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2016 8th International Conference on Modelling, Identification and Control (ICMIC)最新文献

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Impact of PSS and SVC on the power system transient stability PSS和SVC对电力系统暂态稳定的影响
2016 8th International Conference on Modelling, Identification and Control (ICMIC) Pub Date : 2016-11-01 DOI: 10.1109/ICMIC.2016.7804127
Omar Mohammed Benaissa, S. Hadjeri, S. Zidi
{"title":"Impact of PSS and SVC on the power system transient stability","authors":"Omar Mohammed Benaissa, S. Hadjeri, S. Zidi","doi":"10.1109/ICMIC.2016.7804127","DOIUrl":"https://doi.org/10.1109/ICMIC.2016.7804127","url":null,"abstract":"The Power System Stabilizer (PSS) is a control device which ensures maximum power transfer and thus the stability of the power system enhancement. The PSS has been widely used to damp electromechanical oscillations occur in power systems and which are due to disturbance. If no adequate damping is available, the oscillations will increase leading to instability. The Static Var Compensator (SVC) is also used to improve stability in the system because of its role in reducing the reactive power in the electrical transmission lines. This paper presents an application of (SVC) in electrical transmission lines and PSS in two areas, two generator test power system. Using Matlab software to design and implements control system and study the effect of damping oscillations in stability power system after proposed faults in transmission lines of research model that used (PSS-generic and multiband) types and automatic voltage regulator (AVR).","PeriodicalId":424565,"journal":{"name":"2016 8th International Conference on Modelling, Identification and Control (ICMIC)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126373518","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: 15
Chaos synchronization of two different PMSM using a fractional order sliding mode controller 采用分数阶滑模控制器实现两种不同永磁同步电动机的混沌同步
2016 8th International Conference on Modelling, Identification and Control (ICMIC) Pub Date : 2016-11-01 DOI: 10.1109/ICMIC.2016.7804259
A. Boubellouta, A. Boulkroune
{"title":"Chaos synchronization of two different PMSM using a fractional order sliding mode controller","authors":"A. Boubellouta, A. Boulkroune","doi":"10.1109/ICMIC.2016.7804259","DOIUrl":"https://doi.org/10.1109/ICMIC.2016.7804259","url":null,"abstract":"This paper investigates the fractional-order sliding mode control design to synchronize two different chaotic permanent magnet synchronous motors (PMSM). In fact, by designing a fractional-order sliding mode surface, it is proved that the corresponding synchronization error is Mittag-Leffler (or asymptotic) stable. The simulation results demonstrate that the proposed controller is robust against the modeling uncertainties, parametric variations and unknown external disturbances and can considerably reduce the chattering effect.","PeriodicalId":424565,"journal":{"name":"2016 8th International Conference on Modelling, Identification and Control (ICMIC)","volume":"36 45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125702465","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
Rolling bearing fault diagnosis based empirical wavelet transform using vibration signal 基于经验小波变换的振动信号滚动轴承故障诊断
2016 8th International Conference on Modelling, Identification and Control (ICMIC) Pub Date : 2016-11-01 DOI: 10.1109/ICMIC.2016.7804169
B. Merainani, C. Rahmoune, D. Benazzouz, B. Ould-Bouamama
{"title":"Rolling bearing fault diagnosis based empirical wavelet transform using vibration signal","authors":"B. Merainani, C. Rahmoune, D. Benazzouz, B. Ould-Bouamama","doi":"10.1109/ICMIC.2016.7804169","DOIUrl":"https://doi.org/10.1109/ICMIC.2016.7804169","url":null,"abstract":"Owing to the relevance and severity of damages caused by rolling bearing faults, the development and application of a robust fault detection methods that offer a high reliable diagnosis in terms of processing and performance are still demanding tasks. In this paper, an application of the empirical wavelet transform (EWT) method is proposed for the vibration signal analysis and fault diagnosis of rolling bearing. This method first detects the Fourier supports of the analyzed signal, build the corresponding wavelet accordingly to those supports, and then filter the signal with the obtained filter bank. The effectiveness of the method is validated using practical vibration signals. The results show that the EWT provides a good performance in the detection of outer and inner race faults.","PeriodicalId":424565,"journal":{"name":"2016 8th International Conference on Modelling, Identification and Control (ICMIC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128187691","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: 12
Robust adaptive control of robotic manipulators using neural networks: Application to a two link planar robot 基于神经网络的机械臂鲁棒自适应控制:在两连杆平面机器人上的应用
2016 8th International Conference on Modelling, Identification and Control (ICMIC) Pub Date : 2016-11-01 DOI: 10.1109/ICMIC.2016.7804231
B. Rahmani, M. Belkheiri
{"title":"Robust adaptive control of robotic manipulators using neural networks: Application to a two link planar robot","authors":"B. Rahmani, M. Belkheiri","doi":"10.1109/ICMIC.2016.7804231","DOIUrl":"https://doi.org/10.1109/ICMIC.2016.7804231","url":null,"abstract":"A PD neural network (NN)-based adaptive controller design is presented in this paper for trajectory tracking of robotic manipulators subject to external disturbances and noise measurement. The neural networks are employed to approximate the nonlinearities in dynamic model of the robot to improve the performance of the classical PD controller based on the filtered error approach. The augmented Lyapunov function is used to guarantee the boundedness of the tracking error and derive the adaptation law for the neural network weights. This paper also presents the effect of robust modifications such as σ-modification and e-modification on the performance of adaptation laws in the approximation process and the performance of the controller. The effectiveness of the controller is demonstrated through computer simulation on the two-link planer robot.","PeriodicalId":424565,"journal":{"name":"2016 8th International Conference on Modelling, Identification and Control (ICMIC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132004134","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: 8
Hybridizing PEGASIS with LEACH-1R protocols in wireless sensor networks PEGASIS与LEACH-1R协议在无线传感器网络中的混合应用
2016 8th International Conference on Modelling, Identification and Control (ICMIC) Pub Date : 2016-11-01 DOI: 10.1109/ICMIC.2016.7804265
Imane Boulhares, M. Omari
{"title":"Hybridizing PEGASIS with LEACH-1R protocols in wireless sensor networks","authors":"Imane Boulhares, M. Omari","doi":"10.1109/ICMIC.2016.7804265","DOIUrl":"https://doi.org/10.1109/ICMIC.2016.7804265","url":null,"abstract":"Wireless Sensor Networks (WSNs) consist of small nodes with sensing, computation, and wireless communications capabilities. Routing is one of the new key technology which has become a hot research nowadays since the applications of WSNs are growing everywhere. Hierarchical routing in wireless sensor networks (WSNs) is a very important topic that has been attracting the research community in the last decade. In our work, we proposed a set of hierarchical hybrid protocols between clustering-based LEACH-1R protocol and chain-based PEGASIS protocol, where we aim to enhance the lifetime of the network.","PeriodicalId":424565,"journal":{"name":"2016 8th International Conference on Modelling, Identification and Control (ICMIC)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131225586","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: 8
Artificial neural network modelling of a gas sensor for liquefied petroleum gas detection 液化石油气检测气体传感器的人工神经网络建模
2016 8th International Conference on Modelling, Identification and Control (ICMIC) Pub Date : 2016-11-01 DOI: 10.1109/ICMIC.2016.7804292
K. Lamamra, D. Rechem
{"title":"Artificial neural network modelling of a gas sensor for liquefied petroleum gas detection","authors":"K. Lamamra, D. Rechem","doi":"10.1109/ICMIC.2016.7804292","DOIUrl":"https://doi.org/10.1109/ICMIC.2016.7804292","url":null,"abstract":"Currently, low power Metal Oxide gas Sensors (MOXs) are widely employed in gas detection because of its benefits, such as high sensitivity and low cost. However, MOX presents several problems, as well as lack of selectivity and environment effect. In this paper, it is presented an Artificial Neural Network (ANN) that models an MOX sensor (TGS 2610) used in a operating environment. The structure and the learning of the neuronal model are optimized by the Genetic Algorithms (GA). TGS 2610 is a type of gas sensor based on thin film semiconductor that associate very high sensitivity to Liquefied Petroleum gas (LP gas) with low energy consumption and long duration. This model includes dependence in LP gas like ethanol, hydrogen, methane and iso-butane/propane. Sensor modelling is used to avoid accidents that may be generated in practice, studying and analyzing problems in the simulation to avoid them in practice. It was proved in this paper that ANN technique was a powerful tool for modelling LP gas sensor. The comparative study of the results from ANN model with the experimental data shows a good agreement which validates the proposed models.","PeriodicalId":424565,"journal":{"name":"2016 8th International Conference on Modelling, Identification and Control (ICMIC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133054255","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: 4
A social planning and navigation for tour-guide robot in human environment 面向人类环境的导览机器人社会规划与导航
2016 8th International Conference on Modelling, Identification and Control (ICMIC) Pub Date : 2016-11-01 DOI: 10.1109/ICMIC.2016.7804186
A. Bellarbi, S. Kahlouche, N. Achour, N. Ouadah
{"title":"A social planning and navigation for tour-guide robot in human environment","authors":"A. Bellarbi, S. Kahlouche, N. Achour, N. Ouadah","doi":"10.1109/ICMIC.2016.7804186","DOIUrl":"https://doi.org/10.1109/ICMIC.2016.7804186","url":null,"abstract":"The biggest challenges in modern robotics is service robots, which are able to execute many tasks for humans in their presence. This perspective naturally causes the problem of social navigation of mobile robots as well as human-robot interaction. In this article, we present the implementation of a navigation method on a mobile robot in indoor environment; we detail the algorithm and the implementation of human-robot interaction social rules. The principle is to define a goal for the robot, which plans a path that drives it to its goal, choosing the shortest, the smoothest, and the safety way, avoiding socially the dynamic obstacles. For this purpose, the robot uses a laser sensor for building environments maps, localization, and detection of new obstacles, and an RGB-D camera (Kinect sensor) for social avoidance.","PeriodicalId":424565,"journal":{"name":"2016 8th International Conference on Modelling, Identification and Control (ICMIC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131369972","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
Design and dynamic modelling of a coaxial-rotor system 同轴转子系统的设计与动力学建模
2016 8th International Conference on Modelling, Identification and Control (ICMIC) Pub Date : 2016-11-01 DOI: 10.1109/ICMIC.2016.7804258
Na Zhao, Hongbin Deng, Chao Wang, Kewei Li, Shikui Jia
{"title":"Design and dynamic modelling of a coaxial-rotor system","authors":"Na Zhao, Hongbin Deng, Chao Wang, Kewei Li, Shikui Jia","doi":"10.1109/ICMIC.2016.7804258","DOIUrl":"https://doi.org/10.1109/ICMIC.2016.7804258","url":null,"abstract":"Coaxial-rotor configuration with the compact structure and vertical take-off ability make itself a good configuration to execute highly difficult task. In this paper, the structural design of coaxial-rotor system is introduced, and we discuss the control principle behind coaxial configuration. Then, the dynamic modeling is presented based on the combination of considering two rotors as dynamics model and the fuselage as the rigid body. Finally, the simulation is conducted to demonstrate the effectiveness of the modeling.","PeriodicalId":424565,"journal":{"name":"2016 8th International Conference on Modelling, Identification and Control (ICMIC)","volume":"252 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115853364","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
Efficient fault detection and diagnosis procedure for photovoltaic systems 光伏系统的高效故障检测与诊断方法
2016 8th International Conference on Modelling, Identification and Control (ICMIC) Pub Date : 2016-11-01 DOI: 10.1109/ICMIC.2016.7804233
E. Garoudja, Kamel Kara, A. Chouder, S. Silvestre, S. Kichou
{"title":"Efficient fault detection and diagnosis procedure for photovoltaic systems","authors":"E. Garoudja, Kamel Kara, A. Chouder, S. Silvestre, S. Kichou","doi":"10.1109/ICMIC.2016.7804233","DOIUrl":"https://doi.org/10.1109/ICMIC.2016.7804233","url":null,"abstract":"This paper proposes a simple method to detect and diagnose short circuits and open circuits faults in photovoltaic (PV) systems based on the evaluation of three coefficients. The proposed method consists fundamentally on two steps: an offline step based on a simulated model and an online step in which a comparison of the real measured coefficients against those obtained in the offline step is performed. The simulated model of the PV array has been validated using a real experimental data of a daily profile from a 3 kWp grid connected system installed at Algiers. The effectiveness of the proposed method has been evaluated based on PSIM™/Matlab™ Co-simulation approach of four operating cases: healthy operating case, one short circuit module in a string operating case, five short circuits modules in a string operating case, and finally a completely disconnected string operating case. Simulation results have demonstrated the ability of the proposed method to detect and diagnose short circuits and open circuits faulty operation under any meteorological conditions.","PeriodicalId":424565,"journal":{"name":"2016 8th International Conference on Modelling, Identification and Control (ICMIC)","volume":"182 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124590018","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: 23
Control of large-scale urban traffic networks using hierarchical hybrid automata 基于层次混合自动机的大规模城市交通网络控制
2016 8th International Conference on Modelling, Identification and Control (ICMIC) Pub Date : 2016-11-01 DOI: 10.1109/ICMIC.2016.7804212
F. Bouriachi, S. Kechida
{"title":"Control of large-scale urban traffic networks using hierarchical hybrid automata","authors":"F. Bouriachi, S. Kechida","doi":"10.1109/ICMIC.2016.7804212","DOIUrl":"https://doi.org/10.1109/ICMIC.2016.7804212","url":null,"abstract":"Urban traffic network is a typical example of a complex system called hybrid dynamic system (SDH). Although hybrid automata (HA) is a popular formalism in modeling, analysis and controlling SDH, the HA model of large scale urban traffic network gets substantially complicated for analysis and control due to large dimensionality of such systems. To overcome this problem, a new hierarchical control structure for large network based on HA is investigated in this paper. This technique divides the complex control problem of a large traffic system into different levels. The proposed control technique has been tested for an urban traffic network of four intersections under different traffic conditions. The experimental results are compared with those from Synchro (version 8). Simulation results affirm the improvement and the effectiveness of the proposed approach.","PeriodicalId":424565,"journal":{"name":"2016 8th International Conference on Modelling, Identification and Control (ICMIC)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117266224","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
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