Pub Date : 2013-10-01DOI: 10.1109/ICOSC.2013.6750891
M. Azzouzi, B. Mohammedi, Dan Popescu, M. Bouchahdane
Photovoltaic cells are inherent part of any photovoltaic system. As the need for more efficient clean source of renewable energy becomes paramount, computational modeling of solar radiation by clear sky and of silicon photovoltaic cell is done, in which the electric model of the solar cell is a two diodes circuit. This modeling must depend at the same time on the weather characteristics of the site where the system is installed and the physical parameters of the corresponding solar cell. It is essential to know the responses of the solar cell model in function of the radiation change caused by the movement of the sun, the latitude and then the incidence of the site. We established calculation programs using Matlab/Simulink environment which allows us to optimize the solar radiation when the results were been compared to these experimental of the NREL (National Renewable Energy Laboratory), we used the obtained radiation to trace the characteristics and to predict the development of the electrical power delivered by the silicon photovoltaic cell in the various meteorological and physical conditions. The prediction of the numerical models is satisfactory, the results obtained are plotted and they are in good conformity with that of literature.
{"title":"Performances optimization from solar radiation to photovoltaic cell","authors":"M. Azzouzi, B. Mohammedi, Dan Popescu, M. Bouchahdane","doi":"10.1109/ICOSC.2013.6750891","DOIUrl":"https://doi.org/10.1109/ICOSC.2013.6750891","url":null,"abstract":"Photovoltaic cells are inherent part of any photovoltaic system. As the need for more efficient clean source of renewable energy becomes paramount, computational modeling of solar radiation by clear sky and of silicon photovoltaic cell is done, in which the electric model of the solar cell is a two diodes circuit. This modeling must depend at the same time on the weather characteristics of the site where the system is installed and the physical parameters of the corresponding solar cell. It is essential to know the responses of the solar cell model in function of the radiation change caused by the movement of the sun, the latitude and then the incidence of the site. We established calculation programs using Matlab/Simulink environment which allows us to optimize the solar radiation when the results were been compared to these experimental of the NREL (National Renewable Energy Laboratory), we used the obtained radiation to trace the characteristics and to predict the development of the electrical power delivered by the silicon photovoltaic cell in the various meteorological and physical conditions. The prediction of the numerical models is satisfactory, the results obtained are plotted and they are in good conformity with that of literature.","PeriodicalId":199135,"journal":{"name":"3rd International Conference on Systems and Control","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130409793","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 : 2013-10-01DOI: 10.1109/ICOSC.2013.6750852
S. Chettouh, R. Hamzi, F. Innal, D. Haddad
Life Cycle Impact Assessment, LCIA, is the third phase of Life Cycle Assessment (LCA) described in ISO 14042. The purpose of LCIA is to assess a product system's life cycle inventory analysis (LCI) in order to better understand its environmental significance. However, LCIA typically excludes spatial, temporal, threshold and dose-response information, and combines emissions or activities over space and/or time. This may diminish the environmental relevance of the indicator result. The methodology, Dynamic LCA -Fire proposed in this paper to complete the International Standard ISO 14042 in the fire field, combines the LCA - Fire method with the Dispersion Numerical Model. It is based on the use of the plume model used to assess pollutant concentrations and thermal effects from fire accident scenarios and to cope with the presence of uncertainties in the input data we propose an uncertainty analysis enables to avoid as much as possible bad decisions that may have a large impact in a field such as safety. In this study, The Dynamic LCA - Fire methodology is applied to a case study for petroleum production process management and we are interested in the uncertainty propagation related to NO2 atmospheric dispersion resulting from a crude oil tank fire. Uncertainties were defined a priori in each of the following input parameters: wind speed, pollutant emission rate and its diffusivity coefficient. For that purpose, a Monte Carlo approach has been used.
{"title":"Uncertainty in the Dynamic LCA - Fire methodology to assess the environmental fire effects 3th IEEE International Conference on Systems and Control, ICSC 2013","authors":"S. Chettouh, R. Hamzi, F. Innal, D. Haddad","doi":"10.1109/ICOSC.2013.6750852","DOIUrl":"https://doi.org/10.1109/ICOSC.2013.6750852","url":null,"abstract":"Life Cycle Impact Assessment, LCIA, is the third phase of Life Cycle Assessment (LCA) described in ISO 14042. The purpose of LCIA is to assess a product system's life cycle inventory analysis (LCI) in order to better understand its environmental significance. However, LCIA typically excludes spatial, temporal, threshold and dose-response information, and combines emissions or activities over space and/or time. This may diminish the environmental relevance of the indicator result. The methodology, Dynamic LCA -Fire proposed in this paper to complete the International Standard ISO 14042 in the fire field, combines the LCA - Fire method with the Dispersion Numerical Model. It is based on the use of the plume model used to assess pollutant concentrations and thermal effects from fire accident scenarios and to cope with the presence of uncertainties in the input data we propose an uncertainty analysis enables to avoid as much as possible bad decisions that may have a large impact in a field such as safety. In this study, The Dynamic LCA - Fire methodology is applied to a case study for petroleum production process management and we are interested in the uncertainty propagation related to NO2 atmospheric dispersion resulting from a crude oil tank fire. Uncertainties were defined a priori in each of the following input parameters: wind speed, pollutant emission rate and its diffusivity coefficient. For that purpose, a Monte Carlo approach has been used.","PeriodicalId":199135,"journal":{"name":"3rd International Conference on Systems and Control","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129668398","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 : 2013-10-01DOI: 10.1109/ICOSC.2013.6750885
Benyamine Allouche, L. Vermeiren, A. Dequidt, M. Dambrine
A commonly asked question in the field of autonomous robotics and intelligent vehicles is: How to design and control an urban transporter able to investigate narrow spaces? From a mechanical point of view, a two wheeled transporter seems to be a good alternative due to its small footprint and its ability to manoeuvre on tight turns. However, the design of this vehicle requires two level of control: One, for the auto-balancing. The second ensures a velocity tracking. The use of linear control law requires a linearisation of the model around an a priori known equilibrium point under the assumption that the vehicle moves on a plane surface. Now, assume that the vehicle is moving along an unknown slope. Then, the equilibrium point is not known while designing the controller. The linearized model becomes unrepresentative. This work present a control of self-balanced two wheeled transporter. The aim is to design a robust controller able to stabilize the transporter on its natural equilibrium along an unknown slope. A quasi LPV approach, through the so-called TS fuzzy model and LMI constraints will be proposed. Moreover, The natural descriptor form of the mechanical system will be used to design the control law. This last choice allows reducing the conservatism of the LMI conditions. Finally a simulation tests showed the effectiveness of our approach.
{"title":"Robust control of two-wheeled self-balanced transporter on sloping ground: A Takagi-Sugeno descriptor approach","authors":"Benyamine Allouche, L. Vermeiren, A. Dequidt, M. Dambrine","doi":"10.1109/ICOSC.2013.6750885","DOIUrl":"https://doi.org/10.1109/ICOSC.2013.6750885","url":null,"abstract":"A commonly asked question in the field of autonomous robotics and intelligent vehicles is: How to design and control an urban transporter able to investigate narrow spaces? From a mechanical point of view, a two wheeled transporter seems to be a good alternative due to its small footprint and its ability to manoeuvre on tight turns. However, the design of this vehicle requires two level of control: One, for the auto-balancing. The second ensures a velocity tracking. The use of linear control law requires a linearisation of the model around an a priori known equilibrium point under the assumption that the vehicle moves on a plane surface. Now, assume that the vehicle is moving along an unknown slope. Then, the equilibrium point is not known while designing the controller. The linearized model becomes unrepresentative. This work present a control of self-balanced two wheeled transporter. The aim is to design a robust controller able to stabilize the transporter on its natural equilibrium along an unknown slope. A quasi LPV approach, through the so-called TS fuzzy model and LMI constraints will be proposed. Moreover, The natural descriptor form of the mechanical system will be used to design the control law. This last choice allows reducing the conservatism of the LMI conditions. Finally a simulation tests showed the effectiveness of our approach.","PeriodicalId":199135,"journal":{"name":"3rd International Conference on Systems and Control","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129715868","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 : 2013-10-01DOI: 10.1109/ICOSC.2013.6750994
M. Dahmane, J. Bosche, A. El-Hajjaji, M. Davarifar
A photovoltaic (PV) conversion system consisting of PV Panel, DC/DC boost converter and a DC (Direct Current) load, is considered in this work. This paper proposes T-S fuzzy method to deal with Maximum Power Point Tracking (MPPT) problem. The stability analysis of the closed loop system is carried out using Lyapunov method and the control gains can be designed by solving Linear Matrix Inequality (LMI). In this study, the MPPT algorithm based on fuzzy inference system (FIS) is designed to generate the maximum power voltage. In order to validate our control strategy, experimental tests are proposed. The available environment in our laboratory includes solar modules, a DC/DC boost converter and dSPACE DS1104 card with its real-time interface Control Desk.
{"title":"T-S implementation of an MPPT algorithm for photovoltaic conversion system using poles placement and H∞ performances","authors":"M. Dahmane, J. Bosche, A. El-Hajjaji, M. Davarifar","doi":"10.1109/ICOSC.2013.6750994","DOIUrl":"https://doi.org/10.1109/ICOSC.2013.6750994","url":null,"abstract":"A photovoltaic (PV) conversion system consisting of PV Panel, DC/DC boost converter and a DC (Direct Current) load, is considered in this work. This paper proposes T-S fuzzy method to deal with Maximum Power Point Tracking (MPPT) problem. The stability analysis of the closed loop system is carried out using Lyapunov method and the control gains can be designed by solving Linear Matrix Inequality (LMI). In this study, the MPPT algorithm based on fuzzy inference system (FIS) is designed to generate the maximum power voltage. In order to validate our control strategy, experimental tests are proposed. The available environment in our laboratory includes solar modules, a DC/DC boost converter and dSPACE DS1104 card with its real-time interface Control Desk.","PeriodicalId":199135,"journal":{"name":"3rd International Conference on Systems and Control","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126356750","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 : 2013-10-01DOI: 10.1109/ICOSC.2013.6750847
P. Djondiné, R. He, M. Ghanes, J. Barbot
In this paper, chaotic behavior investigation of two-cells chopper when it is associated with a nonlinear load is considered. The model of such system is described by a continuous time three dimensional non-autonomous system. The route to chaos is studied by using numerical simulations of two-cells chopper model. Moreover phase portraits; Poincaré section and first return map are analyzed to highlight the main characteristic of this particular chaotic behavior.
{"title":"Chaotic behavior study for serial multicellular chopper connected to nonlinear load","authors":"P. Djondiné, R. He, M. Ghanes, J. Barbot","doi":"10.1109/ICOSC.2013.6750847","DOIUrl":"https://doi.org/10.1109/ICOSC.2013.6750847","url":null,"abstract":"In this paper, chaotic behavior investigation of two-cells chopper when it is associated with a nonlinear load is considered. The model of such system is described by a continuous time three dimensional non-autonomous system. The route to chaos is studied by using numerical simulations of two-cells chopper model. Moreover phase portraits; Poincaré section and first return map are analyzed to highlight the main characteristic of this particular chaotic behavior.","PeriodicalId":199135,"journal":{"name":"3rd International Conference on Systems and Control","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115941448","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 : 2013-10-01DOI: 10.1109/ICOSC.2013.6750840
S. Hadji, J. Gaubert, F. Krim
This paper deals with a new Maximum Power Point Tracking (MPPT) method for Photovoltaic (PV) systems based on Genetic Algorithms (GAs). The proposed algorithm can estimate the current (Impp) and voltage (Vmpp) at maximum power point by measuring the open circuit voltage (Voc) and the short circuit current (Isc) without knowing the irradiance and the cell temperature. To study this method, Matlab/Simulink is used to implement both the algorithm and PV array model. We also give a comparison with the conventional Perturb and Observe (P&O) and Incremental Conductance (Inc-Cond) methods, we observe the advantages about: - Oscillations around the maximum power point. - Response to a rapid atmospheric changing. In GAs we search for a maximum of fitness function (at MPP) while with P&O and Inc-Cond we search for minimal value power derivation, so we have better stability with AGs method.
{"title":"Maximum Power Point Tracking (MPPT) for Photovoltaic systems using open circuit voltage and short circuit current","authors":"S. Hadji, J. Gaubert, F. Krim","doi":"10.1109/ICOSC.2013.6750840","DOIUrl":"https://doi.org/10.1109/ICOSC.2013.6750840","url":null,"abstract":"This paper deals with a new Maximum Power Point Tracking (MPPT) method for Photovoltaic (PV) systems based on Genetic Algorithms (GAs). The proposed algorithm can estimate the current (Impp) and voltage (Vmpp) at maximum power point by measuring the open circuit voltage (Voc) and the short circuit current (Isc) without knowing the irradiance and the cell temperature. To study this method, Matlab/Simulink is used to implement both the algorithm and PV array model. We also give a comparison with the conventional Perturb and Observe (P&O) and Incremental Conductance (Inc-Cond) methods, we observe the advantages about: - Oscillations around the maximum power point. - Response to a rapid atmospheric changing. In GAs we search for a maximum of fitness function (at MPP) while with P&O and Inc-Cond we search for minimal value power derivation, so we have better stability with AGs method.","PeriodicalId":199135,"journal":{"name":"3rd International Conference on Systems and Control","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131526226","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 : 2013-10-01DOI: 10.1109/ICOSC.2013.6750915
Barbara Mayer, Michael E Killian, M. Kozek
Modeling of large multi-purpose buildings for control design of building services is a complex and application specific task. In this work a general modeling approach is proposed, which is based on a standardized work flow and a small rule base. It aims at establishing an industrial tool chain which eventually enables control engineers to model a building and design a control strategy in the most efficient way. The modeling workflow is clearly structured, and both data driven and analytical modeling procedures are presented and compared. Real data from a University building are utilized to demonstrate the efficiency of the proposed methods.
{"title":"Modeling workflow for a building model for control purposes","authors":"Barbara Mayer, Michael E Killian, M. Kozek","doi":"10.1109/ICOSC.2013.6750915","DOIUrl":"https://doi.org/10.1109/ICOSC.2013.6750915","url":null,"abstract":"Modeling of large multi-purpose buildings for control design of building services is a complex and application specific task. In this work a general modeling approach is proposed, which is based on a standardized work flow and a small rule base. It aims at establishing an industrial tool chain which eventually enables control engineers to model a building and design a control strategy in the most efficient way. The modeling workflow is clearly structured, and both data driven and analytical modeling procedures are presented and compared. Real data from a University building are utilized to demonstrate the efficiency of the proposed methods.","PeriodicalId":199135,"journal":{"name":"3rd International Conference on Systems and Control","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126899617","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 : 2013-10-01DOI: 10.1109/ICOSC.2013.6750925
Faouzi Titel, K. Belarbi
In this work, a genetic algorithm based approach for designing fuzzy wavelet neural network (FWNN) is developed. The FWNN approach combines fuzzy set theory and wavelet neural networks. Thus, the proposed Fuzzy WNN is implemented through an interconnected network including two network structures, one containing the fuzzy reasoning mechanism and the other containing Wavelet neural networks. Then a simple genetic algorithm is used to find optimal values of the parameters of the both network structures. The ability of the technique FWNN in identifying non linear dynamical systems is demonstrated on two examples.
{"title":"Identification of dynamic systems using a genetic algorithm-based fuzzy wavelet neural network approach","authors":"Faouzi Titel, K. Belarbi","doi":"10.1109/ICOSC.2013.6750925","DOIUrl":"https://doi.org/10.1109/ICOSC.2013.6750925","url":null,"abstract":"In this work, a genetic algorithm based approach for designing fuzzy wavelet neural network (FWNN) is developed. The FWNN approach combines fuzzy set theory and wavelet neural networks. Thus, the proposed Fuzzy WNN is implemented through an interconnected network including two network structures, one containing the fuzzy reasoning mechanism and the other containing Wavelet neural networks. Then a simple genetic algorithm is used to find optimal values of the parameters of the both network structures. The ability of the technique FWNN in identifying non linear dynamical systems is demonstrated on two examples.","PeriodicalId":199135,"journal":{"name":"3rd International Conference on Systems and Control","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123709051","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 : 2013-10-01DOI: 10.1109/ICOSC.2013.6750913
S. Hafsi, K. Laabidi, R. Farkh
This paper presents a new tuning method for frational PIλ controllers. The main contribution is based on Hermite-Biehler theorem for time delay systems. A solution to the problem of stabilizing a given first order time delay plant is offered. The set of admissible (kp, ki) gain values is determined for the various values of λ and plotted in (kp, ki, λ) plane. The viability of the method is verified using two examples where λ ∈ [0.1 : 0.1 : 1] and λ ∈ ]1 : 0.1 : 2[. The comparison results show the effect of the fractional order integral.
{"title":"Stabilization using FO-PI controllers for first-order time delay systems","authors":"S. Hafsi, K. Laabidi, R. Farkh","doi":"10.1109/ICOSC.2013.6750913","DOIUrl":"https://doi.org/10.1109/ICOSC.2013.6750913","url":null,"abstract":"This paper presents a new tuning method for frational PI<sup>λ</sup> controllers. The main contribution is based on Hermite-Biehler theorem for time delay systems. A solution to the problem of stabilizing a given first order time delay plant is offered. The set of admissible (k<sub>p</sub>, k<sub>i</sub>) gain values is determined for the various values of λ and plotted in (k<sub>p</sub>, k<sub>i</sub>, λ) plane. The viability of the method is verified using two examples where λ ∈ [0.1 : 0.1 : 1] and λ ∈ ]1 : 0.1 : 2[. The comparison results show the effect of the fractional order integral.","PeriodicalId":199135,"journal":{"name":"3rd International Conference on Systems and Control","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126514138","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 : 2013-10-01DOI: 10.1109/ICOSC.2013.6750894
A. Abbadi, L. Nezli, D. Boukhetala
In this paper, we propose a decoupled adaptive interval type 2 fuzzy sliding mode control scheme that has the ability to enhance the transient stability and achieve voltage regulation of a single machine infinite bus power system. The design of this controller involves the direct feedback linearization (DFL) technique and the sliding mode (SM) control theory. Two fuzzy systems are used as reaching and equivalent parts of the SMC. The fuzzy logic is used to handle uncertainty/ disturbance in the design of the equivalent part and to provide a chattering free control for the design of the reaching part. To construct the equivalent control law, an adaptive interval type2 fuzzy logic inference engine is used to approximate the unknown parts of the system. To get rid of the chattering, a fuzzy logic model is assigned for reaching control law, which is acting like the saturation function technique. The stability of the closed-loop system is proved mathematically based on the Lyapunov method. Simulation results illustrate the performance of the developed approach regardless of the system operating conditions.
{"title":"Decoupled adaptive interval type 2 fuzzy sliding mode controller for power systems","authors":"A. Abbadi, L. Nezli, D. Boukhetala","doi":"10.1109/ICOSC.2013.6750894","DOIUrl":"https://doi.org/10.1109/ICOSC.2013.6750894","url":null,"abstract":"In this paper, we propose a decoupled adaptive interval type 2 fuzzy sliding mode control scheme that has the ability to enhance the transient stability and achieve voltage regulation of a single machine infinite bus power system. The design of this controller involves the direct feedback linearization (DFL) technique and the sliding mode (SM) control theory. Two fuzzy systems are used as reaching and equivalent parts of the SMC. The fuzzy logic is used to handle uncertainty/ disturbance in the design of the equivalent part and to provide a chattering free control for the design of the reaching part. To construct the equivalent control law, an adaptive interval type2 fuzzy logic inference engine is used to approximate the unknown parts of the system. To get rid of the chattering, a fuzzy logic model is assigned for reaching control law, which is acting like the saturation function technique. The stability of the closed-loop system is proved mathematically based on the Lyapunov method. Simulation results illustrate the performance of the developed approach regardless of the system operating conditions.","PeriodicalId":199135,"journal":{"name":"3rd International Conference on Systems and Control","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116967731","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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