Pub Date : 2017-05-07DOI: 10.1109/ICOSC.2017.7958713
A. Nacer, B. Marhic, L. Delahoche
This paper aims to present an overview of the Smart HEMS and Smart heating technologies and trends. It highlights a) Objectives and results of R&D projects in the Smart Home field; b) Smart Home Energy Management Systems (Smart HEMS); c) Smart thermostat products existing on the market and scientific approaches which deal with advanced control of heating systems, more specifically the prediction technique.
{"title":"Smart Home, Smart HEMS, Smart heating: An overview of the latest products and trends","authors":"A. Nacer, B. Marhic, L. Delahoche","doi":"10.1109/ICOSC.2017.7958713","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958713","url":null,"abstract":"This paper aims to present an overview of the Smart HEMS and Smart heating technologies and trends. It highlights a) Objectives and results of R&D projects in the Smart Home field; b) Smart Home Energy Management Systems (Smart HEMS); c) Smart thermostat products existing on the market and scientific approaches which deal with advanced control of heating systems, more specifically the prediction technique.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114942998","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 : 2017-05-07DOI: 10.1109/ICOSC.2017.7958655
N. Bessous, S. Zouzou, S. Sbaa, W. Bentrah
This paper presents three interesting methods that are widely used in the diagnosis of electrical machines. Today, many researchers use a technique to detect the faults which may cause the induction machines. The choice of one method over the other is essentially depends on its effectiveness, ease of use and speed. Early detection of faults is a valuable advantage. Our new study is to investigate the efficiency of each method under a dynamic eccentricity fault (DE) in order to detect the characteristic signatures. Motor current signature analysis (MCSA) method is widely used in the diagnosis; it based on analyzing the fast Fourier transform (FFT) of the stator current. Another method which is opens the door to analyze signals in simultaneous time-frequency. It is called the discrete wavelet transform (DWT) which has the ability to allow for studying transient phenomena and non-stationary signals. We will calculate and analyze a particular frequency band of the stator current by DWT coefficients. Our study also treats the details and approximates by Daubechies order. We will present an important indicator of this technique; it's the energy of some details. The last technique is the vibration analysis that is widely used now in industry to detect the faults in electrical machines. The vibration is the result of several causes such as mechanical or electromagnetic. The general objective of the vibration analysis is to analyze the signals to study the content. In this study, we will compare between three methods currently used by exploiting the experimental results to analyze the induction machines faults. The efficiency of each technique was discussed in order to reach a wise decision.
{"title":"A comparative study between the MCSA, DWT and the vibration analysis methods to diagnose the dynamic eccentricity fault in induction motors","authors":"N. Bessous, S. Zouzou, S. Sbaa, W. Bentrah","doi":"10.1109/ICOSC.2017.7958655","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958655","url":null,"abstract":"This paper presents three interesting methods that are widely used in the diagnosis of electrical machines. Today, many researchers use a technique to detect the faults which may cause the induction machines. The choice of one method over the other is essentially depends on its effectiveness, ease of use and speed. Early detection of faults is a valuable advantage. Our new study is to investigate the efficiency of each method under a dynamic eccentricity fault (DE) in order to detect the characteristic signatures. Motor current signature analysis (MCSA) method is widely used in the diagnosis; it based on analyzing the fast Fourier transform (FFT) of the stator current. Another method which is opens the door to analyze signals in simultaneous time-frequency. It is called the discrete wavelet transform (DWT) which has the ability to allow for studying transient phenomena and non-stationary signals. We will calculate and analyze a particular frequency band of the stator current by DWT coefficients. Our study also treats the details and approximates by Daubechies order. We will present an important indicator of this technique; it's the energy of some details. The last technique is the vibration analysis that is widely used now in industry to detect the faults in electrical machines. The vibration is the result of several causes such as mechanical or electromagnetic. The general objective of the vibration analysis is to analyze the signals to study the content. In this study, we will compare between three methods currently used by exploiting the experimental results to analyze the induction machines faults. The efficiency of each technique was discussed in order to reach a wise decision.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129743371","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 : 2017-05-07DOI: 10.1109/ICOSC.2017.7958640
N. Bouarroudj, D. Boukhetala, A. Djari, Younes Rais, Boualem Benlahbib
This article focuses on two principal subjects. In the first, a Mamdani Fuzzy Logic Controller (FLC) based Gaussian membership functions is considered for the maximum power point tracking (MPPT) of a photovoltaic (PV) system.
{"title":"FLC based Gaussian membership functions tuned by PSO and GA for MPPT of photovoltaic system: A comparative study","authors":"N. Bouarroudj, D. Boukhetala, A. Djari, Younes Rais, Boualem Benlahbib","doi":"10.1109/ICOSC.2017.7958640","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958640","url":null,"abstract":"This article focuses on two principal subjects. In the first, a Mamdani Fuzzy Logic Controller (FLC) based Gaussian membership functions is considered for the maximum power point tracking (MPPT) of a photovoltaic (PV) system.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116103644","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 : 2017-05-07DOI: 10.1109/ICOSC.2017.7958710
E. Garoudja, F. Harrou, Ying Sun, Kamel Kara, A. Chouder, S. Silvestre
This paper reports a development of a statistical approach for fault detection and diagnosis in a PV system. Specifically, the overarching goal of this work is to early detect and identify faults on the DC side of a PV system (e.g., short-circuit faults; open-circuit faults; and partial shading faults). Towards this end, we apply exponentially-weighted moving average (EWMA) control chart on the residuals obtained from the one-diode model. Such a choice is motivated by the greater sensitivity of EWMA chart to incipient faults and its low-computational cost making it easy to implement in real time. Practical data from a 3.2 KWp photovoltaic plant located within an Algerian research center is used to validate the proposed approach. Results show clearly the efficiency of the developed method in monitoring PV system status.
{"title":"A statistical-based approach for fault detection and diagnosis in a photovoltaic system","authors":"E. Garoudja, F. Harrou, Ying Sun, Kamel Kara, A. Chouder, S. Silvestre","doi":"10.1109/ICOSC.2017.7958710","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958710","url":null,"abstract":"This paper reports a development of a statistical approach for fault detection and diagnosis in a PV system. Specifically, the overarching goal of this work is to early detect and identify faults on the DC side of a PV system (e.g., short-circuit faults; open-circuit faults; and partial shading faults). Towards this end, we apply exponentially-weighted moving average (EWMA) control chart on the residuals obtained from the one-diode model. Such a choice is motivated by the greater sensitivity of EWMA chart to incipient faults and its low-computational cost making it easy to implement in real time. Practical data from a 3.2 KWp photovoltaic plant located within an Algerian research center is used to validate the proposed approach. Results show clearly the efficiency of the developed method in monitoring PV system status.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125349722","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 : 2017-05-07DOI: 10.1109/ICOSC.2017.7958652
K. Bettou, A. Charef
Application of fractional order proportional-integral-derivative-acceleration PIλDμA controller to a bioreactor is presented and studied in this paper. The fractional order PIλDμA controller is an integer order PIDA controller whose integral and derivative orders are fractional numbers rather than integers. Design stage of the fractional order PIλDμA controller consists of determining six parameters through the optimization of the Integral Squared Error (ISE) performance criteria using the Particle Swarm Optimization (PSO) algorithm. Comparisons are made with integer and fractional order controllers. Simulation results show that the proposed fractional order PIλDμA controller can enhance the performance of the bioreactor control.
{"title":"Optimal fractional order PIλDμA controller design for bioreactor control using Particle Swarm Optimization","authors":"K. Bettou, A. Charef","doi":"10.1109/ICOSC.2017.7958652","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958652","url":null,"abstract":"Application of fractional order proportional-integral-derivative-acceleration PIλDμA controller to a bioreactor is presented and studied in this paper. The fractional order PIλDμA controller is an integer order PIDA controller whose integral and derivative orders are fractional numbers rather than integers. Design stage of the fractional order PIλDμA controller consists of determining six parameters through the optimization of the Integral Squared Error (ISE) performance criteria using the Particle Swarm Optimization (PSO) algorithm. Comparisons are made with integer and fractional order controllers. Simulation results show that the proposed fractional order PIλDμA controller can enhance the performance of the bioreactor control.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132314608","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 : 2017-05-07DOI: 10.1109/ICOSC.2017.7958642
F. Mazouz, S. Belkacem, Y. Harbouche, R. Abdessemed, S. Ouchen
In this paper, we propose a vector control of a doubly fed induction generator (DFIG) for variable speed wind power generation. The model is developed based on the dual powered generator for the control of the active and reactive powers. Several studies are carried out to test their operation under different wind conditions. The results have shown good performances of the wind energy converter system operate under wind variations with indirect vector control strategies.
{"title":"Active and reactive power control of a DFIG for variable speed wind energy conversion","authors":"F. Mazouz, S. Belkacem, Y. Harbouche, R. Abdessemed, S. Ouchen","doi":"10.1109/ICOSC.2017.7958642","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958642","url":null,"abstract":"In this paper, we propose a vector control of a doubly fed induction generator (DFIG) for variable speed wind power generation. The model is developed based on the dual powered generator for the control of the active and reactive powers. Several studies are carried out to test their operation under different wind conditions. The results have shown good performances of the wind energy converter system operate under wind variations with indirect vector control strategies.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125831278","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 : 2017-05-07DOI: 10.1109/ICOSC.2017.7958650
L. Guezouli, S. Abdelhamid
In this paper, Multi-depot Fleet Size Mix Vehicle Routing Problem with time window (MD-FSMVRP-TW) is presented as a multi-criteria optimization problem. For this purpose, we propose in this study a decision support system which aims to discover a set of satisfying solutions (routes) minimizing total travel distance, total tardiness time and the total number of vehicles. These routes satisfy transportation requests without contravening any of the instance specific constraints: schedules requests from clients, the heterogeneous capacity of vehicles… The new encoding and structure algorithm on which this contribution is based uses a genetic algorithm, a selection process using ranking with several Pareto fronts and an elitist selection strategy for replacement. Computational experiments with the benchmark test instances confirm that our approach produces acceptable quality solutions compared with previous results in similar problems in terms of generated solutions and processing time. Experimental results prove that the method of genetic algorithm heuristics is effective in solving the MD-FSMVRP-TW problem and hence has a great potential.
{"title":"A multi-objective optimization of Multi-depot Fleet Size and Mix Vehicle Routing Problem with time window","authors":"L. Guezouli, S. Abdelhamid","doi":"10.1109/ICOSC.2017.7958650","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958650","url":null,"abstract":"In this paper, Multi-depot Fleet Size Mix Vehicle Routing Problem with time window (MD-FSMVRP-TW) is presented as a multi-criteria optimization problem. For this purpose, we propose in this study a decision support system which aims to discover a set of satisfying solutions (routes) minimizing total travel distance, total tardiness time and the total number of vehicles. These routes satisfy transportation requests without contravening any of the instance specific constraints: schedules requests from clients, the heterogeneous capacity of vehicles… The new encoding and structure algorithm on which this contribution is based uses a genetic algorithm, a selection process using ranking with several Pareto fronts and an elitist selection strategy for replacement. Computational experiments with the benchmark test instances confirm that our approach produces acceptable quality solutions compared with previous results in similar problems in terms of generated solutions and processing time. Experimental results prove that the method of genetic algorithm heuristics is effective in solving the MD-FSMVRP-TW problem and hence has a great potential.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125845712","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 : 2017-05-07DOI: 10.1109/icosc.2017.7958735
H. Bibi, F. Bedouhene, A. Zemouche, A. Aitouche
This paper is devoted to the study of observer-based ℋ∞ controller design method via LMIs for a class of switched discrete-time linear systems with l2-bounded disturbances. The main contribution of this work consists in a new and judicious use of the slack variables coming from Finsler's lemma. We clarify analytically how the proposed slack variables allows to eliminate some bilinear matrix coupling. The validity and effectiveness of the proposed design methodology are illustrated through a numerical example.
{"title":"ℋ∞ observer-based stabilization of switched discrete-time linear systems","authors":"H. Bibi, F. Bedouhene, A. Zemouche, A. Aitouche","doi":"10.1109/icosc.2017.7958735","DOIUrl":"https://doi.org/10.1109/icosc.2017.7958735","url":null,"abstract":"This paper is devoted to the study of observer-based ℋ∞ controller design method via LMIs for a class of switched discrete-time linear systems with l2-bounded disturbances. The main contribution of this work consists in a new and judicious use of the slack variables coming from Finsler's lemma. We clarify analytically how the proposed slack variables allows to eliminate some bilinear matrix coupling. The validity and effectiveness of the proposed design methodology are illustrated through a numerical example.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115114183","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 : 2017-05-07DOI: 10.1109/ICOSC.2017.7958651
H. Bengacemi, A. Mesloub, A. Ouldali, K. Abed-Meraim
This paper describes a new approach for detecting onset/offset electromyography activity. The proposed approach is based on energy analysis which has been widely used in Voice Activity Detection (VAD). A performance analysis has been carried out in order to get the appropriate frame length of EMG signal to adapt within our proposed method. Synthetic and Real EMG signals are used to illustrate us the performance of our proposed method.
{"title":"Adaptive Linear Energy Detector based on onset and offset electromyography activity detection","authors":"H. Bengacemi, A. Mesloub, A. Ouldali, K. Abed-Meraim","doi":"10.1109/ICOSC.2017.7958651","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958651","url":null,"abstract":"This paper describes a new approach for detecting onset/offset electromyography activity. The proposed approach is based on energy analysis which has been widely used in Voice Activity Detection (VAD). A performance analysis has been carried out in order to get the appropriate frame length of EMG signal to adapt within our proposed method. Synthetic and Real EMG signals are used to illustrate us the performance of our proposed method.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124724970","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 : 2017-05-07DOI: 10.1109/ICOSC.2017.7958736
C. Bennani, F. Bedouhene, A. Zemouche, H. Bibi, A. Aitouche
This note deals with the problem of observer-based stabilization for discrete-time linear systems with norm-bounded parameter uncertainties. Thanks to slack variable technique and the two-step method, an LMI-based approach is provided to compute simultaneously all the main decision variable of the observer-based controller problem. Our approach is inspired from the classical two-step method introduced by Stankovic et al. and the modified two-step method introduced by Zemouche et al‥ Some comments are reserved to emphasize and clarify the difference between the different variants of the two-step method. A numerical example is provided in order to illustrate how the new algorithm is less conservative than previous results in literature.
{"title":"A modified two-step LMI method to design observer-based controller for linear discrete-time systems with parameter uncertainties","authors":"C. Bennani, F. Bedouhene, A. Zemouche, H. Bibi, A. Aitouche","doi":"10.1109/ICOSC.2017.7958736","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958736","url":null,"abstract":"This note deals with the problem of observer-based stabilization for discrete-time linear systems with norm-bounded parameter uncertainties. Thanks to slack variable technique and the two-step method, an LMI-based approach is provided to compute simultaneously all the main decision variable of the observer-based controller problem. Our approach is inspired from the classical two-step method introduced by Stankovic et al. and the modified two-step method introduced by Zemouche et al‥ Some comments are reserved to emphasize and clarify the difference between the different variants of the two-step method. A numerical example is provided in order to illustrate how the new algorithm is less conservative than previous results in literature.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116151075","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}