Pub Date : 2017-05-01DOI: 10.1109/ICOSC.2017.7958656
R. Bouchebbat, S. Gherbi
The PID controller is the most used controller in the industry thanks to its simplicity and satisfactory performances, unfortunately there is a class of systems that can't achieve satisfactory performances with a simple PID controller as the nonlinear and the delayed systems. These last years, it appeared a lot of innovative control techniques as the bio-inspired methods, one of the most promising of them is the immune PID controller, it is inspired by the immune system regulating mechanism known by its robustness and self-adaptability. In this paper, the immune feedback mechanism and fuzzy inference are incorporated to design a fuzzy immune PID adaptive controller while the particle swarm optimization (PSO) algorithm is used to optimize its parameters. The simulation results using a main steam temperature system as the controlled plant, verify that the strategy has strong adaptability to the transformation of the system parameters and has advantages of a good time performances and robustness ability.
{"title":"Design and application of fuzzy immune PID adaptive control based on particle swarm optimization in thermal power plants","authors":"R. Bouchebbat, S. Gherbi","doi":"10.1109/ICOSC.2017.7958656","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958656","url":null,"abstract":"The PID controller is the most used controller in the industry thanks to its simplicity and satisfactory performances, unfortunately there is a class of systems that can't achieve satisfactory performances with a simple PID controller as the nonlinear and the delayed systems. These last years, it appeared a lot of innovative control techniques as the bio-inspired methods, one of the most promising of them is the immune PID controller, it is inspired by the immune system regulating mechanism known by its robustness and self-adaptability. In this paper, the immune feedback mechanism and fuzzy inference are incorporated to design a fuzzy immune PID adaptive controller while the particle swarm optimization (PSO) algorithm is used to optimize its parameters. The simulation results using a main steam temperature system as the controlled plant, verify that the strategy has strong adaptability to the transformation of the system parameters and has advantages of a good time performances and robustness ability.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"75 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":"114850501","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.2017.7958686
M. Dahmani, M. Guerti
in this study the Nave Bayes Network NBN classifier is used for automatic vocal folds pathologies detection and classification. The proposed method is based on the acoustic parameters extraction such as Mel Frequency Cepstral Coefficient (MFCC), jitter, shimmer and fundamental frequency which are used as inputs to NBN classifier to discriminate between three different groups: speakers with normal voice, speakers with spasmodic dysphonia and speakers with vocal folds paralysis. For classification we used a variety of voice simples (signal of vowels production) containing simples of the three groups mentioned. Our study is developed around Saarbruecken Voice Database (SVD) it is an open German database containing deferent samples, words, sentences of normal and pathological voice. The classification rate of the developed detection system is 90%.
{"title":"Vocal folds pathologies classification using Naïve Bayes Networks","authors":"M. Dahmani, M. Guerti","doi":"10.1109/ICOSC.2017.7958686","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958686","url":null,"abstract":"in this study the Nave Bayes Network NBN classifier is used for automatic vocal folds pathologies detection and classification. The proposed method is based on the acoustic parameters extraction such as Mel Frequency Cepstral Coefficient (MFCC), jitter, shimmer and fundamental frequency which are used as inputs to NBN classifier to discriminate between three different groups: speakers with normal voice, speakers with spasmodic dysphonia and speakers with vocal folds paralysis. For classification we used a variety of voice simples (signal of vowels production) containing simples of the three groups mentioned. Our study is developed around Saarbruecken Voice Database (SVD) it is an open German database containing deferent samples, words, sentences of normal and pathological voice. The classification rate of the developed detection system is 90%.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"51 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114033172","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.2017.7958670
L. Noureddine, A. Kouzou, M. Guemana, A. Hafaifa
In this study we investigate the possibility of rotor broken bar fault detection in squirrel cage induction generator of a wind turbine using spectral analysis of the stator currents. The numerical method, presented in this work, based on the Hilbert Huang transform shows the possibility of improving the detection of faults in electrical machines. Using the Hilbert Huang transform analyses the stator current signal using intrinsic mode functions, which are extracted using the process of empirical mode decomposition. However, the use of Hilbert transform based time domain approach in Hilbert Huang transform for analysis of stator current signature leads to scope for subjective error in calculation of characteristic defect frequencies of the broken rotor bars.
{"title":"Faults detection in squirrel cage induction generator rotor on wind turbine: Hilbert Huang transform application","authors":"L. Noureddine, A. Kouzou, M. Guemana, A. Hafaifa","doi":"10.1109/ICOSC.2017.7958670","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958670","url":null,"abstract":"In this study we investigate the possibility of rotor broken bar fault detection in squirrel cage induction generator of a wind turbine using spectral analysis of the stator currents. The numerical method, presented in this work, based on the Hilbert Huang transform shows the possibility of improving the detection of faults in electrical machines. Using the Hilbert Huang transform analyses the stator current signal using intrinsic mode functions, which are extracted using the process of empirical mode decomposition. However, the use of Hilbert transform based time domain approach in Hilbert Huang transform for analysis of stator current signature leads to scope for subjective error in calculation of characteristic defect frequencies of the broken rotor bars.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"96 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":"128727578","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.2017.7958663
Z. Fenchouche, Messaoud Chakir, O. Benzineb, M. Boucherit, M. Tadjine
In this paper, a design of robust controller based on Coefficient diagram method is investigated, to be used to control the outlet temperature of a solar plant based on cylindrical-parabolic collectors. It is noted that although the responses of the control system satisfy both transient and steady state specifications, the transient response generally still has long response time. In order to improve the speed of the system response, a PID controller is added into the controller designed by CDM. The design of both of CDM and PID controllers is done with a linearization of the nonlinear uncertain system described by two Partial differential equations around an operating point of the real system, then the designed controllers will be applied to the nonlinear system. The simulation results show that the performance of the controller based on CDM combined with PID has short response time, with no overshoot and the best perturbation rejection properties.
{"title":"Robust controller design for solar plant using extended Coefficient diagram method (CDM) incorporating PID","authors":"Z. Fenchouche, Messaoud Chakir, O. Benzineb, M. Boucherit, M. Tadjine","doi":"10.1109/ICOSC.2017.7958663","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958663","url":null,"abstract":"In this paper, a design of robust controller based on Coefficient diagram method is investigated, to be used to control the outlet temperature of a solar plant based on cylindrical-parabolic collectors. It is noted that although the responses of the control system satisfy both transient and steady state specifications, the transient response generally still has long response time. In order to improve the speed of the system response, a PID controller is added into the controller designed by CDM. The design of both of CDM and PID controllers is done with a linearization of the nonlinear uncertain system described by two Partial differential equations around an operating point of the real system, then the designed controllers will be applied to the nonlinear system. The simulation results show that the performance of the controller based on CDM combined with PID has short response time, with no overshoot and the best perturbation rejection properties.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"2007 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":"128943120","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.2017.7958718
M. O. F. D. Oliveira, Marcos R. Fernandes, R. F. Souto
This paper presents some design aspects related to the construction of a Low-cost Prototype of Twin Rotor MIMO System (TRMS) for the purpose of academic studies. Filtering and data fusion are used to extract reliable angles measurements from the sensors. The mathematical modeling of the prototype is done, and its parameters are obtained with linear identification, allowing the design of a feedback LQG controller. The proposed LQG controller is compared with a PID controller tuned by Genetic Algorithm (GA) in preliminary tracking experiments. The advantages of the LQG control is showed both in simulation and on the real set-up.
{"title":"Implementation of a Low-cost Prototype of Twin Rotor for academic studies in identification, optimal control and stochastic filtering","authors":"M. O. F. D. Oliveira, Marcos R. Fernandes, R. F. Souto","doi":"10.1109/ICOSC.2017.7958718","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958718","url":null,"abstract":"This paper presents some design aspects related to the construction of a Low-cost Prototype of Twin Rotor MIMO System (TRMS) for the purpose of academic studies. Filtering and data fusion are used to extract reliable angles measurements from the sensors. The mathematical modeling of the prototype is done, and its parameters are obtained with linear identification, allowing the design of a feedback LQG controller. The proposed LQG controller is compared with a PID controller tuned by Genetic Algorithm (GA) in preliminary tracking experiments. The advantages of the LQG control is showed both in simulation and on the real set-up.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"1 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":"128653645","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.2017.7958684
Abdelhafid Zenati, Messaoud Chakir, M. Tadjine
Mathematical models are a powerful research tool that can be applied to understanding leukemia. They have been applied to evaluate existing therapies and to suggest new ones. In this paper, we propose a therapy approach based on an optimal control which minimizes the number of cancerous cells and the side effects of the treatment. To this end, we use a nonlinear distributed delay system obtained from the original model. We first prove that there exists an optimal control that eradicates the cancerous cells. Then, applying the maximum principle of Pontryagin, we design the optimal control based therapy to treat Myelode Acute Leukemia. Simulation based on realistics cases are conducted to illustrate the obtained results.
{"title":"Optimal control of a coupled model for healthy and cancerous cells dynamics in Acute Myeloid Leukemia - a therapy approach","authors":"Abdelhafid Zenati, Messaoud Chakir, M. Tadjine","doi":"10.1109/ICOSC.2017.7958684","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958684","url":null,"abstract":"Mathematical models are a powerful research tool that can be applied to understanding leukemia. They have been applied to evaluate existing therapies and to suggest new ones. In this paper, we propose a therapy approach based on an optimal control which minimizes the number of cancerous cells and the side effects of the treatment. To this end, we use a nonlinear distributed delay system obtained from the original model. We first prove that there exists an optimal control that eradicates the cancerous cells. Then, applying the maximum principle of Pontryagin, we design the optimal control based therapy to treat Myelode Acute Leukemia. Simulation based on realistics cases are conducted to illustrate the obtained results.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"3 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":"128179466","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.2017.7958702
Ameni Kchaou, A. Ayadi, A. Naamane, N. M'Sirdi, Y. Koubaa
This paper presents a photovoltaic (PV) system with an adaptive sliding mode control based maximum power point tracking (MPPT) algorithm. The main aim of this work is to maximize power extraction from the photovoltaic generator. A novel method, which is able to achieve this aim, is presented by using an adaptive sliding mode controller (ASMC) that drives a boost converter connected between the PV generator and the load. Both robustness and stability of the ASMC controller are investigated against weather changing conditions. Simulation results with real data, under MATLAB-SIMULINK, are given to demonstrate the effectiveness of the proposed approach.
{"title":"An Adaptive Sliding Mode Control based Maximum power point tracking method for a PV stand-alone system","authors":"Ameni Kchaou, A. Ayadi, A. Naamane, N. M'Sirdi, Y. Koubaa","doi":"10.1109/ICOSC.2017.7958702","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958702","url":null,"abstract":"This paper presents a photovoltaic (PV) system with an adaptive sliding mode control based maximum power point tracking (MPPT) algorithm. The main aim of this work is to maximize power extraction from the photovoltaic generator. A novel method, which is able to achieve this aim, is presented by using an adaptive sliding mode controller (ASMC) that drives a boost converter connected between the PV generator and the load. Both robustness and stability of the ASMC controller are investigated against weather changing conditions. Simulation results with real data, under MATLAB-SIMULINK, are given to demonstrate the effectiveness of the proposed approach.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"24 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":"128383902","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.2017.7958648
Abderrahmane Gaidi, H. Lehouche, S. Belkacemi, S. Tahraoui, Mourad Loucif, Ouahib Guenounou
A Backstepping adaptive control is proposed in this paper in order to raise the extraction of power in variable speed wind turbine in region two. This wind turbine is modeled by two masses drive-train with generator torque control. By using the model obtained, an algorithm of adaptive Backstepping has been designed to achieve the global asymptotic generator with speed tracking and to estimate the unknown parameter of viscous friction coefficient. A numerical simulation studies are presented to verify the efficiency of this control approach, if we add disturbances to take advantage of this control.
{"title":"Adaptive Backstepping control of wind turbine two mass model","authors":"Abderrahmane Gaidi, H. Lehouche, S. Belkacemi, S. Tahraoui, Mourad Loucif, Ouahib Guenounou","doi":"10.1109/ICOSC.2017.7958648","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958648","url":null,"abstract":"A Backstepping adaptive control is proposed in this paper in order to raise the extraction of power in variable speed wind turbine in region two. This wind turbine is modeled by two masses drive-train with generator torque control. By using the model obtained, an algorithm of adaptive Backstepping has been designed to achieve the global asymptotic generator with speed tracking and to estimate the unknown parameter of viscous friction coefficient. A numerical simulation studies are presented to verify the efficiency of this control approach, if we add disturbances to take advantage of this control.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"1 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":"129511677","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.2017.7958678
M. Boudjellal, R. Illoul
The aim of this paper is to design a high-gain with a higher order sliding mode (super-twisting) observer-based outputs and faults estimations for a continuous stirred tank reactor (CSTR). The high-gain observer is used in nominal plant for observing the system states. Whereas the adaptive-gain super-twisting is proposed to tackle system faults and therefore can be reconstructed from the equivalent output error injection signal. The designed observer thanks to the higher order sliding mode allows reconstructing faults without chattering effect caused by traditional sliding mode. The global observer convergence is proved using the Lyapunov theory. Simulations results show the effeteness of the observer adopted in this paper
{"title":"High-order sliding mode and high-gain observers for state estimation and fault reconstruction for a nonlinear CSTR","authors":"M. Boudjellal, R. Illoul","doi":"10.1109/ICOSC.2017.7958678","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958678","url":null,"abstract":"The aim of this paper is to design a high-gain with a higher order sliding mode (super-twisting) observer-based outputs and faults estimations for a continuous stirred tank reactor (CSTR). The high-gain observer is used in nominal plant for observing the system states. Whereas the adaptive-gain super-twisting is proposed to tackle system faults and therefore can be reconstructed from the equivalent output error injection signal. The designed observer thanks to the higher order sliding mode allows reconstructing faults without chattering effect caused by traditional sliding mode. The global observer convergence is proved using the Lyapunov theory. Simulations results show the effeteness of the observer adopted in this paper","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":"124766482","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.2017.7958659
Djari Abdelhamid, Bouarroudj Noureddine, V. F. Batlle, Boukhetala Djamel, Fares Bodjema
in this paper a combination between fractional order sliding mode control (FOSMC) and pole-placement is introduced for non-linear systems with uncertain disturbances. A sliding surface with a fractional order PID form is given, in which the eigenvalues of the reduced state equation of the errors are forced to be negative via the pole-placement method. The control law is designed based on the Lyapunov stability condition and the fractional order calculus properties. In the simulation results, a comparison between our FOSMC controller and an integer order sliding mode control (IOSMC) for an inverted pendulum system demonstrates the better performance of our proposal.
{"title":"Fractional order sliding mode control with pole-placement for non-linear systems with uncertain disturbances","authors":"Djari Abdelhamid, Bouarroudj Noureddine, V. F. Batlle, Boukhetala Djamel, Fares Bodjema","doi":"10.1109/ICOSC.2017.7958659","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958659","url":null,"abstract":"in this paper a combination between fractional order sliding mode control (FOSMC) and pole-placement is introduced for non-linear systems with uncertain disturbances. A sliding surface with a fractional order PID form is given, in which the eigenvalues of the reduced state equation of the errors are forced to be negative via the pole-placement method. The control law is designed based on the Lyapunov stability condition and the fractional order calculus properties. In the simulation results, a comparison between our FOSMC controller and an integer order sliding mode control (IOSMC) for an inverted pendulum system demonstrates the better performance of our proposal.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"30 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":"123337143","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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