{"title":"Simulation and control of Solar Wind hybrid renewable power system","authors":"A. Saidi, C. Benachaiba","doi":"10.1109/ICOSC.2017.7958647","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958647","url":null,"abstract":"The sun and wind based generation are well-thoroughly considered to be alternate source of green power generation which can mitigate the power demand issues. This paper introduces a standalone hybrid power generation system consisting of solar and permanent magnet synchronous generator (PMSG) wind power sources and a AC load. A supervisory control unit, designed to execute maximum power point tracking (MPPT), is introduced to maximize the simultaneous energy harvesting from overall power generation under different climatic conditions. Two contingencies are considered and categorized according to the power generation from each energy source, and the load requirement. In PV system Perturb & Observe (P&O) algorithm is used as control logic for the Maximum Power Point Tracking (MPPT) controller and Hill Climb Search (HCS) algorithm is used as MPPT control logic for the Wind power system in order to maximizing the power generated. The Fuzzy logic control scheme of the inverter is intended to keep the load voltage and frequency of the AC supply at constant level regardless of progress in natural conditions and burden. A Simulink model of the proposed Hybrid system with the MPPT controlled Boost converters and Voltage regulated Inverter for stand-alone application is developed in MATLAB.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127700947","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}
Bilal Djamal Eddine Cherif, A. Bendiabdellah, Khelif Mohamed Amine, M. Bendjebbar, Benouzza Noureddine
{"title":"The enhancement of park current vectors technique for inverter fault detection","authors":"Bilal Djamal Eddine Cherif, A. Bendiabdellah, Khelif Mohamed Amine, M. Bendjebbar, Benouzza Noureddine","doi":"10.1109/ICOSC.2017.7958646","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958646","url":null,"abstract":"This paper work addresses the enhancement of this technique by associating it the polar coordinates as a proposed tool for a better detection and location of the faulty inverter switch. The proposed use of the polar coordinates tool not only allows the exact computation of both the magnitude and the phase angle values of the fault current vector allied to the faulty inverter IGBT but also enables to develop a simple graphical representation to facilitate the detection and location of the inverter fault by using a fault current vector representation instead of a trajectory representation as that in Park's vectors technique. To illustrate the merits and effectiveness of the enhanced detection Park's current technique, several simulation results are obtained and then validated by employing the experimental test-rig realized by the ‘diagnostic group’ in our LDEE laboratory.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128093151","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}
K. C. Draa, H. Voos, M. Alma, A. Zemouche, M. Darouach
{"title":"LMI-based discrete-time nonlinear state observer for an anaerobic digestion model","authors":"K. C. Draa, H. Voos, M. Alma, A. Zemouche, M. Darouach","doi":"10.1109/ICOSC.2017.7958714","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958714","url":null,"abstract":"This paper deals with the design of a discrete time nonlinear observer for an anaerobic digestion process. The designed observer is devoted to a general class of systems, precisely linear systems, LPV systems with known and bounded parameters, and nonlinear Lipschitz systems. In order to ensure stability of the estimation error, a new LMI condition is proposed. In this LMI, additional decision variables are included to enhance its feasibility. Indeed, this was possible due to the use of a suitable reformulation of the Young's inequality. Numerical simulations using the investigated two-step anaerobic digestion model show the effectiveness of the proposed LMI methodology.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129580372","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}
{"title":"An improved QRS detection method using Hidden Markov Models","authors":"M. Belkadi, A. Daamouche","doi":"10.1109/ICOSC.2017.7958696","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958696","url":null,"abstract":"Hidden Markov Models are very efficient in speech recognition. Based on machine states, HMMs combine Bayesian probability and decision making to approximate each output to its appropriate class. In this paper, we propose to use HMMs for ECG QRS detection. We select a set of models to represent QRS complex and noise aiming to a better discrimination between them. For a total of 44510 beats of the MIT/BIH arrhythmia database, we achieved 0.741% of error rate.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"12 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":"125545140","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}
{"title":"Differential evolution based identification of the LuGre friction model in the cart motion of an inverted pendulum system","authors":"H. Megherbi, A. C. Megherbi","doi":"10.1109/ICOSC.2017.7958643","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958643","url":null,"abstract":"This paper discusses the off-line identification of friction encountered in the cart motion of an inverted pendulum system. A LuGre model is chosen as the parametric model to represent this phenomenon. We propose an identification technique based on a differential evolution algorithm. The proposed identification technique distinguishes itself from the previous works by optimizing both of the static and the dynamic parameters simultaneously. This fact is possible through adopting closed loop identification where the velocity is controlled and using a sequence of static and dynamic signals as the reference signal to enhance the effects of the different friction phenomena. The simulation results demonstrate that the proposed differential evolution based identification method is effective in finding the parameters precisely despite the nonlinearity of the LuGre friction model and the coupling between the parameters.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"39 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":"122712870","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}
Lyes Tighzert, Thafsouth Aguercif, C. Fonlupt, B. Mendil
{"title":"Intelligent trajectory planning and control of a humanoid robot using a new elitism-based Selfish Gene Algorithm","authors":"Lyes Tighzert, Thafsouth Aguercif, C. Fonlupt, B. Mendil","doi":"10.1109/ICOSC.2017.7958732","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958732","url":null,"abstract":"The current development in science and civilization consists of searching for solutions to enhance our life, security, economy, finance and health while protecting environment. In recent years, we have witnessed the arrival of complex machines with structures similar to humans known as humanoid robots. The combination of these technologies and optimization technics may result in robust, safe, reliable, and flexible machines that can substitute for humans in multiple difficult tasks. In order to contribute to this topic, we propose two new evolutionary algorithms based on the selfish gene theory and elitism strategies. Therefore, permanent elitism-based selfish gene algorithm (peSGA) and nonpermanent elitism based selfish gene algorithm (neSGA) are proposed. In order to validate and to evaluate the performance peSGA and neSGA, a numerical experiment is performed using IEEE CEC 2014 functions. The obtained results show that the proposed algorithms are very competitive. Furthermore, evolutionary optimization of a walking robot is formulated. The proposed algorithms are applied to the generation and control of the optimal motion of a humanoid robot.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"61 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":"114192076","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}
{"title":"Finite set MPC control of two level inverter for PV/battery grid-connected system","authors":"M. Habib, A. A. Ladjici, E. Bollin","doi":"10.1109/ICOSC.2017.7958673","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958673","url":null,"abstract":"This work proposes and simulates a finite set model predictive control technique for the photovoltaic inverter. The power topology is a 30 KW PV array with two power conversion stages: DC/DC boost converter controlled with maximum power point tracking to extract the maximum available photovoltaic power and two-level voltage source inverter with passive filter to convert direct current to alternative current and inject it into a medium voltage grid via a transformer, a 30 KW lead-acid batteries system connected to the inverter DC bus through buck-boost converter. Two control levels appear for the inverter: a simple hysteresis-based power management which sends the power reference to the second level according to the battery state of charge value. The second level is a finite set model predictive controller which makes the inverter inject desired high-quality currents according to the reference. This technique doesn't need a modular for switching and the digital simulation with MATLAB/Simulink software proves the performance of MPC controller in term of injected currents quality with THD value of 0.91% compared to conventional hysteresis controller with THD of 1.57%.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"16 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":"129714857","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}
A. Belaout, F. Krim, B. Talbi, H. Feroura, Abdelbaset Laib, S. Bouyahia, A. Arabi
{"title":"Development of real time emulator for control and diagnosis purpose of Photovoltaic Generator","authors":"A. Belaout, F. Krim, B. Talbi, H. Feroura, Abdelbaset Laib, S. Bouyahia, A. Arabi","doi":"10.1109/ICOSC.2017.7958653","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958653","url":null,"abstract":"this paper proposes a real time emulator for Photovoltaic Generator (PVG), permitting easy experimentation, for control and diagnosis algorithms tests. The DS1104 platform is utilized in order to implement the model developed in Matlab/Simulink software. The APS1102A Programmable DC/AC Power Source is utilized to emulate the current-voltage characteristics of the PVG model implemented in the DS1104 platform. The proposed emulator is tested and validated by considering real conditions variations (namely, temperature and irradiance), and as well as, by injecting some frequently occurring PVG faults. The PVG emulator proposed shows a perfect reproduction of the current-voltage (I–V) characteristics, and can easily handle control and diagnostic algorithms.","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":"128745870","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}
{"title":"Sliding mode control of three-level NPC inverter based grid-connected photovoltaic system","authors":"A. Bouzidi, M. L. Bendaas, S. Barkat, M. Bouzidi","doi":"10.1109/ICOSC.2017.7958711","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958711","url":null,"abstract":"This paper presents a sliding mode control method of a three-phase three-level neutral point clamped (NPC) inverter based grid connected photovoltaic system. The three-level NPC inverter is forced to deliver just active power to the grid and regulates its self-sustaining DC bus voltages using three sliding mode controllers. The three-level space vector modulation is used in order to turn-on and turn-off the inverter switches and to ensure also the balance of the DC capacitor voltages. The three-level NPC inverter is connected to the photovoltaic panel through a DC/DC converter. For the optimum use of the PV module, a maximum power point tracking (MPPT) controller is used which enables the maximum power extraction under varying irradiation and temperature conditions. Finally, the effectiveness of the proposed control system is demonstrated with Matlab/Simulink simulations.","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":"129020235","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}
Mohammed Khodja, M. Tadjine, M. Boucherit, M. Benzaoui
{"title":"Experimental dynamics identification and control of a quadcopter","authors":"Mohammed Khodja, M. Tadjine, M. Boucherit, M. Benzaoui","doi":"10.1109/ICOSC.2017.7958668","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958668","url":null,"abstract":"Simulation of a Quadcopter in Matlab need identify their dynamic parameters for that in this work will present experiment to identify some needed dynamic parameters for Quadcopter. The obtained parameters simulated in Matlab and give us good results. The simulated system checked in an experiment. Successful Implementation PID controller for attitude stabilization found. The implementation based on home-made autopilot based on Arduino and 10DOF Inertial Measurement Unit (IMU). The Ziegler-Nichols (ZN) PID tuning were done in experiments help determine stable PID gains in less time. The procedure of Ziegler-Nichols experimentally proofed the capability to determine PID gains for attitude stabilization of a QuadCopter.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"4 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":"129277281","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}