Pub Date : 2017-05-01DOI: 10.1109/ICOSC.2017.7958717
Karima Rabah, S. Ladaci
This note proposes a novel Fractional Sliding Mode Control (FASMC) scheme design with an adaptive control law for the synchronization of two nonlinear fractional-order Arneodo-type chaotic systems. Following the SMC control methodology, a fractional order dynamical sliding surface is defined and a new self-tuning control law with an adaptive gain is proposed. The resulting sliding mode controller is able to make a fractional chaotic system with state uncertainties (slave system) follow another fractional-order chaotic system (master system) without important oscillations. The proposed design development provides a stability analysis using Lyapunov theory and a numerical example is presented to demonstrate the effectiveness of this fractional adaptive control methodology.
{"title":"A novel fractional order adaptive Sliding Mode Controller design for chaotic Arneodo systems synchronization","authors":"Karima Rabah, S. Ladaci","doi":"10.1109/ICOSC.2017.7958717","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958717","url":null,"abstract":"This note proposes a novel Fractional Sliding Mode Control (FASMC) scheme design with an adaptive control law for the synchronization of two nonlinear fractional-order Arneodo-type chaotic systems. Following the SMC control methodology, a fractional order dynamical sliding surface is defined and a new self-tuning control law with an adaptive gain is proposed. The resulting sliding mode controller is able to make a fractional chaotic system with state uncertainties (slave system) follow another fractional-order chaotic system (master system) without important oscillations. The proposed design development provides a stability analysis using Lyapunov theory and a numerical example is presented to demonstrate the effectiveness of this fractional adaptive control methodology.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"98 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":"131446436","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.2017.7958676
M. Celebi, M. Dogruel
Harmonic Control Arrays (HCA) is a technique that is based on adjusting the harmonic components of the control signal for systems with periodic references and disturbances. In this study, a microcontroller implementation of the HCA method, the algorithm, and the results has been represented. A first order system, consisting of a resistor and a capacitor has chosen as the plant, and a periodic reference signal have been applied on it.
{"title":"Microcontroller implementation of a Harmonic Control Arrays system","authors":"M. Celebi, M. Dogruel","doi":"10.1109/ICOSC.2017.7958676","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958676","url":null,"abstract":"Harmonic Control Arrays (HCA) is a technique that is based on adjusting the harmonic components of the control signal for systems with periodic references and disturbances. In this study, a microcontroller implementation of the HCA method, the algorithm, and the results has been represented. A first order system, consisting of a resistor and a capacitor has chosen as the plant, and a periodic reference signal have been applied on it.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"45 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":"131108639","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.2017.7958680
Toufik Tarif, A. A. Ladjici, Y. Chabane
This paper proposes a multi-objective methodology for the determination of optimal placement and tuning of power system stabilizers (PSS), two objectives are considered: the optimal location with a minimum number of PSS and maximum damping. The objectives are in conflict with each other in multi-objectives problems. Instead of a unique optimal solution, it exists a set of best tradeoffs between competing objectives, the so-called Pareto-optimal solutions. The main idea behind the paper, is to use a Nested Evolution Strategy (ES) to explore all the possible Pareto-optimal solutions in order to find the best compromise between performance (electromechanical oscillations damping) and cost (the number of PSS to be placed). The proposed algorithm is tested in the IEEE 68-bus system where the Pareto front has been successfully approximated by the Nested-ES.
{"title":"A multi-objective approach to PSS optimal tuning and placement for small-signal stability enhancement","authors":"Toufik Tarif, A. A. Ladjici, Y. Chabane","doi":"10.1109/ICOSC.2017.7958680","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958680","url":null,"abstract":"This paper proposes a multi-objective methodology for the determination of optimal placement and tuning of power system stabilizers (PSS), two objectives are considered: the optimal location with a minimum number of PSS and maximum damping. The objectives are in conflict with each other in multi-objectives problems. Instead of a unique optimal solution, it exists a set of best tradeoffs between competing objectives, the so-called Pareto-optimal solutions. The main idea behind the paper, is to use a Nested Evolution Strategy (ES) to explore all the possible Pareto-optimal solutions in order to find the best compromise between performance (electromechanical oscillations damping) and cost (the number of PSS to be placed). The proposed algorithm is tested in the IEEE 68-bus system where the Pareto front has been successfully approximated by the Nested-ES.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"20 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":"133552648","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.2017.7958692
A. Ammar, A. Bourek, A. Benakcha, T. Ameid
This paper deals with improvement of Direct Torque Control strategy for induction motor (IM) drive. Since the main disadvantages of the classical DTC are high torque/flux ripples and current distortion, this paper inserts the space vector modulation in order to reduce the ripples by maintaining a constant switching frequency. Besides, the fuzzy logic controllers will replace the traditional proportional-integral (PI) controllers for stator flux and torque regulation and to ensure an accurate reference tracking and a robust response against different uncertainties such as external disturbance and parameters variation. Furthermore, a stator flux based Model Reference Adaptive System (SF-MRAS) is designed as a sensorless algorithm for the estimation of rotor speed. This estimator can improve the performance of the controlled system by increasing its reliability and decreasing the cost of the speed sensor. The global control algorithm has been investigated via numerical simulation and real-time experimentation using Matlab/Simulink with dSpace 1104 signal card.
{"title":"Sensorless stator field oriented-direct torque control with SVM for induction motor based on MRAS and fuzzy logic regulation","authors":"A. Ammar, A. Bourek, A. Benakcha, T. Ameid","doi":"10.1109/ICOSC.2017.7958692","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958692","url":null,"abstract":"This paper deals with improvement of Direct Torque Control strategy for induction motor (IM) drive. Since the main disadvantages of the classical DTC are high torque/flux ripples and current distortion, this paper inserts the space vector modulation in order to reduce the ripples by maintaining a constant switching frequency. Besides, the fuzzy logic controllers will replace the traditional proportional-integral (PI) controllers for stator flux and torque regulation and to ensure an accurate reference tracking and a robust response against different uncertainties such as external disturbance and parameters variation. Furthermore, a stator flux based Model Reference Adaptive System (SF-MRAS) is designed as a sensorless algorithm for the estimation of rotor speed. This estimator can improve the performance of the controlled system by increasing its reliability and decreasing the cost of the speed sensor. The global control algorithm has been investigated via numerical simulation and real-time experimentation using Matlab/Simulink with dSpace 1104 signal card.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"63 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":"130131892","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.2017.7958728
Loubna Merazka, Farouk ZOUARI, A. Boulkroune
We develop a fuzzy adaptive output-feedback control methodology for unknown nonlinear multivariable systems for which the input gains matrix is characterized by non-zero leading principle minors but not necessary symmetric. An high-gain (HG) observer is introduced to estimate the immeasurable states. A linear in parameters fuzzy system is adequately employed to model the uncertainties. A matrix factorization, so-called SDU, is used when designing the controller to factor the input gains matrix. An appropriate Lyapunov function is exploited to study the stability of the corresponding closed-loop control system as well as to derive the adaptation laws. A 2 DOF helicopter system is used to validate, in a simulation framework, the performances of our developed control approach.
{"title":"High-gain observer-based adaptive fuzzy control for a class of multivariable nonlinear systems","authors":"Loubna Merazka, Farouk ZOUARI, A. Boulkroune","doi":"10.1109/ICOSC.2017.7958728","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958728","url":null,"abstract":"We develop a fuzzy adaptive output-feedback control methodology for unknown nonlinear multivariable systems for which the input gains matrix is characterized by non-zero leading principle minors but not necessary symmetric. An high-gain (HG) observer is introduced to estimate the immeasurable states. A linear in parameters fuzzy system is adequately employed to model the uncertainties. A matrix factorization, so-called SDU, is used when designing the controller to factor the input gains matrix. An appropriate Lyapunov function is exploited to study the stability of the corresponding closed-loop control system as well as to derive the adaptation laws. A 2 DOF helicopter system is used to validate, in a simulation framework, the performances of our developed control approach.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114861030","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.2017.7958743
Karima Hammar, T. Djamah, M. Bettayeb
Identification of fractional Hammerstein controlled autoregressive systems (HCAR) is considered in this work. This system consists of a memoryless nonlinear sub-system followed by a fractional CAR subsystem. A nonlinear optimization algorithm is developed in order to estimate the system parameters as well as the fractional order. To illustrate the method efficiency, different simulations are performed at various signal to noise ratios.
{"title":"Fractional Hammerstein CAR system identification","authors":"Karima Hammar, T. Djamah, M. Bettayeb","doi":"10.1109/ICOSC.2017.7958743","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958743","url":null,"abstract":"Identification of fractional Hammerstein controlled autoregressive systems (HCAR) is considered in this work. This system consists of a memoryless nonlinear sub-system followed by a fractional CAR subsystem. A nonlinear optimization algorithm is developed in order to estimate the system parameters as well as the fractional order. To illustrate the method efficiency, different simulations are performed at various signal to noise ratios.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"60 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":"114865481","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.2017.7958715
Hanen Chenini
In this article, we propose a new optimized embedded architecture based soft-core processors oriented to visual attention based object recognition applications. Our recognition approach relies mainly on two specific modules for online processing of acquired images in real-time: a novel saliency based feature detector/descriptor module and then an object classifier module. To deal with such parallel/pipeline image processing tasks, we have designed a new multistage architecture, which is implementing on FPGA chip leading ultimately to a faster prototyping of this proposed architecture without ASIC (Application Specific Integrated Circuit) related problems. the resulting FPGA implementations demonstrate that the proposed homogeneous pipelined systems achieve significant speedups compared to the original serial implementation and delivers a high reduction of the memory and FPGA resource utilization on an image of 256 × 256 pixels at up to 100 frames/s.
{"title":"An embedded FPGA architecture for efficient visual saliency based object recognition implementation","authors":"Hanen Chenini","doi":"10.1109/ICOSC.2017.7958715","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958715","url":null,"abstract":"In this article, we propose a new optimized embedded architecture based soft-core processors oriented to visual attention based object recognition applications. Our recognition approach relies mainly on two specific modules for online processing of acquired images in real-time: a novel saliency based feature detector/descriptor module and then an object classifier module. To deal with such parallel/pipeline image processing tasks, we have designed a new multistage architecture, which is implementing on FPGA chip leading ultimately to a faster prototyping of this proposed architecture without ASIC (Application Specific Integrated Circuit) related problems. the resulting FPGA implementations demonstrate that the proposed homogeneous pipelined systems achieve significant speedups compared to the original serial implementation and delivers a high reduction of the memory and FPGA resource utilization on an image of 256 × 256 pixels at up to 100 frames/s.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"29 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":"133088132","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.2017.7958664
Fethi Demim, Abdelghani Boucheloukh, A. Nemra, Kahina Louadj, M. Hamerlain, A. Bazoula, Zakaria Mehal
This paper aims at presenting a solution to the Simultaneous Localization and Mapping (SLAM) problem of Unmanned Ground Vehicles (UGV) by combining information given by an odometer and a laser range finder. The most popular solutions to the SLAM problem are EKF-SLAM and the FAST-SLAM algorithms. The first one solution, have some important limitations which have need of an accurate process and an observation model, be affected by the linearization problem, the second is not suitable for real time implementation. Therefore, a new adaptive approach based on the Smooth Variable Structure Filter (ASVSF) is proposed to solve the UGV SLAM problem. Hence, the adaptive SVSF-SLAM algorithm is proposed with an original formulation. The main contribution of this paper is to introduce a covariance matrix to assess the estimated uncertainty of the SVSF. This new robust algorithm is validated, compared to EKF/SVSF-SLAMalgorithms and the satisfactory values of the UGV position error are obtained. Simulation results demonstrated that the proposed adaptive SVSF-SLAM algorithm is very robust face modeling uncertainties and noises and it has significantly improved the performance of the estimation process.
{"title":"A new adaptive smooth variable structure filter SLAM algorithm for unmanned vehicle","authors":"Fethi Demim, Abdelghani Boucheloukh, A. Nemra, Kahina Louadj, M. Hamerlain, A. Bazoula, Zakaria Mehal","doi":"10.1109/ICOSC.2017.7958664","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958664","url":null,"abstract":"This paper aims at presenting a solution to the Simultaneous Localization and Mapping (SLAM) problem of Unmanned Ground Vehicles (UGV) by combining information given by an odometer and a laser range finder. The most popular solutions to the SLAM problem are EKF-SLAM and the FAST-SLAM algorithms. The first one solution, have some important limitations which have need of an accurate process and an observation model, be affected by the linearization problem, the second is not suitable for real time implementation. Therefore, a new adaptive approach based on the Smooth Variable Structure Filter (ASVSF) is proposed to solve the UGV SLAM problem. Hence, the adaptive SVSF-SLAM algorithm is proposed with an original formulation. The main contribution of this paper is to introduce a covariance matrix to assess the estimated uncertainty of the SVSF. This new robust algorithm is validated, compared to EKF/SVSF-SLAMalgorithms and the satisfactory values of the UGV position error are obtained. Simulation results demonstrated that the proposed adaptive SVSF-SLAM algorithm is very robust face modeling uncertainties and noises and it has significantly improved the performance of the estimation process.","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":"130196036","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.2017.7958701
Chouaib Ammari, M. Hamouda, S. Makhloufi
In this work, a hybrid system has been simulated and optimized, this system is composed with three generators, two on renewable energy (solar and wind power) and a diesel generator. This central distributes energy to a small village in southwest of Algeria named “Timiaouine”, this central has been sized using mathematic parameter and repartition of consumption for 24 hours in both seasons; winter and summer. The simulation has been done using Matlab/ Simulink. Results show that hybrid central produces energy from renewable resources more than fossil resource (diesel) and the whole consumption of the village has been covered.
{"title":"Sizing, modeling and simulation for hybrid central based on three generator in southwest Algeria","authors":"Chouaib Ammari, M. Hamouda, S. Makhloufi","doi":"10.1109/ICOSC.2017.7958701","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958701","url":null,"abstract":"In this work, a hybrid system has been simulated and optimized, this system is composed with three generators, two on renewable energy (solar and wind power) and a diesel generator. This central distributes energy to a small village in southwest of Algeria named “Timiaouine”, this central has been sized using mathematic parameter and repartition of consumption for 24 hours in both seasons; winter and summer. The simulation has been done using Matlab/ Simulink. Results show that hybrid central produces energy from renewable resources more than fossil resource (diesel) and the whole consumption of the village has been covered.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"10 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":"127864167","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.2017.7958739
I. Ameur, M. Bougrine, M. Benmiloud, A. Benalia
In this paper, a characterization of the optimal limit cycles in the two-phase interleaved boost converter (2IBC) is presented. The 2IBC inherits the role of the conventional boost converter with other special benefits such as reducing the current and voltage stress, and sharing the input current between two identical phases. Unlike the conventional boost converter, for some given operating point and fixed switching frequency, there exist for the 2IBC an infinity of possible limit cycles of which only one is optimal with respect to the input current ripple. This limit cycle is characterized in all possible conduction modes, as a first step for its stabilization. The optimal limit cycle is characterized by a special execution of the hybrid automaton of the 2IBC.
{"title":"Characterization of optimal limit cycles in the two-interleaved boost converter","authors":"I. Ameur, M. Bougrine, M. Benmiloud, A. Benalia","doi":"10.1109/ICOSC.2017.7958739","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958739","url":null,"abstract":"In this paper, a characterization of the optimal limit cycles in the two-phase interleaved boost converter (2IBC) is presented. The 2IBC inherits the role of the conventional boost converter with other special benefits such as reducing the current and voltage stress, and sharing the input current between two identical phases. Unlike the conventional boost converter, for some given operating point and fixed switching frequency, there exist for the 2IBC an infinity of possible limit cycles of which only one is optimal with respect to the input current ripple. This limit cycle is characterized in all possible conduction modes, as a first step for its stabilization. The optimal limit cycle is characterized by a special execution of the hybrid automaton of the 2IBC.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"5 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":"131990431","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}