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2013 International Conference on Electrical Engineering and Software Applications最新文献

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DTC-SVM control for three phase induction motors 三相异步电动机的DTC-SVM控制
2013 International Conference on Electrical Engineering and Software Applications Pub Date : 2013-03-21 DOI: 10.1109/iceesa.2013.6578421
H. Hiba, H. Ali, Hasnaoui Othmen
{"title":"DTC-SVM control for three phase induction motors","authors":"H. Hiba, H. Ali, Hasnaoui Othmen","doi":"10.1109/iceesa.2013.6578421","DOIUrl":"https://doi.org/10.1109/iceesa.2013.6578421","url":null,"abstract":"By principle, Direct Torque Control (DTC) is used to adjust stator flux and electromagnetic torque. Simple structure and very good dynamic behavior are main features of DTC. However classical DTC has some disadvantages, the most important of them is the high ripple torque. In this paper we propose some variety of DTC combined with FOC structures. Hysteresis controllers and switching table are replaced by PI controllers and space vector modulator. Three algorithms work in fixed switching frequency are developed, can overcome the aforementioned drawback. The proposed schemes are described clearly. Simulation results prove the effectiveness, reliability and correctness of the proposed methods.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"85 14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130833114","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: 10
Comparative study of the saturated sliding mode and anti-windup controllers 饱和滑模控制器与抗卷绕控制器的比较研究
2013 International Conference on Electrical Engineering and Software Applications Pub Date : 2013-03-21 DOI: 10.1109/ICEESA.2013.6578488
Chaker Zaafouri, A. Sellami, G. García
{"title":"Comparative study of the saturated sliding mode and anti-windup controllers","authors":"Chaker Zaafouri, A. Sellami, G. García","doi":"10.1109/ICEESA.2013.6578488","DOIUrl":"https://doi.org/10.1109/ICEESA.2013.6578488","url":null,"abstract":"The saturation problem is the one of the most common handicaps for applying linear control to real applications, especially the actuator saturation. This paper focus on a comparative study between the classical anti-windup regulator and robust saturated sliding mode control. In the first step, we present a design methodology of SMC of a class of linear saturated systems. We introduce the structure of the saturation, them we perform the design of the sliding surface as a problem of root clustering, which leads to the development of a smooth and non-linear control law that ensures to reach the sliding surface. The second step is devoted to present briefly the anti-windup controller technique. Finally, we use an example of a quarter of vehicle system to give simulation results.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126726828","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: 2
A feedforward neural network wheelchair driving joystick 一种前馈神经网络轮椅驾驶操纵杆
2013 International Conference on Electrical Engineering and Software Applications Pub Date : 2013-03-21 DOI: 10.1109/ICEESA.2013.6578462
Y. Rabhi, M. Mrabet, F. Fnaiech, P. Gorce
{"title":"A feedforward neural network wheelchair driving joystick","authors":"Y. Rabhi, M. Mrabet, F. Fnaiech, P. Gorce","doi":"10.1109/ICEESA.2013.6578462","DOIUrl":"https://doi.org/10.1109/ICEESA.2013.6578462","url":null,"abstract":"People with disabilities such as those affected by IMC disease or Parkinson's disease have difficulties in operating standard joystick due to their different levels of tremors or difficulties encountered when moving their arms. The objective of this work is to design a new neural joystick suitable for each patient allowing overcoming these difficulties or incomplete or erroneous actions, in order to reach maximum security. The design of the neural network joystick system is based on training a neural network to model the inverse of the standard joystick. The trained resulting neural network is then connected to output of the joystick. The overall system is then used to control all the DC motors and devices of the wheelchair. Simulations and experimental real data recorded on disabled persons are then used to highlight the effectiveness of the designed system.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116628157","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: 11
Nonlinear system identification using Extended Possibilitic C-Means algorithm (EPCM) and Particle Swarm Optimization (PSO) 基于扩展可能c均值算法和粒子群算法的非线性系统辨识
2013 International Conference on Electrical Engineering and Software Applications Pub Date : 2013-03-21 DOI: 10.1109/ICEESA.2013.6578422
Houcine Lassad, Bouzbida Mohamed, Troudi Ahmed, Chaari Abdelkader
{"title":"Nonlinear system identification using Extended Possibilitic C-Means algorithm (EPCM) and Particle Swarm Optimization (PSO)","authors":"Houcine Lassad, Bouzbida Mohamed, Troudi Ahmed, Chaari Abdelkader","doi":"10.1109/ICEESA.2013.6578422","DOIUrl":"https://doi.org/10.1109/ICEESA.2013.6578422","url":null,"abstract":"The Takagi-Sugeno fuzzy model is one of the best approaches for modeling and identifying of a nonlinear system. Several algorithms have been proposed in this framework; identify the premise parameters involved in the Takagi-Sugeno fuzzy model, as the fuzzy c-mean algorithm (FCM), the Gustafson Kessel algorithm (GK), PCM algorithm and EPCM algorithm. The implementation of these algorithms in the case of identification of nonlinear stochastic systems shows that this approach to several shortcomings, such as convergence to local optima and sensitivity to initialization (choice of number of clusters) and sensitivity at noise. In this paper, a combination of the EPCM algorithm and the PSO (particle swarm optimization) algorithm is used. However, the consequent parameters are therefore estimated by using the recursive weighted least squares (RWLS) method. The simulation results presented here illustrate the effectiveness of this algorithm.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115067481","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
Interest of the combination of classifiers for volumetric textures classification 分类器组合对体积纹理分类的兴趣
2013 International Conference on Electrical Engineering and Software Applications Pub Date : 2013-03-21 DOI: 10.1109/ICEESA.2013.6578378
E. Ben Othmen, M. A. Cherni, M. Sayadi
{"title":"Interest of the combination of classifiers for volumetric textures classification","authors":"E. Ben Othmen, M. A. Cherni, M. Sayadi","doi":"10.1109/ICEESA.2013.6578378","DOIUrl":"https://doi.org/10.1109/ICEESA.2013.6578378","url":null,"abstract":"Nowadays, classification is applied in various fields such as pattern and writing recognition, prints checking, faces identification, medical images analysis, 2D textures characterization and volumetric textures characterization. Indeed, the three-dimensional field is considered among one of the most important fields in image processing because of the great quantity of information that can be extracted. In this work, we try to improve the performances of classification for volumetric textures images by proposing a multiple classifier systems (MCS) based method combining three Euclidean classifiers: simple Euclidean classifier (ES), normal Euclidean classifier (EN) and balanced Euclidean classifier (EB). Thereafter, we compared the performance of the proposed method to the Euclidean methods (ES, EN and EB). The hybrid presented approach has proven to be more efficient in classification and mostly robust against Gaussian noise.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115341714","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
GPC multivariable control applied to temperature and humidity neonate incubators GPC多变量控制在新生儿恒温箱温湿度控制中的应用
2013 International Conference on Electrical Engineering and Software Applications Pub Date : 2013-03-21 DOI: 10.1109/ICEESA.2013.6578492
M. A. Zermani, E. Feki, A. Mami
{"title":"GPC multivariable control applied to temperature and humidity neonate incubators","authors":"M. A. Zermani, E. Feki, A. Mami","doi":"10.1109/ICEESA.2013.6578492","DOIUrl":"https://doi.org/10.1109/ICEESA.2013.6578492","url":null,"abstract":"This paper presents a multivariable predictive control algorithm to resolve the coupling effect in closed loop systems. The desired decoupling is achieved by including an appropriate weighting factor on the objective function of predictive control. This weighting factor is tuned in synchronization to the error observation to eliminate the strong interaction. The proposed algorithm is applied to the control of humidity and temperature of a neonatal incubator. Simulation results are verified and compared with the others algorithm in the literature.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122569519","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: 2
New clustering algorithm for identification of a nonlinear stochastic model 一种非线性随机模型识别的聚类新算法
2013 International Conference on Electrical Engineering and Software Applications Pub Date : 2013-03-21 DOI: 10.1109/ICEESA.2013.6578495
Troudi Ahmed, Houcine Lassad, Bouzbida Mohamed, Chaari Abdelkader
{"title":"New clustering algorithm for identification of a nonlinear stochastic model","authors":"Troudi Ahmed, Houcine Lassad, Bouzbida Mohamed, Chaari Abdelkader","doi":"10.1109/ICEESA.2013.6578495","DOIUrl":"https://doi.org/10.1109/ICEESA.2013.6578495","url":null,"abstract":"Many clustering algorithms have been proposed in literature to identify the premise and consequence parameters involved in the TS fuzzy model. In this paper this parameters are estimated at the same time and this from the minimization of four optimization criteria. The proposed algorithm constitutes an extension of the algorithm proposed by J.Q. Chen in 1998. However, in this paper we introduced some modification on the optimization criteria and especially the last two criteria, thus we replaced the Euclidean distance by another non-Euclidean distance when calculating the fuzzy partition matrix. The purpose of these modifications is to introduce more robustness with the algorithm especially for highly nonlinear systems and those operating in a stochastic environment. The efficiency of the algorithm is tested on an electro-hydraulic system.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129058763","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
Sliding mode control of nonlinear uncertain system based on Takagi-Sugeno fuzzy model 基于Takagi-Sugeno模糊模型的非线性不确定系统滑模控制
2013 International Conference on Electrical Engineering and Software Applications Pub Date : 2013-03-21 DOI: 10.1109/ICEESA.2013.6578395
L. Chaouech, O. Saadaoui, A. Chaari
{"title":"Sliding mode control of nonlinear uncertain system based on Takagi-Sugeno fuzzy model","authors":"L. Chaouech, O. Saadaoui, A. Chaari","doi":"10.1109/ICEESA.2013.6578395","DOIUrl":"https://doi.org/10.1109/ICEESA.2013.6578395","url":null,"abstract":"This paper proposes an approach to design sliding mode control for a class of uncertain nonlinear systems, where the uncertainty is a norm bounded type. Firstly, we choose the sliding surface which gives a good behaviour during sliding mode. It is formulated as an assignment of the poles of uncertain nonlinear system in a convex optimization area. Secondly, we design a nonlinear control law leading the state trajectory on the sliding surface in a finite time. A numerical application of inverted pendulum is given to validate the theoretical results of our approach.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"284 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124541613","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
Current sensors faults detection, isolation and control reconfiguration for PMSM drives 电流传感器故障检测，隔离和控制重新配置的永磁同步电机驱动器
2013 International Conference on Electrical Engineering and Software Applications Pub Date : 2013-03-21 DOI: 10.1109/ICEESA.2013.6578414
F. Grouz, L. Sbita, M. Boussak
{"title":"Current sensors faults detection, isolation and control reconfiguration for PMSM drives","authors":"F. Grouz, L. Sbita, M. Boussak","doi":"10.1109/ICEESA.2013.6578414","DOIUrl":"https://doi.org/10.1109/ICEESA.2013.6578414","url":null,"abstract":"This paper deals with a new method current sensors faults detection isolation (FDI) and reconfiguration of the control loops of a permanent magnet synchronous motor (PMSM) drives. The stator currents are measured as well as observed. During fault free operation, the measured signals are used for the PMSM control. In the case of current sensors faults, the faulty measurements are detected and isolated using the new FDI algorithm. This algorithm uses an augmented PMSM model and a bank of adaptive observers to generate residuals. The resulting residuals are used for sensor fault detection. A logic algorithm is built in such a way to isolate and identify the faulty sensor for a stator phase current fault after detecting the fault occurrence. After sensor fault detection and isolation, the control is reconfigured using the healthy observer's outputs. The validity of the proposed method is verified by simulation tests.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121577813","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: 14
Voltage control of a single distributed generation unite in autonomous mode operation under unbalance and non-linear load conditions 不平衡和非线性负荷条件下单机分布式发电机组自主运行的电压控制
2013 International Conference on Electrical Engineering and Software Applications Pub Date : 2013-03-21 DOI: 10.1109/ICEESA.2013.6578400
Y. Daili, L. Rahmani, J. Gaubert
{"title":"Voltage control of a single distributed generation unite in autonomous mode operation under unbalance and non-linear load conditions","authors":"Y. Daili, L. Rahmani, J. Gaubert","doi":"10.1109/ICEESA.2013.6578400","DOIUrl":"https://doi.org/10.1109/ICEESA.2013.6578400","url":null,"abstract":"This paper propose a voltage control of a single distributed generation (DG) unit powered local load. The DG system utilizes three phase four wire voltage source inverter VSI with split DC link as the medium interface and LC filter to attenuate the switching frequency harmonics, A dual loop scheme is employed. Dead beat current controller in inner loop, which achieve fast dynamic response. In the outer loop, Multi-generalized resonant filter with feedback state is employed to track reference voltage and eliminate the low order harmonics, and to make the dynamic of the system greatly adjustable via pole-placement strategy. The proposed controller provides a set balanced three phase voltage with low THD equal to 1.80% in worse case (non linear load) for a locale load, despite unbalanced and distorted current load, guarantee a robust stability, fast dynamic response to disturbance, zero study state error. Effectiveness of the proposed control strategy is evaluated based on time domain simulation studies in Matlab/Simulink™ environment.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"501 7467 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133621311","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
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