Pub Date : 2013-10-01DOI: 10.1109/ICOSC.2013.6750982
F. Ameur, K. Kouzi
This paper focuses on the design and analysis of optimized PI conventional and PI fuzzy logic speed vector control of Dual Stator Induction Generator (DSIG) in wind energy conversion system. In first step a field-oriented control of a DSIG is presented. In second step, in order to ensure an optimum operating point and a Maximum Power Point Track (MPPT) giving online a maximum production of electric power for different wind speeds, a conventional PI and then a fuzzy PI speed regulators are used. In the final step, to improve the design of these two regulators, the technique of genetic algorithms is used to facilitate the design parameters determination and reduced time consumption comparatively to the “trial-error” method. Simulation results show clearly the effectiveness and the performance of the suggested control algorithm.
{"title":"Genetic algorithm optimized PI and fuzzy logic speed vector control of Dual Stator Induction Generator in wind energy conversion system","authors":"F. Ameur, K. Kouzi","doi":"10.1109/ICOSC.2013.6750982","DOIUrl":"https://doi.org/10.1109/ICOSC.2013.6750982","url":null,"abstract":"This paper focuses on the design and analysis of optimized PI conventional and PI fuzzy logic speed vector control of Dual Stator Induction Generator (DSIG) in wind energy conversion system. In first step a field-oriented control of a DSIG is presented. In second step, in order to ensure an optimum operating point and a Maximum Power Point Track (MPPT) giving online a maximum production of electric power for different wind speeds, a conventional PI and then a fuzzy PI speed regulators are used. In the final step, to improve the design of these two regulators, the technique of genetic algorithms is used to facilitate the design parameters determination and reduced time consumption comparatively to the “trial-error” method. Simulation results show clearly the effectiveness and the performance of the suggested control algorithm.","PeriodicalId":199135,"journal":{"name":"3rd International Conference on Systems and Control","volume":"258 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":"132715841","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.2013.6750901
A. Mechernene, L. C. Alaoui, M. Zerikat, N. Benharir, H. Benderradji
This paper presents experimental study whose objective is to show the dynamic performance of a variable gain PI controller (VGPI). Indeed, the PI, although very popular and mainly used in industry, present overshoots in the tracking trajectory mode. This major disadvantage can be eliminated by maintaining the traditional PI structure and introducing the variable proportional and integrator gains. The proposed regulator is used as speed control organ in vector control to an induction motor. The practical implementation is done on a hardware experimental platform equipped with a dSpace-DSP 1104 with Matlab-Simulink-DSpace system and Control-Desk software plugged in a standard personnel computer. The various tests demonstrate the great ability of the controller to remove the overshoots and also a precise trajectory tracking.
{"title":"VGPI controller for high performance speed tracking of induction motor drive","authors":"A. Mechernene, L. C. Alaoui, M. Zerikat, N. Benharir, H. Benderradji","doi":"10.1109/ICOSC.2013.6750901","DOIUrl":"https://doi.org/10.1109/ICOSC.2013.6750901","url":null,"abstract":"This paper presents experimental study whose objective is to show the dynamic performance of a variable gain PI controller (VGPI). Indeed, the PI, although very popular and mainly used in industry, present overshoots in the tracking trajectory mode. This major disadvantage can be eliminated by maintaining the traditional PI structure and introducing the variable proportional and integrator gains. The proposed regulator is used as speed control organ in vector control to an induction motor. The practical implementation is done on a hardware experimental platform equipped with a dSpace-DSP 1104 with Matlab-Simulink-DSpace system and Control-Desk software plugged in a standard personnel computer. The various tests demonstrate the great ability of the controller to remove the overshoots and also a precise trajectory tracking.","PeriodicalId":199135,"journal":{"name":"3rd International Conference on Systems and Control","volume":"470 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":"115142115","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.2013.6750917
O. K. Amedu, R. Penlington, K. Busawon, A. Morgan
In this paper, we propose a theoretical physical lumped parameter model for the mixing process in plasticizing self-wiping twin screw extruders using a combination of statistical techniques and mechanistic modelling. The model describes the response of the extruder to input signals of feed rate and screw speed in the time domain via residence time density distribution (RTD). It is shown that the RTD refers to the impulse response of the extruder to input signals. Parameters of the RTD function are estimated by developing predictive models of the mean residence time and mean time delay by way of mechanistic modelling, taking into consideration the flow behavior during the plasticizing process and its interaction with the screw configuration. Analyses show that the evolution of the mixing process is dependent on the feed rate (Q) and screw speed (N) combination, with the feed rate having a greater impact in changing the shape of the RTD curve. The process is optimized by determining the variance of the material distribution in the extruder. The model is presented in the form of an impulse response function f(t) in the time domain suitable for the design of a controller.
{"title":"A lumped parameter control model for twin-screw extruders","authors":"O. K. Amedu, R. Penlington, K. Busawon, A. Morgan","doi":"10.1109/ICOSC.2013.6750917","DOIUrl":"https://doi.org/10.1109/ICOSC.2013.6750917","url":null,"abstract":"In this paper, we propose a theoretical physical lumped parameter model for the mixing process in plasticizing self-wiping twin screw extruders using a combination of statistical techniques and mechanistic modelling. The model describes the response of the extruder to input signals of feed rate and screw speed in the time domain via residence time density distribution (RTD). It is shown that the RTD refers to the impulse response of the extruder to input signals. Parameters of the RTD function are estimated by developing predictive models of the mean residence time and mean time delay by way of mechanistic modelling, taking into consideration the flow behavior during the plasticizing process and its interaction with the screw configuration. Analyses show that the evolution of the mixing process is dependent on the feed rate (Q) and screw speed (N) combination, with the feed rate having a greater impact in changing the shape of the RTD curve. The process is optimized by determining the variance of the material distribution in the extruder. The model is presented in the form of an impulse response function f(t) in the time domain suitable for the design of a controller.","PeriodicalId":199135,"journal":{"name":"3rd International Conference on Systems and Control","volume":"47 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":"131824983","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.2013.6750941
M. Benaouadj, M. Ayad, M. Becherif, A. Aboubou, M. Bahri, O. Akhrif
This paper presents the hybridization of photovoltaic (PV) panels considered as the main source, with lead-acid batteries and supercapacitors used as storage system, for a stand-alone application. The aim is to supply a domestic load and energy management between different components. A nonlinear control strategy based on the flatness approach is applied to manage energy flows among the PV source, storage unit and load in the system. Simulation results are presented and discussed when applying different solar illuminations.
{"title":"Nonlinear flatness control applied for energy management of PV/batteries/supercapacitors hybrid power sources for stand-alone applications","authors":"M. Benaouadj, M. Ayad, M. Becherif, A. Aboubou, M. Bahri, O. Akhrif","doi":"10.1109/ICOSC.2013.6750941","DOIUrl":"https://doi.org/10.1109/ICOSC.2013.6750941","url":null,"abstract":"This paper presents the hybridization of photovoltaic (PV) panels considered as the main source, with lead-acid batteries and supercapacitors used as storage system, for a stand-alone application. The aim is to supply a domestic load and energy management between different components. A nonlinear control strategy based on the flatness approach is applied to manage energy flows among the PV source, storage unit and load in the system. Simulation results are presented and discussed when applying different solar illuminations.","PeriodicalId":199135,"journal":{"name":"3rd International Conference on Systems and Control","volume":"22 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":"132037235","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.2013.6750974
S. Labiod, H. Boubertakh, T. Guerra
This paper presents a Fourier series-based adaptive trajectory tracking controller for uncertain robotic manipulators. The desired trajectories to be tracked are assumed to be smooth and periodic with known period. Fourier series expansion is used to approximate robotic system uncertainties. The Fourier coefficients adaptation law is driven by the identification error and it is obtained from the Lyapunov approach. Simulation results for a two-link robot manipulator are provided to show the effectiveness of the proposed adaptive controller.
{"title":"Fourier series-based adaptive tracking control for robot manipulators","authors":"S. Labiod, H. Boubertakh, T. Guerra","doi":"10.1109/ICOSC.2013.6750974","DOIUrl":"https://doi.org/10.1109/ICOSC.2013.6750974","url":null,"abstract":"This paper presents a Fourier series-based adaptive trajectory tracking controller for uncertain robotic manipulators. The desired trajectories to be tracked are assumed to be smooth and periodic with known period. Fourier series expansion is used to approximate robotic system uncertainties. The Fourier coefficients adaptation law is driven by the identification error and it is obtained from the Lyapunov approach. Simulation results for a two-link robot manipulator are provided to show the effectiveness of the proposed adaptive controller.","PeriodicalId":199135,"journal":{"name":"3rd International Conference on Systems and Control","volume":"10 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":"128275726","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.2013.6750956
Z. Zerdoumi, D. Chikouche, D. Benatia
This paper investigates the application of artificial neural network to the problem of nonlinear channel equalization. The difficulties caused by channel distortions such as inter symbol interference (ISI) and nonlinearity can overcome by nonlinear equalizers employing neural networks. It has been shown that multilayer perceptron based equalizer (MLPE) outperform significantly linear equalizers. We present a multilayer perceptron based equalizer with decision feedback (MLP DFE) trained with the back propagation algorithm. The capacity of the MLP DFE to deal with nonlinear channels is evaluated. It is shown from simulation results that performance of the MLP DFE surpass significantly the MLPE in term of eye pattern quality, steady state mean square error (MSE), and minimum Bit Error Rate (BER). The MLPE equalizer performs poorly on the severe nonlinear channel whereas the MLP DFE equalizer provides the best performance on the two nonlinear channels considered.
{"title":"Adaptive decision feedback equalizer based neural network for nonlinear channels","authors":"Z. Zerdoumi, D. Chikouche, D. Benatia","doi":"10.1109/ICOSC.2013.6750956","DOIUrl":"https://doi.org/10.1109/ICOSC.2013.6750956","url":null,"abstract":"This paper investigates the application of artificial neural network to the problem of nonlinear channel equalization. The difficulties caused by channel distortions such as inter symbol interference (ISI) and nonlinearity can overcome by nonlinear equalizers employing neural networks. It has been shown that multilayer perceptron based equalizer (MLPE) outperform significantly linear equalizers. We present a multilayer perceptron based equalizer with decision feedback (MLP DFE) trained with the back propagation algorithm. The capacity of the MLP DFE to deal with nonlinear channels is evaluated. It is shown from simulation results that performance of the MLP DFE surpass significantly the MLPE in term of eye pattern quality, steady state mean square error (MSE), and minimum Bit Error Rate (BER). The MLPE equalizer performs poorly on the severe nonlinear channel whereas the MLP DFE equalizer provides the best performance on the two nonlinear channels considered.","PeriodicalId":199135,"journal":{"name":"3rd International Conference on Systems and Control","volume":"2 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":"128634148","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.2013.6750859
B. Targui, I. Bouraoui, T. Ménard, M. Farza, R. Ben Abdennour, M. M'Saad
This paper proposes a state observer with a cas- cade structure for a class of continuous time dynamical systems with non-uniformly sampled delayed output measurements. The first subsystem in the cascade is an impulsive observer which provides an estimation of the delayed state. Each remaining subsystem in the cascade is a predictor, which estimates the state over a small horizon equal to a fraction of the time delay using the previous estimation, allowing thereby the last predictor state to be an estimate of the system actual state. The design of the cascade observer is achieved by assuming a set of conditions under which the exponential convergence of the observation error to the origin is established.
{"title":"Sampled data observer for a class of nonlinear delayed systems","authors":"B. Targui, I. Bouraoui, T. Ménard, M. Farza, R. Ben Abdennour, M. M'Saad","doi":"10.1109/ICOSC.2013.6750859","DOIUrl":"https://doi.org/10.1109/ICOSC.2013.6750859","url":null,"abstract":"This paper proposes a state observer with a cas- cade structure for a class of continuous time dynamical systems with non-uniformly sampled delayed output measurements. The first subsystem in the cascade is an impulsive observer which provides an estimation of the delayed state. Each remaining subsystem in the cascade is a predictor, which estimates the state over a small horizon equal to a fraction of the time delay using the previous estimation, allowing thereby the last predictor state to be an estimate of the system actual state. The design of the cascade observer is achieved by assuming a set of conditions under which the exponential convergence of the observation error to the origin is established.","PeriodicalId":199135,"journal":{"name":"3rd International Conference on Systems and Control","volume":"64 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":"132794668","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.2013.6750887
M. Djeziri, H. Toubakh, M. Ouladsine
The fault prognosis method developed in this work has a horizontal structure, and aims the estimate the RUL by the reconstruction of the fault trend after detecting the degradation beginning. The diagnosis part is realized using a Principal Component Analysis (PCA), the fault reconstruction is done using the fault direction matrix, and the RUL is estimated using an Auto-Regressive Recurrent Radial Based Function (ARRRBF) neural network. The developed method is implemented on a mechatronic system dedicated to the prognosis, which offers the possibility of introducing gradual and controlled degradations.
{"title":"Fault prognosis based on fault reconstruction: Application to a mechatronic system","authors":"M. Djeziri, H. Toubakh, M. Ouladsine","doi":"10.1109/ICOSC.2013.6750887","DOIUrl":"https://doi.org/10.1109/ICOSC.2013.6750887","url":null,"abstract":"The fault prognosis method developed in this work has a horizontal structure, and aims the estimate the RUL by the reconstruction of the fault trend after detecting the degradation beginning. The diagnosis part is realized using a Principal Component Analysis (PCA), the fault reconstruction is done using the fault direction matrix, and the RUL is estimated using an Auto-Regressive Recurrent Radial Based Function (ARRRBF) neural network. The developed method is implemented on a mechatronic system dedicated to the prognosis, which offers the possibility of introducing gradual and controlled degradations.","PeriodicalId":199135,"journal":{"name":"3rd International Conference on Systems and Control","volume":"45 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":"122123242","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.2013.6750958
M. Mokhtari, B. Cherki
This paper proposes a new robust control based on a modified finite time algorithm for the attitude tracking of a quadrotor system to achieve a finite time convergence for all errors states. A complete version of the dynamical system based on Newton-Euler formalism is used. The stability of this algorithm is derived using a strong Lyapunov function technique, this approach allows not only to study more deeply the known properties of finite time convergence and robustness to strong perturbations, but also improve the dynamical performance and reduce the chattering phenomena. The simulation results are provided in order to illustrate the performances of the proposed controller.
{"title":"Robust control for attitude tracking problem for a quadrotor unmanned aerial vehicle","authors":"M. Mokhtari, B. Cherki","doi":"10.1109/ICOSC.2013.6750958","DOIUrl":"https://doi.org/10.1109/ICOSC.2013.6750958","url":null,"abstract":"This paper proposes a new robust control based on a modified finite time algorithm for the attitude tracking of a quadrotor system to achieve a finite time convergence for all errors states. A complete version of the dynamical system based on Newton-Euler formalism is used. The stability of this algorithm is derived using a strong Lyapunov function technique, this approach allows not only to study more deeply the known properties of finite time convergence and robustness to strong perturbations, but also improve the dynamical performance and reduce the chattering phenomena. The simulation results are provided in order to illustrate the performances of the proposed controller.","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":"124663808","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.2013.6750981
Y. Rabhi, M. Mrabet, F. Fnaiech, P. Gorce
The aim of this work is to develop a new method for driving assistance for the disabled persons for which a standard joystick is unable to provide their security. Indeed; a new intelligent control algorithm to drive a wheelchair joystick is proposed. This allows the system able to avoid the unforeseen obstacles when a prescribed trajectory of the wheelchair has to be followed by the system driven by a disabled person and consequently ensures his or her safety. The idea is based on the combination of a fuzzy controller with a Vector Field Histogram (VHF) algorithm providing smooth control of the wheelchair that takes into account wheelchair environment submitted to obstacles and random situations. The superiority of the proposed supervised system with respect to standard existing systems is its ability to automatically react in presence of encountered obstacles.
{"title":"Intelligent joystick for controlling power wheelchair navigation","authors":"Y. Rabhi, M. Mrabet, F. Fnaiech, P. Gorce","doi":"10.1109/ICOSC.2013.6750981","DOIUrl":"https://doi.org/10.1109/ICOSC.2013.6750981","url":null,"abstract":"The aim of this work is to develop a new method for driving assistance for the disabled persons for which a standard joystick is unable to provide their security. Indeed; a new intelligent control algorithm to drive a wheelchair joystick is proposed. This allows the system able to avoid the unforeseen obstacles when a prescribed trajectory of the wheelchair has to be followed by the system driven by a disabled person and consequently ensures his or her safety. The idea is based on the combination of a fuzzy controller with a Vector Field Histogram (VHF) algorithm providing smooth control of the wheelchair that takes into account wheelchair environment submitted to obstacles and random situations. The superiority of the proposed supervised system with respect to standard existing systems is its ability to automatically react in presence of encountered obstacles.","PeriodicalId":199135,"journal":{"name":"3rd International Conference on Systems and Control","volume":"12 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":"125638765","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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