Pub Date : 2000-01-19DOI: 10.1109/ICIT.2000.854086
B. Dasarathy
The origins of information fusion, a rapidly growing field within the domain of information technologies, can be traced back to developments in a vast array of disciplines. However, it has had the most impetus for growth from the defense arena. Industrial applications, especially in the area of robotics, have begun to surface prominently. The paper first introduces the field of information fusion addressing the questions of what, why, when, and how. This is followed by a brief listing of the various taxonomies that have found currency in this field. In keeping with the theme of the conference, a review of some typical industrial applications is presented next to illustrate the scope and potential benefits of information fusion in this domain.
{"title":"Industrial applications of multi-sensor multi-source information fusion","authors":"B. Dasarathy","doi":"10.1109/ICIT.2000.854086","DOIUrl":"https://doi.org/10.1109/ICIT.2000.854086","url":null,"abstract":"The origins of information fusion, a rapidly growing field within the domain of information technologies, can be traced back to developments in a vast array of disciplines. However, it has had the most impetus for growth from the defense arena. Industrial applications, especially in the area of robotics, have begun to surface prominently. The paper first introduces the field of information fusion addressing the questions of what, why, when, and how. This is followed by a brief listing of the various taxonomies that have found currency in this field. In keeping with the theme of the conference, a review of some typical industrial applications is presented next to illustrate the scope and potential benefits of information fusion in this domain.","PeriodicalId":405648,"journal":{"name":"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115175091","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}
Pub Date : 2000-01-19DOI: 10.1109/ICIT.2000.854182
A. Tewari, A. Tripathi, S.P. Das
The paper presents simulation and experimental results obtained from an indirect fuzzy vector controlled induction motor drive under varying operating conditions like step change in speed command and step change in torque command. The superiority of fuzzy controller over conventional controllers in handling nonlinear system such as an induction motor has been effectively demonstrated by comparing the response of the drive system using fuzzy controller with that using a PI controller. The drive system is implemented with a Pentium PC, which uses a high performance data acquisition card for current/speed sampling and to generate the appropriate signals for the control of inverter switches. The present work exploits the advantages offered by a PC based implementation such as user friendliness, ease of programming and minimal amount of hardware circuitry required.
{"title":"A fuzzy logic controller based indirect field-oriented induction motor drive system","authors":"A. Tewari, A. Tripathi, S.P. Das","doi":"10.1109/ICIT.2000.854182","DOIUrl":"https://doi.org/10.1109/ICIT.2000.854182","url":null,"abstract":"The paper presents simulation and experimental results obtained from an indirect fuzzy vector controlled induction motor drive under varying operating conditions like step change in speed command and step change in torque command. The superiority of fuzzy controller over conventional controllers in handling nonlinear system such as an induction motor has been effectively demonstrated by comparing the response of the drive system using fuzzy controller with that using a PI controller. The drive system is implemented with a Pentium PC, which uses a high performance data acquisition card for current/speed sampling and to generate the appropriate signals for the control of inverter switches. The present work exploits the advantages offered by a PC based implementation such as user friendliness, ease of programming and minimal amount of hardware circuitry required.","PeriodicalId":405648,"journal":{"name":"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134486990","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}
Pub Date : 2000-01-19DOI: 10.1109/ICIT.2000.854212
K. Sundareswaran, M. Vasu
The genetic algorithm (GA) is emerging as a powerful optimization tool and has recently been applied in a few fields. This paper illustrates the use of GA for the design of controller parameters of a separately excited DC motor drive. The design criterion is modified as an optimization problem and the general rules of GA are applied. In the proposed GA, a novel selection procedure is adopted by combining roulette wheel selection with elitism, resulting in faster convergence to the optimal solution. Simulation of the DC drive is carried with optimized values of controller parameters and the dynamic response of the drive confirms the validity of the new disposition.
{"title":"Genetic tuning of PI controller for speed control of DC motor drive","authors":"K. Sundareswaran, M. Vasu","doi":"10.1109/ICIT.2000.854212","DOIUrl":"https://doi.org/10.1109/ICIT.2000.854212","url":null,"abstract":"The genetic algorithm (GA) is emerging as a powerful optimization tool and has recently been applied in a few fields. This paper illustrates the use of GA for the design of controller parameters of a separately excited DC motor drive. The design criterion is modified as an optimization problem and the general rules of GA are applied. In the proposed GA, a novel selection procedure is adopted by combining roulette wheel selection with elitism, resulting in faster convergence to the optimal solution. Simulation of the DC drive is carried with optimized values of controller parameters and the dynamic response of the drive confirms the validity of the new disposition.","PeriodicalId":405648,"journal":{"name":"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122091828","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}
Pub Date : 2000-01-19DOI: 10.1109/ICIT.2000.854091
A. Tripathi, S.P. Das
In this paper the direct torque and flux control method for control of speed and torque of a three phase induction motor has been proposed using a PC-based real time control algorithm. This type of an industrial drive can have two distinct advantages: (i) enhanced flexibility i.e. only a high speed data-acquisition card and the real time control software are needed to retrofit another drive having similar hardware components; and (ii) only the inverter circuit needs to be fabricated, the switching status of which is provided by the control software.
{"title":"A PC-based hardware and software design for a direct torque and flux controlled induction motor drive system","authors":"A. Tripathi, S.P. Das","doi":"10.1109/ICIT.2000.854091","DOIUrl":"https://doi.org/10.1109/ICIT.2000.854091","url":null,"abstract":"In this paper the direct torque and flux control method for control of speed and torque of a three phase induction motor has been proposed using a PC-based real time control algorithm. This type of an industrial drive can have two distinct advantages: (i) enhanced flexibility i.e. only a high speed data-acquisition card and the real time control software are needed to retrofit another drive having similar hardware components; and (ii) only the inverter circuit needs to be fabricated, the switching status of which is provided by the control software.","PeriodicalId":405648,"journal":{"name":"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134308963","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}
Pub Date : 2000-01-19DOI: 10.1109/ICIT.2000.854157
L. Horváth, J. K. Tar, I. Rudas, H. Shamsudin
The main essence of the paper is an introduction of an application of Petri net model entity representations in concurrent engineering processes. Characteristics of the proposed modeling include feature based and multiple leveled model structure, generic model entities and integrated modeling approach. The authors have developed a manufacturing process modeling approach and methodology that is suitable for continuous modification of part manufacturing processes on the basis of messages about changes of part models and other conditions. Generic manufacturing models involve variants. Entities in the model are represented by Petri nets that can be repeatedly executed for changed conditions. The method assumes a reorderable form feature based part model. The paper is organized as follows. Firstly the related and actual issues of concurrent engineering and their relations process modeling are outlined. Following this, the proposed approach and the methodology of integration feature based part models with part manufacturing models are explained. Next application of the proposed integrated modeling in concurrent engineering processes is detailed. Finally, possible benefits of the proposed model in present day modeling are concluded.
{"title":"Generic modeling of manufacturing processes using Petri nets for concurrent engineering","authors":"L. Horváth, J. K. Tar, I. Rudas, H. Shamsudin","doi":"10.1109/ICIT.2000.854157","DOIUrl":"https://doi.org/10.1109/ICIT.2000.854157","url":null,"abstract":"The main essence of the paper is an introduction of an application of Petri net model entity representations in concurrent engineering processes. Characteristics of the proposed modeling include feature based and multiple leveled model structure, generic model entities and integrated modeling approach. The authors have developed a manufacturing process modeling approach and methodology that is suitable for continuous modification of part manufacturing processes on the basis of messages about changes of part models and other conditions. Generic manufacturing models involve variants. Entities in the model are represented by Petri nets that can be repeatedly executed for changed conditions. The method assumes a reorderable form feature based part model. The paper is organized as follows. Firstly the related and actual issues of concurrent engineering and their relations process modeling are outlined. Following this, the proposed approach and the methodology of integration feature based part models with part manufacturing models are explained. Next application of the proposed integrated modeling in concurrent engineering processes is detailed. Finally, possible benefits of the proposed model in present day modeling are concluded.","PeriodicalId":405648,"journal":{"name":"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131935072","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}
Pub Date : 2000-01-19DOI: 10.1109/ICIT.2000.854256
K. Tang, K. Man, R. Istepanian
Hierarchical genetic algorithm (HGA) is formulated to design the H/sub /spl infin// controller for the teleoperation system used in microsurgery. Such a HGA is capable of searching the structure of the H/sub /spl infin// and its coefficients simultaneously. A multiple objective ranking scheme is also incorporated so that both the force and position transparency are optimized against any strictly passive environment.
{"title":"Teleoperation controller design using hierarchical genetic algorithm","authors":"K. Tang, K. Man, R. Istepanian","doi":"10.1109/ICIT.2000.854256","DOIUrl":"https://doi.org/10.1109/ICIT.2000.854256","url":null,"abstract":"Hierarchical genetic algorithm (HGA) is formulated to design the H/sub /spl infin// controller for the teleoperation system used in microsurgery. Such a HGA is capable of searching the structure of the H/sub /spl infin// and its coefficients simultaneously. A multiple objective ranking scheme is also incorporated so that both the force and position transparency are optimized against any strictly passive environment.","PeriodicalId":405648,"journal":{"name":"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117037797","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}
Pub Date : 2000-01-19DOI: 10.1109/ICIT.2000.854210
R. Kumar, V.P. Krishnan, K.S. Santhanakrishnan
Designing an optimal network requires careful optimization of conflicting requirements. It is an NP hard problem. Traditional approaches to this problem have been based either on heuristics or on rigorous mathematical programming, queuing theory and network flow concepts. In this work, the authors describe the use of the multi-objective genetic optimization technique to obtain a Pareto front-a set of solutions which are optimal with respect to a set of constraints and noninferior to each other-for the network design problem. A prototype is developed and the simulator is currently being tested on different sets of inputs.
{"title":"Design of an optimal communication network using multiobjective genetic optimization","authors":"R. Kumar, V.P. Krishnan, K.S. Santhanakrishnan","doi":"10.1109/ICIT.2000.854210","DOIUrl":"https://doi.org/10.1109/ICIT.2000.854210","url":null,"abstract":"Designing an optimal network requires careful optimization of conflicting requirements. It is an NP hard problem. Traditional approaches to this problem have been based either on heuristics or on rigorous mathematical programming, queuing theory and network flow concepts. In this work, the authors describe the use of the multi-objective genetic optimization technique to obtain a Pareto front-a set of solutions which are optimal with respect to a set of constraints and noninferior to each other-for the network design problem. A prototype is developed and the simulator is currently being tested on different sets of inputs.","PeriodicalId":405648,"journal":{"name":"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114960934","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}
Pub Date : 2000-01-19DOI: 10.1109/ICIT.2000.854241
S. Krishna, K. Padiyar
Online transient stability assessment (TSA) of a power system is not yet feasible due to the intensive computation involved. Artificial neural networks (ANN) have been proposed as one of the approaches to this problem because of their ability to quickly map nonlinear relationships between the input data and the output. In this paper a review of the previously published papers on TSA using ANN is presented. The paper also reports the results of the application of ANN to the problem of TSA of a 10 machine 39 bus system.
{"title":"Transient stability assessment using artificial neural networks","authors":"S. Krishna, K. Padiyar","doi":"10.1109/ICIT.2000.854241","DOIUrl":"https://doi.org/10.1109/ICIT.2000.854241","url":null,"abstract":"Online transient stability assessment (TSA) of a power system is not yet feasible due to the intensive computation involved. Artificial neural networks (ANN) have been proposed as one of the approaches to this problem because of their ability to quickly map nonlinear relationships between the input data and the output. In this paper a review of the previously published papers on TSA using ANN is presented. The paper also reports the results of the application of ANN to the problem of TSA of a 10 machine 39 bus system.","PeriodicalId":405648,"journal":{"name":"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116541236","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}
Pub Date : 2000-01-19DOI: 10.1109/ICIT.2000.854235
V. Sharma, B. Singh, S. Murthy
This paper presents a simple analog control scheme for speed control of switched reluctance motor (SRM). It is designed to operate with minimum number of switching devices. It makes use of rotor position signals, speed signal, and current signals in the closed loop feedback control. The proposed scheme is useful for low power rating applications. Use of off-the-shelf electronic components makes the controller simple, reliable, and economical. The test results are presented for 4 kW, 4-phase, 1500 rpm motor which has 8 poles on the stator and 6 poles on the rotor.
{"title":"Development of a simple analog controller for switched reluctance motor","authors":"V. Sharma, B. Singh, S. Murthy","doi":"10.1109/ICIT.2000.854235","DOIUrl":"https://doi.org/10.1109/ICIT.2000.854235","url":null,"abstract":"This paper presents a simple analog control scheme for speed control of switched reluctance motor (SRM). It is designed to operate with minimum number of switching devices. It makes use of rotor position signals, speed signal, and current signals in the closed loop feedback control. The proposed scheme is useful for low power rating applications. Use of off-the-shelf electronic components makes the controller simple, reliable, and economical. The test results are presented for 4 kW, 4-phase, 1500 rpm motor which has 8 poles on the stator and 6 poles on the rotor.","PeriodicalId":405648,"journal":{"name":"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121207435","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}
Pub Date : 2000-01-19DOI: 10.1109/ICIT.2000.854249
K. Tang, K. Ko, S. Chan, E. Wong
Placing thousands of videos into multiple storage disk arrays is considered a tedious but major task in the centralized video-on-demand system. This time-consuming task is handled by experienced operators. The solution is hence sub-optimal and operator-dependent. In this paper, a genetic algorithm (GA) is proposed to tackle this problem and to allocate the video automatically. The advantages of using GA are its elegance and simplicity of procedures, as well as the ability to handle different system constraints and optimize the multiple objectives.
{"title":"Video placement in video-on-demand system using genetic algorithm","authors":"K. Tang, K. Ko, S. Chan, E. Wong","doi":"10.1109/ICIT.2000.854249","DOIUrl":"https://doi.org/10.1109/ICIT.2000.854249","url":null,"abstract":"Placing thousands of videos into multiple storage disk arrays is considered a tedious but major task in the centralized video-on-demand system. This time-consuming task is handled by experienced operators. The solution is hence sub-optimal and operator-dependent. In this paper, a genetic algorithm (GA) is proposed to tackle this problem and to allocate the video automatically. The advantages of using GA are its elegance and simplicity of procedures, as well as the ability to handle different system constraints and optimize the multiple objectives.","PeriodicalId":405648,"journal":{"name":"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129309238","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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