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2016 5th International Conference on Systems and Control (ICSC)最新文献

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Stability and stabilizability analysis of fractional-order time-varying delay systems via diffusive representation 分数阶时变时滞系统的稳定性及稳定性分析
2016 5th International Conference on Systems and Control (ICSC) Pub Date : 2016-05-25 DOI: 10.1109/ICOSC.2016.7507077
Y. Boukal, M. Zasadzinski, M. Darouach, N. Radhy
{"title":"Stability and stabilizability analysis of fractional-order time-varying delay systems via diffusive representation","authors":"Y. Boukal, M. Zasadzinski, M. Darouach, N. Radhy","doi":"10.1109/ICOSC.2016.7507077","DOIUrl":"https://doi.org/10.1109/ICOSC.2016.7507077","url":null,"abstract":"In this work, the stability and stabilization of fractional-order time-varying delay systems modeled in state space are considered. First, based on the indirect Lyapunov and Lyapunov-Krasovskii approaches, we provide a sufficient condition for the asymptotic stability for the fractional-order time-varying delay systems. Then, we give a sufficient condition guaranteeing the existence and the synthesis of pseudo-state feedback stabilizing controller in a Linear Matrix Inequality (LMI) formulation. Finally, a numerical example is given to illustrate the main results.","PeriodicalId":149249,"journal":{"name":"2016 5th International Conference on Systems and Control (ICSC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130996512","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}
引用次数: 9
Sensorless second-order sliding mode control of Induction Motor 感应电机的无传感器二阶滑模控制
2016 5th International Conference on Systems and Control (ICSC) Pub Date : 2016-05-25 DOI: 10.1109/ICOSC.2016.7507055
T. Roubache, S. Chaouch, M. Nait-Said
{"title":"Sensorless second-order sliding mode control of Induction Motor","authors":"T. Roubache, S. Chaouch, M. Nait-Said","doi":"10.1109/ICOSC.2016.7507055","DOIUrl":"https://doi.org/10.1109/ICOSC.2016.7507055","url":null,"abstract":"This paper presents the use of a higher order sliding mode scheme for sensorless control of induction motors (IM). The sliding mode approach is used both for control and for generating the rotor speed and the rotor flux estimates necessary for the controller, based only on the measurements of stator voltages and currents. The second order sliding mode control (SOSMC) is based on a super-twisting algorithm. Then, the proposed control scheme and the observer are tested on an experimental setup confirming their convergence properties. The used observer converges in a finite time and permits to give a good estimate of flux and speed even in presence of rotor and stator resistance variations.","PeriodicalId":149249,"journal":{"name":"2016 5th International Conference on Systems and Control (ICSC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134468688","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}
引用次数: 3
Hybrid Bond Graph for robust diagnosis to measurement uncertainties 混合键图对测量不确定性的鲁棒诊断
2016 5th International Conference on Systems and Control (ICSC) Pub Date : 2016-05-25 DOI: 10.1109/ICOSC.2016.7507079
M. Rahal, B. O. Bouamama, A. Meghebbar
{"title":"Hybrid Bond Graph for robust diagnosis to measurement uncertainties","authors":"M. Rahal, B. O. Bouamama, A. Meghebbar","doi":"10.1109/ICOSC.2016.7507079","DOIUrl":"https://doi.org/10.1109/ICOSC.2016.7507079","url":null,"abstract":"This paper deals with robust Fault Detection and Isolation (FDI) to measurement uncertainties using Hybrid Bond Graph (HBG) approach to improve the robustness of detection in presence of measurement uncertainties. The scientific interest of this work is use of one tool (Bond Graph) not only for modelling of hybrid system and measurement uncertainties but also for generation of robust fault indicators and thresholds. For this task all the measurement uncertainties are modelled on the Hybrid Bond Graph (HBG) model in derivative preferred causality. Based on the structural and causal proprieties of the bond graph tool, the generated Analytical Redundancy Relations (ARRs) are robust with respect to measurement uncertainties presented by thresholds. Furthermore, those fault indicators called Generalized Analytical Redundancy Relations (GARRs) are valid at all modes and derived systematically from an HBG model with a specific causality assignment. This causality assignment is guided by the preferred causality of controlled junctions. An HBG with such causality assignment is named Diagnostic Hybrid Bond Graph (DHBG). A systematic causality assignment procedure, named Sequential Causality Assignment Procedure for Hybrid Systems Diagnosis (SCAPHD) is developed to facilitate the derivation of GARRs. The SCAPHD extends the classical SCAP by introducing the concept of preferred causality of controlled junctions. An application to a hydraulic is used to illustrate this method.","PeriodicalId":149249,"journal":{"name":"2016 5th International Conference on Systems and Control (ICSC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124558286","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}
引用次数: 6
MPPT algorithm for wind energy generation system using T-S fuzzy modeling MPPT算法用于风力发电系统的T-S模糊建模
2016 5th International Conference on Systems and Control (ICSC) Pub Date : 2016-05-25 DOI: 10.1109/ICOSC.2016.7507046
Naziha Harrabi, M. Souissi, A. Aitouche, M. Chaabane
{"title":"MPPT algorithm for wind energy generation system using T-S fuzzy modeling","authors":"Naziha Harrabi, M. Souissi, A. Aitouche, M. Chaabane","doi":"10.1109/ICOSC.2016.7507046","DOIUrl":"https://doi.org/10.1109/ICOSC.2016.7507046","url":null,"abstract":"A wind generation system consisting of a fixed pitch angle wind turbine, a Permanent Magnet Synchronous Generator (PMSG), power electronic converters and a load, is treated in this paper. This study deals with the problem of Maximum Power Point Tracking (MPPT) of the generated power based on Takagi Sugeno fuzzy model. The stability analysis is achieved by means of Lyapunov theory and H-infinity performance. The gains of the designed controller are calculated by solving Linear Matrix Inequality (LMI). In order to check the efficiency of the proposed control strategy, simulation results are carried out using MATLAB/SIMULINK.","PeriodicalId":149249,"journal":{"name":"2016 5th International Conference on Systems and Control (ICSC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117219950","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}
引用次数: 5
Time-domain identification of rational spectra with missing data 缺失数据有理谱的时域识别
2016 5th International Conference on Systems and Control (ICSC) Pub Date : 2016-05-25 DOI: 10.1109/ICOSC.2016.7507068
H. Akçay
{"title":"Time-domain identification of rational spectra with missing data","authors":"H. Akçay","doi":"10.1109/ICOSC.2016.7507068","DOIUrl":"https://doi.org/10.1109/ICOSC.2016.7507068","url":null,"abstract":"In this paper, we study modelling of rational spectra from time-domain measurements when the measurement information is not complete. We propose a three-stage estimation scheme. In the first-stage, rational spectra are identified by a modified covariance-based subspace identification algorithm in the innovation form. Accuracy of this stage is further enhanced by integrating a regularized nuclear norm optimization step with the subspace algorithm, which makes the model order selection easier. When the covariance estimates are not reliable, a modification of the optimization criterion is suggested. The second-stage of the scheme extracts a spectral factor via the recently introduced the regularized and re-weighted nuclear norm heuristic. In the third-stage, the missing values are recovered by one-step/multi-step prediction filters or fixed-interval smoothing filters. The predictors or the smoothers are built on the second-stage models in the innovation form.","PeriodicalId":149249,"journal":{"name":"2016 5th International Conference on Systems and Control (ICSC)","volume":"2017 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129342462","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}
引用次数: 7
An H∞ T-S fuzzy observer-based controller design for wind turbine systems 基于H∞T-S模糊观测器的风力发电系统控制器设计
2016 5th International Conference on Systems and Control (ICSC) Pub Date : 2016-05-25 DOI: 10.1109/ICOSC.2016.7507043
Yassine Fadili, Zineb Lahlou, I. Boumhidi
{"title":"An H∞ T-S fuzzy observer-based controller design for wind turbine systems","authors":"Yassine Fadili, Zineb Lahlou, I. Boumhidi","doi":"10.1109/ICOSC.2016.7507043","DOIUrl":"https://doi.org/10.1109/ICOSC.2016.7507043","url":null,"abstract":"This paper treats the control of wind energy conversion systems (WECS) based on a Takagi-Sugeno (T-S) model combined with the H∞ performance. This control strategy proposes a new stabilization condition to the LMI formulation, which gives us the best conservative stabilization conditions published recently in the literature for the fuzzy observer and H∞ controller designs, where the H∞ performance of a feedback control system is designed to be robust by taking into account direct wind speed as a perturbation. The main objective of this controller is to maintain a satisfactory quality of power in region with high wind speed by reducing mechanical loads. Also, the performances of the wind turbines in terms of stability and rotational speed are discussed. The results of the simulations stated show the effectiveness and the merit of the approach proposed.","PeriodicalId":149249,"journal":{"name":"2016 5th International Conference on Systems and Control (ICSC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132202936","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}
引用次数: 3
Model reference stabilization approach for unstable first order linear systems with large time delay 大时滞不稳定一阶线性系统的模型参考镇定方法
2016 5th International Conference on Systems and Control (ICSC) Pub Date : 2016-05-25 DOI: 10.1109/ICOSC.2016.7507060
A. Maddi
{"title":"Model reference stabilization approach for unstable first order linear systems with large time delay","authors":"A. Maddi","doi":"10.1109/ICOSC.2016.7507060","DOIUrl":"https://doi.org/10.1109/ICOSC.2016.7507060","url":null,"abstract":"In this paper, an approach of stabilization and control based on model reference scheme is proposed and analyzed for a class of unstable first order linear systems with time delay. This approach of design controller improved the performances of conventional Smith predictor compensator considerably, by incorporating an additional component of control law to generate a suitable input plant that satisfies the model reference behavior. The controller parameters are designed under assumptions of asymptotic stability and model matching conditions. Specifically, a control law is designed to ensure tracking error convergence and to reduce the instability region. Therefore, it's important to note that the method does not use the exact knowledge of the plant parameters and can guarantee an asymptotic stability with unknown bounded parameters system. Finally, a numerical example is presented to show applicability and performances of the proposed approach.","PeriodicalId":149249,"journal":{"name":"2016 5th International Conference on Systems and Control (ICSC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125576283","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}
引用次数: 0
Optimal sizing of wind-photovoltaic hybrid system by the LPSP method 用LPSP方法优化风电光伏混合系统的规模
2016 5th International Conference on Systems and Control (ICSC) Pub Date : 2016-05-25 DOI: 10.1109/ICOSC.2016.7507081
N. Zidane, M. Hachemi, A. Aitouche
{"title":"Optimal sizing of wind-photovoltaic hybrid system by the LPSP method","authors":"N. Zidane, M. Hachemi, A. Aitouche","doi":"10.1109/ICOSC.2016.7507081","DOIUrl":"https://doi.org/10.1109/ICOSC.2016.7507081","url":null,"abstract":"This paper presents the method for optimal sizing simulated in MatLab to perform optimization the size of the hybrid stand-alone wind/PV system with storage. The methodology aims at finding the size of the system for a set of components, which completed the requirements of reliability desired system, with the lowest value of the average cost of energy.","PeriodicalId":149249,"journal":{"name":"2016 5th International Conference on Systems and Control (ICSC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126934023","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}
引用次数: 1
Differential evolution for optimal tuning of power system stabilizers to improve power systems small signal stability 电力系统稳定器的差分演化优化调谐，提高电力系统小信号稳定性
2016 5th International Conference on Systems and Control (ICSC) Pub Date : 2016-05-25 DOI: 10.1109/ICOSC.2016.7507056
Y. Chabane, A. A. Ladjici
{"title":"Differential evolution for optimal tuning of power system stabilizers to improve power systems small signal stability","authors":"Y. Chabane, A. A. Ladjici","doi":"10.1109/ICOSC.2016.7507056","DOIUrl":"https://doi.org/10.1109/ICOSC.2016.7507056","url":null,"abstract":"This paper introduces a differential evolution algorithm as an optimization technique for the tuning of the power system stabilizers (PSS) parameters. PSS have been widely used to damp low frequency electromechanical oscillations caused by small signal stability issues. The tuning of the PSS parameters is formulated as an objective with constraints including the damping ratio of power system oscillatory modes. The application of the proposed procedure to the New England New York test system has illustrates the performance of the differential evolution algorithm to enhance the small signal stability.","PeriodicalId":149249,"journal":{"name":"2016 5th International Conference on Systems and Control (ICSC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126381245","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}
引用次数: 6
Power system stabilizer parameters optimization using genetic algorithm 基于遗传算法的电力系统稳定器参数优化
2016 5th International Conference on Systems and Control (ICSC) Pub Date : 2016-05-25 DOI: 10.1109/ICOSC.2016.7507031
Mariam Jebali, O. Kahouli, H. H. Abdallah
{"title":"Power system stabilizer parameters optimization using genetic algorithm","authors":"Mariam Jebali, O. Kahouli, H. H. Abdallah","doi":"10.1109/ICOSC.2016.7507031","DOIUrl":"https://doi.org/10.1109/ICOSC.2016.7507031","url":null,"abstract":"With ever increasing load and insufficient growth of generation and transmission capacities, the operating constraints of modern integrated power system are increasing. It has led to ever increasing dynamic problems of low frequency oscillations in the system that needs to be detected and damped out quickly and efficiently. In electrical power networks small oscillations appear from time to time. These oscillations concern the quantities determining the equilibrium point of the system, and following which, system stability and system behaviors are influenced. The objective of our study is to check the static stability of the high voltage power to small perturbations of electrical network. In this context, after linearizing the system, power system stabilizer (PSS) has so far been extensively utilized to mitigate these problems. This paper presents a novel and efficient approach for the optimal tuning of power system stabilizer parameters (PSS) using a genetic algorithm (GA) with the eigenvalue-based objective function.the eigenvalue-based objective function.The proposed approach is implemented and examined in a system with a single machine connected to an infinite bus via a transmission line. The results of this technique have been verified by eigenvalue analysis and time-domain simulations. The obtained results were evaluated and compared with ones obtained by ordinary GAs. Eigenvalue analysis and nonlinear system simulations demonstrated the effectiveness of the proposed approach in damping the electromechanical oscillations and enhancing the system dynamic stability.","PeriodicalId":149249,"journal":{"name":"2016 5th International Conference on Systems and Control (ICSC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121818741","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}
引用次数: 5
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