In order to progress robust object recognition of robots, we present an algorithm for object exploration based on three-axis tactile data that is necessary and sufficient for evaluation of contact phenomena. Object surface contour is gathered by controlling finger position to keep a constant the normal force measured by optical three-axis tactile sensors as two fingertips slide along the object surface. In this algorithm, when the robot grasps the object, time derivative of shearing force is checked to judge initial contact state because it is more sensitive than normal force. After contact between fingertips and the object, normal force is adjusted to keep a constant with a tolerant value between upper and lower thresholds. In the verification test, shape exploration experiments are conducted using sinusoidal shape hard object of wood. Experimental results show that this tactile sensor is capable of gathering the surface shape information of an object having concave or convex portion because the finger position controlled by normal force obtained by this tactile sensor follows the object surface.
{"title":"Object Exploration Algorithm Based on Three-Axis Tactile Data","authors":"S. C. Abdullah, J. Wada, M. Ohka, H. Yussof","doi":"10.1109/AMS.2010.43","DOIUrl":"https://doi.org/10.1109/AMS.2010.43","url":null,"abstract":"In order to progress robust object recognition of robots, we present an algorithm for object exploration based on three-axis tactile data that is necessary and sufficient for evaluation of contact phenomena. Object surface contour is gathered by controlling finger position to keep a constant the normal force measured by optical three-axis tactile sensors as two fingertips slide along the object surface. In this algorithm, when the robot grasps the object, time derivative of shearing force is checked to judge initial contact state because it is more sensitive than normal force. After contact between fingertips and the object, normal force is adjusted to keep a constant with a tolerant value between upper and lower thresholds. In the verification test, shape exploration experiments are conducted using sinusoidal shape hard object of wood. Experimental results show that this tactile sensor is capable of gathering the surface shape information of an object having concave or convex portion because the finger position controlled by normal force obtained by this tactile sensor follows the object surface.","PeriodicalId":437153,"journal":{"name":"2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation","volume":"837 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116423348","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}
This paper presents a parallel-based methodology for placement of Flexible AC Transmission Systems (FACTS) devices in order to reduce the time it takes to reach a solution while maximizing the available transfer capability (ATC) of a given power system. The Parallel Bees Algorithms (PBA) simultaneously searches the location, size and types of FACTS devices to enhance ATC between the source and sink area. Four types of emerging FACTS devices are used namely, Thyristor Controlled Series Compensator (TCSC), Static Var Compensator (SVC), Unified Power Flow Controller (UPFC) and Thyristor Controlled Phase Shift Tranformer (TCPST). The IEEE118 Bus system is used to illustrate the applicability of the proposed algorithm to enhance ATC effectively. The results obtained are very encouraging and compared to a Bees Algorithm (BA), Genetic Algorithm (GA) and Parallel Genetic Algorithms (PGA). The results show that parallel computing technique can be used effectively to reduce time to reach a solution for large scale network and FACTS devices have proven their utility for ATC improvement.
{"title":"A Parallel Bees Algorithm for ATC Enhancement in Modern Electrical Network","authors":"R. Idris, A. Khairuddin, M. Mustafa","doi":"10.1109/AMS.2010.93","DOIUrl":"https://doi.org/10.1109/AMS.2010.93","url":null,"abstract":"This paper presents a parallel-based methodology for placement of Flexible AC Transmission Systems (FACTS) devices in order to reduce the time it takes to reach a solution while maximizing the available transfer capability (ATC) of a given power system. The Parallel Bees Algorithms (PBA) simultaneously searches the location, size and types of FACTS devices to enhance ATC between the source and sink area. Four types of emerging FACTS devices are used namely, Thyristor Controlled Series Compensator (TCSC), Static Var Compensator (SVC), Unified Power Flow Controller (UPFC) and Thyristor Controlled Phase Shift Tranformer (TCPST). The IEEE118 Bus system is used to illustrate the applicability of the proposed algorithm to enhance ATC effectively. The results obtained are very encouraging and compared to a Bees Algorithm (BA), Genetic Algorithm (GA) and Parallel Genetic Algorithms (PGA). The results show that parallel computing technique can be used effectively to reduce time to reach a solution for large scale network and FACTS devices have proven their utility for ATC improvement.","PeriodicalId":437153,"journal":{"name":"2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation","volume":"351 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116465736","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}
Mohd Ashraf Ahmad, M. S. Ramli, A. Nasir, R. Ismail, M. S. Saealal
This paper describes the use of angular position control approaches for a flexible robot manipulator with disturbance effect in the dynamic system. A nominal characteristic trajectory following (NCTF) controller is used to actively control the vibration of flexible structures. The controller design, which is comprised of a nominal characteristic trajectory(NCT) and PI compensator, is free from exact modelling and parameter identification. The NCT is determined from an open-loop response and the PI compensator is used to make the manipulator motion to follow the NCT. The effectiveness of the NCTF controller is evaluated and compared with Linear Quadratic Regulator (LQR) controller through simulations. A complete analysis of simulation results for each technique is presented in time domain and frequency domain respectively. Moreover, performances of the controller are examined in terms of vibration suppression and disturbances cancellation.
{"title":"Performance Assessment of Active Vibration Control using Nominal Characteristic Trajectory Following (NCTF) Controller","authors":"Mohd Ashraf Ahmad, M. S. Ramli, A. Nasir, R. Ismail, M. S. Saealal","doi":"10.1109/AMS.2010.128","DOIUrl":"https://doi.org/10.1109/AMS.2010.128","url":null,"abstract":"This paper describes the use of angular position control approaches for a flexible robot manipulator with disturbance effect in the dynamic system. A nominal characteristic trajectory following (NCTF) controller is used to actively control the vibration of flexible structures. The controller design, which is comprised of a nominal characteristic trajectory(NCT) and PI compensator, is free from exact modelling and parameter identification. The NCT is determined from an open-loop response and the PI compensator is used to make the manipulator motion to follow the NCT. The effectiveness of the NCTF controller is evaluated and compared with Linear Quadratic Regulator (LQR) controller through simulations. A complete analysis of simulation results for each technique is presented in time domain and frequency domain respectively. Moreover, performances of the controller are examined in terms of vibration suppression and disturbances cancellation.","PeriodicalId":437153,"journal":{"name":"2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125707101","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}
Moving beyond mouse and keyboard, the evolution of human-computer interaction (HCI) has been an interest research in recent years which witnessed the development from text-based like using a keyboard to graphic user interface (GUI) based on a mouse, from cumbersome data gloves and tracking devices to visual-based computer application. One of the interest fields is by using hand gestures to interact with computer. However, the complexity of a hand set a lot of challenges to be tracked. In real-time, the application requires high accurate detection and recognition. In additional the real and clutter environments have a big impact on recognition process because it included with irrelevant information from the application point of view. In this paper, a real time vision based hand gesture interaction prototype was proposed. Currently a prototype has built for controlling the desktop cursor and concerned the tasks involving in navigation the desktop cursor by using hand gesture input modality
{"title":"A Real Time Vision-Based Hand Gesture Interaction","authors":"Y. Pang, N. A. Ismail, P. S. Gilbert","doi":"10.1109/AMS.2010.55","DOIUrl":"https://doi.org/10.1109/AMS.2010.55","url":null,"abstract":"Moving beyond mouse and keyboard, the evolution of human-computer interaction (HCI) has been an interest research in recent years which witnessed the development from text-based like using a keyboard to graphic user interface (GUI) based on a mouse, from cumbersome data gloves and tracking devices to visual-based computer application. One of the interest fields is by using hand gestures to interact with computer. However, the complexity of a hand set a lot of challenges to be tracked. In real-time, the application requires high accurate detection and recognition. In additional the real and clutter environments have a big impact on recognition process because it included with irrelevant information from the application point of view. In this paper, a real time vision based hand gesture interaction prototype was proposed. Currently a prototype has built for controlling the desktop cursor and concerned the tasks involving in navigation the desktop cursor by using hand gesture input modality","PeriodicalId":437153,"journal":{"name":"2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128289258","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}
Segmentation of tuberculosis bacilli in Zeihl-Neelsen tissue slide images is a crucial step in computer-assisted tuberculosis bacilli detection. In this paper, an automatic colour image segmentation using moving k-mean clustering was proposed. First, initial filter is used to remove the tissues images which remain blue after counterstaining process. After that, moving k-mean clustering using green component of RGB colour model and R_y component of C-Y colour model are used to segment the TB bacilli from its undesirable background which also remains red even after decolourization process. Then a 5×5 median filter and region growing was used to eliminate small regions and noises. The proposed methods have been analysed for several TB slide images under various conditions. Experimental results indicate that the proposed techniques were successfully segment TB bacilli from its background.
{"title":"Colour Image Segmentation of Tuberculosis Bacilli in Ziehl-Neelsen-Stained Tissue Images Using Moving K-Mean Clustering Procedure","authors":"M. K. Osman, M. Y. Mashor, Z. Saad, H. Jaafar","doi":"10.1109/AMS.2010.51","DOIUrl":"https://doi.org/10.1109/AMS.2010.51","url":null,"abstract":"Segmentation of tuberculosis bacilli in Zeihl-Neelsen tissue slide images is a crucial step in computer-assisted tuberculosis bacilli detection. In this paper, an automatic colour image segmentation using moving k-mean clustering was proposed. First, initial filter is used to remove the tissues images which remain blue after counterstaining process. After that, moving k-mean clustering using green component of RGB colour model and R_y component of C-Y colour model are used to segment the TB bacilli from its undesirable background which also remains red even after decolourization process. Then a 5×5 median filter and region growing was used to eliminate small regions and noises. The proposed methods have been analysed for several TB slide images under various conditions. Experimental results indicate that the proposed techniques were successfully segment TB bacilli from its background.","PeriodicalId":437153,"journal":{"name":"2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127235476","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}
Hand grip strength is a known indicator of hand function and its measurement is a useful criterion in designing post hand-surgery rehabilitation program. It is established that normal grip strength of patients is correlated with age, weight, height, gender, occupation and hand dominant. In this work, predictive linear and nonlinear models based on 412 healthy average Malaysians are built using least squares and neuro-fuzzy estimators respectively. Two quality of fits are used to evaluate the accuracy of the predictive models. It was found that the neuro-fuzzy model that maps the six inputs nonlinearly is superior to the linear model in describing the input-output relationship of the data
{"title":"Linear and Nonlinear Modeling of Adult Malaysian Population's Hand Grip Strength","authors":"R. Ahmad, Ai Ping-Yap, Pan-Qian Lin, T. Kamarul","doi":"10.1109/AMS.2010.127","DOIUrl":"https://doi.org/10.1109/AMS.2010.127","url":null,"abstract":"Hand grip strength is a known indicator of hand function and its measurement is a useful criterion in designing post hand-surgery rehabilitation program. It is established that normal grip strength of patients is correlated with age, weight, height, gender, occupation and hand dominant. In this work, predictive linear and nonlinear models based on 412 healthy average Malaysians are built using least squares and neuro-fuzzy estimators respectively. Two quality of fits are used to evaluate the accuracy of the predictive models. It was found that the neuro-fuzzy model that maps the six inputs nonlinearly is superior to the linear model in describing the input-output relationship of the data","PeriodicalId":437153,"journal":{"name":"2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130406786","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}
Today, with the availability of large amount of video files, searching for videos with desired content is becoming a tedious task. The viewers require better control over the video data and for this reason the video browsing and indexing applications are being developed. These applications are required to segment the video into shots in the initial step. Shot boundary detection for shots separated by abrupt changes has been successful to a large extent, but detecting shot boundaries with gradual transitions in between, has been very challenging. In this paper, we propose a dual stage divide-and-merge approach to detect shots joined by dissolve type transitions. In the first stage we declare the video frames to be of either dissolve type or non-dissolve type. Later, we iteratively combine the sequences of non-dissolve frames that constitute the different shots. For experimental purpose, we have used the videos downloaded from the free video sharing website YouTube. The experimental results prove that the proposed technique is indeed effective.
{"title":"Dissolve Detection Based Shot Identification Using Singular Value Decomposition","authors":"Milind G. Padalkar, M. Zaveri","doi":"10.1109/AMS.2010.69","DOIUrl":"https://doi.org/10.1109/AMS.2010.69","url":null,"abstract":"Today, with the availability of large amount of video files, searching for videos with desired content is becoming a tedious task. The viewers require better control over the video data and for this reason the video browsing and indexing applications are being developed. These applications are required to segment the video into shots in the initial step. Shot boundary detection for shots separated by abrupt changes has been successful to a large extent, but detecting shot boundaries with gradual transitions in between, has been very challenging. In this paper, we propose a dual stage divide-and-merge approach to detect shots joined by dissolve type transitions. In the first stage we declare the video frames to be of either dissolve type or non-dissolve type. Later, we iteratively combine the sequences of non-dissolve frames that constitute the different shots. For experimental purpose, we have used the videos downloaded from the free video sharing website YouTube. The experimental results prove that the proposed technique is indeed effective.","PeriodicalId":437153,"journal":{"name":"2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation","volume":"2011 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130486666","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}
F. N. Osman, H. Hashim, S. Al-Junid, M. A. Haron, N. E. Abdullah, M. Muhammad
This paper presents a statistical study for rubber seed clones classification. There are five types of clones from the same series of rubber seed being used as samples in this work which are the PB360, RRIM2009, RRIM2011, RRIM2016 and RRIM2025. The main objective is to identify significant features based on reflectance indices of both lateral and dorsal of the rubber seed surfaces from the application of ZEISS spectrometer instrument. The instrument measures the percentage of reflectance with respect to intensity of safe radiation light being reflected from the seed surface. Empirical analysis is done using SPSS software in order to identify discrimination between the clones. From the observed error plots and one-way ANOVA measurements, it is shown that reflectance indices of lateral surface can be used to recognize significantly the RRIM2009 from the other rubber seed clones.
{"title":"A Statistical Approach for Rubber Seed Clones Classification Using Reflectance Index","authors":"F. N. Osman, H. Hashim, S. Al-Junid, M. A. Haron, N. E. Abdullah, M. Muhammad","doi":"10.1109/AMS.2010.65","DOIUrl":"https://doi.org/10.1109/AMS.2010.65","url":null,"abstract":"This paper presents a statistical study for rubber seed clones classification. There are five types of clones from the same series of rubber seed being used as samples in this work which are the PB360, RRIM2009, RRIM2011, RRIM2016 and RRIM2025. The main objective is to identify significant features based on reflectance indices of both lateral and dorsal of the rubber seed surfaces from the application of ZEISS spectrometer instrument. The instrument measures the percentage of reflectance with respect to intensity of safe radiation light being reflected from the seed surface. Empirical analysis is done using SPSS software in order to identify discrimination between the clones. From the observed error plots and one-way ANOVA measurements, it is shown that reflectance indices of lateral surface can be used to recognize significantly the RRIM2009 from the other rubber seed clones.","PeriodicalId":437153,"journal":{"name":"2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123271881","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}
The increase in proliferation of mobile devices and wireless technologies in recent years has opened up new challenges in mobile ad hoc networks (MANET). This growth has also led to an increase in demand of applications such as streaming video, multi-player interactive games and financial services such as real-time stock quotes. Such applications impose a strict guarantee on quality of service (QoS), namely on end-to-end delay, bandwidth consumption and cost. But finding a path that satisfies multiple constraints is inherently hard. Further challenges occur with routing in a mobile environment where nodes are mobile, the data delivery path constantly changes and routing is constrained by battery levels. Multicast routing can improve network usage by sharing resources when sending messages to multiple destinations especially when multiple mobile nodes are located within transmission range of a node. We propose a multicast routing technique based on multi-objective genetic algorithm (MOGA) that optimizes multiple QoS parameters in MANET to find an optimal multicast tree. Simulation studies show that the GA is robust and scales well for a relatively large number of nodes.
{"title":"QoS Parameter Optimization Using Multi-Objective Genetic Algorithm in MANETs","authors":"Noor M. Asraf, R. N. Ainon, Phang Keat Keong","doi":"10.1109/AMS.2010.40","DOIUrl":"https://doi.org/10.1109/AMS.2010.40","url":null,"abstract":"The increase in proliferation of mobile devices and wireless technologies in recent years has opened up new challenges in mobile ad hoc networks (MANET). This growth has also led to an increase in demand of applications such as streaming video, multi-player interactive games and financial services such as real-time stock quotes. Such applications impose a strict guarantee on quality of service (QoS), namely on end-to-end delay, bandwidth consumption and cost. But finding a path that satisfies multiple constraints is inherently hard. Further challenges occur with routing in a mobile environment where nodes are mobile, the data delivery path constantly changes and routing is constrained by battery levels. Multicast routing can improve network usage by sharing resources when sending messages to multiple destinations especially when multiple mobile nodes are located within transmission range of a node. We propose a multicast routing technique based on multi-objective genetic algorithm (MOGA) that optimizes multiple QoS parameters in MANET to find an optimal multicast tree. Simulation studies show that the GA is robust and scales well for a relatively large number of nodes.","PeriodicalId":437153,"journal":{"name":"2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121714485","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}
The modeling and coordinated control strategy based on self tuned variable structure sliding mode dynamic controller for a wind–diesel-fuel cell renewable generation system with battery backup are discussed in this paper. The proposed hybrid scheme tracks the maximum power efficiency and optimal energy capture from the wind, diesel and the fuel cell. The diesel generator set unit issued to balance the system demand power according to the total power demand in order to minimize the diesel fuel consumption. The paper presents a novel application of Multi Objective Particle Swarm Optimization MOPSO technique to control the 6-pulse rectifier converter, dynamic filter/capacitor compensation DFC and Green Power Filter GPF schemes using real time dynamic self regulating error tracking to maximize the energy capture from the wind turbine. A tri-loop error driven dynamic controller is used to adjust the PWM switching of the DFC- Dynamic AC side filter compensator and green power filter. Full power factor correction and power quality enhancement is validated under different operating conditions, including sudden load disturbances and wind velocity excursions. Multi Objective Optimization MOPSO technique is used to find the optimal control gain settings that dynamically minimize the global dynamic error.
{"title":"Optimal Self Tuned Variable Structure Sliding Mode for Coordinated Wind-FC-Diesel Utilization Scheme","authors":"A. Sharaf, A. El-Gammal","doi":"10.1109/AMS.2010.90","DOIUrl":"https://doi.org/10.1109/AMS.2010.90","url":null,"abstract":"The modeling and coordinated control strategy based on self tuned variable structure sliding mode dynamic controller for a wind–diesel-fuel cell renewable generation system with battery backup are discussed in this paper. The proposed hybrid scheme tracks the maximum power efficiency and optimal energy capture from the wind, diesel and the fuel cell. The diesel generator set unit issued to balance the system demand power according to the total power demand in order to minimize the diesel fuel consumption. The paper presents a novel application of Multi Objective Particle Swarm Optimization MOPSO technique to control the 6-pulse rectifier converter, dynamic filter/capacitor compensation DFC and Green Power Filter GPF schemes using real time dynamic self regulating error tracking to maximize the energy capture from the wind turbine. A tri-loop error driven dynamic controller is used to adjust the PWM switching of the DFC- Dynamic AC side filter compensator and green power filter. Full power factor correction and power quality enhancement is validated under different operating conditions, including sudden load disturbances and wind velocity excursions. Multi Objective Optimization MOPSO technique is used to find the optimal control gain settings that dynamically minimize the global dynamic error.","PeriodicalId":437153,"journal":{"name":"2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125692178","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}
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