix Inequalities (LMI's). Those LMI's permit to fulfill the conditions of the estimation errors stability, relying on Krasovskii Lyapunov approach for time delay systems.
{"title":"Full order adaptive observer design for time delay bilinear system","authors":"A. Sassi, H. S. Ali, M. Zasadzinski, K. Abderrahim","doi":"10.1109/ICOSC.2017.7958741","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958741","url":null,"abstract":"This paper addresses the problem of the design of an adaptive observer for a class of time delay systems, in order to give a suitable estimation of the system states and its unknown parameters simultaneously. Based on a descriptor LPV system approach, we propose a simple full order adaptive observer via Linear Matrix Inequalities (LMI's). Those LMI's permit to fulfill the conditions of the estimation errors stability, relying on Krasovskii Lyapunov approach for time delay systems.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"127 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114087244","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.2017.7958740
H. Zermane, H. Mouss, T. Oulmi, S. Hemal
During the last years, in industrial process control, requirements for Continuous Emission Monitoring (CEM) have increased significantly. Most plants are investing in CEM systems in order to burn waste, obtain ISO 14000 and 18001 certification to protect operator's life. In this work, our approach describes development of a novel internet and fuzzy-based CEM system (IFCEMS). This system contains operator's stations for the bag filter's automation system and monitored using Internet. The object of the present installation consists of a suction ventilator, a bag filter and a system for collecting and evacuating the dust. To optimize the running of the bag filter workshop and ensure continuous control, the process based on one of the most powerful Artificial Intelligence techniques which is fuzzy logic involves the removal or filtration of smoke from the kiln and/or cement mill with control of temperature and pressure of the fumes.
{"title":"Fuzzy-based process control system of a bag-filter in cement manufacturing plant","authors":"H. Zermane, H. Mouss, T. Oulmi, S. Hemal","doi":"10.1109/ICOSC.2017.7958740","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958740","url":null,"abstract":"During the last years, in industrial process control, requirements for Continuous Emission Monitoring (CEM) have increased significantly. Most plants are investing in CEM systems in order to burn waste, obtain ISO 14000 and 18001 certification to protect operator's life. In this work, our approach describes development of a novel internet and fuzzy-based CEM system (IFCEMS). This system contains operator's stations for the bag filter's automation system and monitored using Internet. The object of the present installation consists of a suction ventilator, a bag filter and a system for collecting and evacuating the dust. To optimize the running of the bag filter workshop and ensure continuous control, the process based on one of the most powerful Artificial Intelligence techniques which is fuzzy logic involves the removal or filtration of smoke from the kiln and/or cement mill with control of temperature and pressure of the fumes.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"54 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":"116278335","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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