Pub Date : 2000-01-22DOI: 10.1109/ICIT.2000.854161
Vincent Verdult, M. Verhaegen, J. Scherpen
This paper presents a method to determine a nonlinear state-space model from a finite number of measurements of the inputs and outputs. The method is based on embedding theory for nonlinear systems, and can be viewed as an extension of the subspace identification method for linear systems. The paper describes the underlying theory and provides some guidelines for using the method in practice. To illustrate the use of the identification method, it was applied to a second-order nonlinear system.
{"title":"Identification of nonlinear nonautonomous state space systems from input-output measurements","authors":"Vincent Verdult, M. Verhaegen, J. Scherpen","doi":"10.1109/ICIT.2000.854161","DOIUrl":"https://doi.org/10.1109/ICIT.2000.854161","url":null,"abstract":"This paper presents a method to determine a nonlinear state-space model from a finite number of measurements of the inputs and outputs. The method is based on embedding theory for nonlinear systems, and can be viewed as an extension of the subspace identification method for linear systems. The paper describes the underlying theory and provides some guidelines for using the method in practice. To illustrate the use of the identification method, it was applied to a second-order nonlinear system.","PeriodicalId":405648,"journal":{"name":"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134497321","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.2000.854239
B. Majumdar, P. Mukherjee, F. A. Talukdar, S. Biswas
A new gate drive circuit for efficient switching of IGBTs has been presented in this paper. This circuit contains a short circuit protection scheme by limiting the IGBT fault current to a lower value through reduction of the IGBT gate voltage and thereby can distinguish a transient from an actual fault. Apart from the short circuit protection, the circuit also protects the IGBT in case of over-temperature. This circuit does not have any speed-up capacitor, differentiating element or latching element, thus giving good immunity towards unwanted noise. The oscillograms presented in this paper confirms satisfactory operation of this circuit.
{"title":"IGBT gate drive circuit with in-built protection and immunity to transient fault","authors":"B. Majumdar, P. Mukherjee, F. A. Talukdar, S. Biswas","doi":"10.1109/ICIT.2000.854239","DOIUrl":"https://doi.org/10.1109/ICIT.2000.854239","url":null,"abstract":"A new gate drive circuit for efficient switching of IGBTs has been presented in this paper. This circuit contains a short circuit protection scheme by limiting the IGBT fault current to a lower value through reduction of the IGBT gate voltage and thereby can distinguish a transient from an actual fault. Apart from the short circuit protection, the circuit also protects the IGBT in case of over-temperature. This circuit does not have any speed-up capacitor, differentiating element or latching element, thus giving good immunity towards unwanted noise. The oscillograms presented in this paper confirms satisfactory operation of this circuit.","PeriodicalId":405648,"journal":{"name":"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","volume":"63 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":"117191176","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.2000.854096
J.P. Tewari, A. Kapoor
A control scheme is presented for trajectory following with robotic manipulators. The method employs a model-referenced adaptive control strategy based on the concepts of hyperstability for correcting deviations from the desired trajectory. The control scheme takes into account dynamic nonlinearities, geometrical and physical nonlinearities, the drive-train dynamics as well as dynamic coupling present in a manipulator. Computer simulations are given to demonstrate the feasibility of the control scheme.
{"title":"An adaptive model following control for robotic manipulators","authors":"J.P. Tewari, A. Kapoor","doi":"10.1109/ICIT.2000.854096","DOIUrl":"https://doi.org/10.1109/ICIT.2000.854096","url":null,"abstract":"A control scheme is presented for trajectory following with robotic manipulators. The method employs a model-referenced adaptive control strategy based on the concepts of hyperstability for correcting deviations from the desired trajectory. The control scheme takes into account dynamic nonlinearities, geometrical and physical nonlinearities, the drive-train dynamics as well as dynamic coupling present in a manipulator. Computer simulations are given to demonstrate the feasibility of the control scheme.","PeriodicalId":405648,"journal":{"name":"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","volume":"19 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":"122326189","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.2000.854185
A. Muthuramalingam, V. Sastry
DC link series resonance (DCLSR) is a new concept in power conversion and in specific to DC to AC conversion using IGBT. In this work, the operation and control strategies of parallel connected inverters delivering to common/distributed load are investigated. The DC-coupled control of link current from output voltage and load enables the parallel connected inverters to share the load power proportional to its individual inverter capacity with output voltage sinusoidal. The inverter operation and above control strategy and its digital implementation are verified through simulation. The results verify the reliable operation and load sharing of inverters connected in parallel at all loads and transients including short circuit condition. The practical and reliability aspects of this inverter is presented.
{"title":"Operation, control and performance evaluation of parallel connected DC link series resonant inverter delivering to distributed load","authors":"A. Muthuramalingam, V. Sastry","doi":"10.1109/ICIT.2000.854185","DOIUrl":"https://doi.org/10.1109/ICIT.2000.854185","url":null,"abstract":"DC link series resonance (DCLSR) is a new concept in power conversion and in specific to DC to AC conversion using IGBT. In this work, the operation and control strategies of parallel connected inverters delivering to common/distributed load are investigated. The DC-coupled control of link current from output voltage and load enables the parallel connected inverters to share the load power proportional to its individual inverter capacity with output voltage sinusoidal. The inverter operation and above control strategy and its digital implementation are verified through simulation. The results verify the reliable operation and load sharing of inverters connected in parallel at all loads and transients including short circuit condition. The practical and reliability aspects of this inverter is presented.","PeriodicalId":405648,"journal":{"name":"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","volume":"49 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":"122105408","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.2000.854130
K. Ichige, N. Otsuka, R. Ishii
This paper proposes the matrix representation of two-dimensional bilinear transformation. Robust stability of two-variable systems is studied as an application of the matrix approach.
提出了二维双线性变换的矩阵表示。作为矩阵方法的一个应用，研究了两变量系统的鲁棒稳定性问题。
{"title":"Matrix approach to two-dimensional bilinear transformation","authors":"K. Ichige, N. Otsuka, R. Ishii","doi":"10.1109/ICIT.2000.854130","DOIUrl":"https://doi.org/10.1109/ICIT.2000.854130","url":null,"abstract":"This paper proposes the matrix representation of two-dimensional bilinear transformation. Robust stability of two-variable systems is studied as an application of the matrix approach.","PeriodicalId":405648,"journal":{"name":"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","volume":"2 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":"129824781","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.2000.854250
P. Mukherjee, B. Majumdar, F. A. Talukdar, S. Biswas
A load transfer mechanism is essential for every UPS system whether it is on-line or off-line. In the present transfer system, a small, fast, 6-Ampere relay is used as a transfer switch. To achieve faster operation, a 6 V-relay coil has been chosen as a low voltage relay coil has a lesser number of turns, implying less inductance. Here the duration of the peak current of the relay coil has been assumed to be the duration for transfer of the load from main to auxiliary source. Only one change over relay contact is enough for the low power transfer switch. The faster relay has minimum physical gap between the contacts. It is not as fast as a static switch, implying relatively larger interruption time, especially at the time of load transfer between mains source to auxiliary. Using suitable speedup circuit, a 6-millisecond transfer time is achieved. This timing tallies with the simulated transfer time.
{"title":"A relay based high speed transfer scheme for UPS system","authors":"P. Mukherjee, B. Majumdar, F. A. Talukdar, S. Biswas","doi":"10.1109/ICIT.2000.854250","DOIUrl":"https://doi.org/10.1109/ICIT.2000.854250","url":null,"abstract":"A load transfer mechanism is essential for every UPS system whether it is on-line or off-line. In the present transfer system, a small, fast, 6-Ampere relay is used as a transfer switch. To achieve faster operation, a 6 V-relay coil has been chosen as a low voltage relay coil has a lesser number of turns, implying less inductance. Here the duration of the peak current of the relay coil has been assumed to be the duration for transfer of the load from main to auxiliary source. Only one change over relay contact is enough for the low power transfer switch. The faster relay has minimum physical gap between the contacts. It is not as fast as a static switch, implying relatively larger interruption time, especially at the time of load transfer between mains source to auxiliary. Using suitable speedup circuit, a 6-millisecond transfer time is achieved. This timing tallies with the simulated transfer time.","PeriodicalId":405648,"journal":{"name":"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","volume":"40 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":"123860837","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.2000.854142
Amit Kumar Srivastava, S. K. Srivastava, K. Shukla
Intelligent electronic nose (ENOSE) system technology is gaining importance in several industrial applications. These include process control and quality control in industries such as foodstuffs, beverages, tobacco, perfumery and pharmaceutical. ENOSE is also crucial component in industrial safety (smoke and hazardous gas detection) as well as environmental pollution control. This paper deals with design of an intelligent ENOSE system for the identification of gas/odours using a sensor array and a neural network pattern classifier. Previous researchers have shown that the power of discrimination increases rapidly with the number of sensors in the array whose information potential is very large and the pattern recognition (PARC) method is a clever way to extract this information. The authors show in this paper with the powerful PARC technique, the need of larger array can be compensated. With this view, they design a neural classifier using two different learning approaches and train the network over the responses of surface acoustic wave (SAW) sensors exposed to hazardous vapours like diethyl sulphide (DES) and iso-octane (ISO). Dimensionality of the data set is varied from 1 to 8 by taking different number of sensors. It is found that for a backpropagation trained neural classifier, the optimum number of sensors required for satisfactory classification under noisy conditions is 4 to 5. This is a very limited range beyond which backpropagation has great difficulty in training the neural classifier even with repeated restarts and different weight initializations. To alleviate this problem, hybridization of soft computing tools like neural networks and genetic algorithms promises to provide the design of better intelligent system. The authors propose the use of a genetic algorithm based on a special MRX operator introduced by them and demonstrate very encouraging results with genetically trained neural network model even with larger as well as smaller numbers of sensors.
{"title":"On the design issue of intelligent electronic nose system","authors":"Amit Kumar Srivastava, S. K. Srivastava, K. Shukla","doi":"10.1109/ICIT.2000.854142","DOIUrl":"https://doi.org/10.1109/ICIT.2000.854142","url":null,"abstract":"Intelligent electronic nose (ENOSE) system technology is gaining importance in several industrial applications. These include process control and quality control in industries such as foodstuffs, beverages, tobacco, perfumery and pharmaceutical. ENOSE is also crucial component in industrial safety (smoke and hazardous gas detection) as well as environmental pollution control. This paper deals with design of an intelligent ENOSE system for the identification of gas/odours using a sensor array and a neural network pattern classifier. Previous researchers have shown that the power of discrimination increases rapidly with the number of sensors in the array whose information potential is very large and the pattern recognition (PARC) method is a clever way to extract this information. The authors show in this paper with the powerful PARC technique, the need of larger array can be compensated. With this view, they design a neural classifier using two different learning approaches and train the network over the responses of surface acoustic wave (SAW) sensors exposed to hazardous vapours like diethyl sulphide (DES) and iso-octane (ISO). Dimensionality of the data set is varied from 1 to 8 by taking different number of sensors. It is found that for a backpropagation trained neural classifier, the optimum number of sensors required for satisfactory classification under noisy conditions is 4 to 5. This is a very limited range beyond which backpropagation has great difficulty in training the neural classifier even with repeated restarts and different weight initializations. To alleviate this problem, hybridization of soft computing tools like neural networks and genetic algorithms promises to provide the design of better intelligent system. The authors propose the use of a genetic algorithm based on a special MRX operator introduced by them and demonstrate very encouraging results with genetically trained neural network model even with larger as well as smaller numbers of sensors.","PeriodicalId":405648,"journal":{"name":"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","volume":"77 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":"123603144","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.2000.854106
M.K. Khan, B. Bandyopadhyay
In this paper, the problem of pole placement by periodic output feedback is presented. The poles of the discrete time control system could be assigned arbitrarily (with the natural restriction that they should be located symmetrically with respect to the real axis), provided that the number of gain changes is not less than the system's controllability index. Linearized models of aircraft are obtained at 10 different flight conditions and the controller is designed for controlling the longitudinal dynamics of aircraft using periodic output feedback. The family of 8 plants, representing the longitudinal dynamic, is also simultaneously stabilized. The controller consisted solely of gain elements and did not include a dynamical system, such as an observer, hence it is easier to implement on line.
{"title":"Control of longitudinal dynamics of aircraft using periodic output feedback","authors":"M.K. Khan, B. Bandyopadhyay","doi":"10.1109/ICIT.2000.854106","DOIUrl":"https://doi.org/10.1109/ICIT.2000.854106","url":null,"abstract":"In this paper, the problem of pole placement by periodic output feedback is presented. The poles of the discrete time control system could be assigned arbitrarily (with the natural restriction that they should be located symmetrically with respect to the real axis), provided that the number of gain changes is not less than the system's controllability index. Linearized models of aircraft are obtained at 10 different flight conditions and the controller is designed for controlling the longitudinal dynamics of aircraft using periodic output feedback. The family of 8 plants, representing the longitudinal dynamic, is also simultaneously stabilized. The controller consisted solely of gain elements and did not include a dynamical system, such as an observer, hence it is easier to implement on line.","PeriodicalId":405648,"journal":{"name":"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","volume":"48 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":"121463246","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.2000.854243
K. Sasi, S. Basu
Four options of wind electric generator (WEG) technology have been studied and compared based on their estimated field performance. The electric generators considered are squirrel cage induction generator (IG), doubly wound cage IG, double output wound rotor IG and permanent magnet generator (PMG). The performance evaluation has been done by developing power flow models of the WEGs. The results highlight the relatively superior performance efficiency of WEGs employing doubly wound IG and double output IG.
{"title":"Technology options for utility grade electric power generation from wind","authors":"K. Sasi, S. Basu","doi":"10.1109/ICIT.2000.854243","DOIUrl":"https://doi.org/10.1109/ICIT.2000.854243","url":null,"abstract":"Four options of wind electric generator (WEG) technology have been studied and compared based on their estimated field performance. The electric generators considered are squirrel cage induction generator (IG), doubly wound cage IG, double output wound rotor IG and permanent magnet generator (PMG). The performance evaluation has been done by developing power flow models of the WEGs. The results highlight the relatively superior performance efficiency of WEGs employing doubly wound IG and double output IG.","PeriodicalId":405648,"journal":{"name":"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","volume":"41 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":"125636125","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.2000.854265
Y. Singh, N.A.R. Araby
Data mining is the process of extracting previously unknown information from an exceedingly large data set with minimum human interference. The useful information may be expressed as relationships between propositions or variables or data elements, which can be used to predict future patterns or behaviour. The present paper investigates evolutionary computing techniques for data mining tasks in the form of discovery of association rules and presents a brief review of evolutionary computation techniques for machine learning systems. The evolution of association rules as subset selection in the best form is comprehensible and modular knowledge for understanding. The experimental results and examples for binary data set are provided to demonstrate the effectiveness of evolutionary computation for rule discovery tasks in form of association rules.
{"title":"Evolutionary approach to data mining","authors":"Y. Singh, N.A.R. Araby","doi":"10.1109/ICIT.2000.854265","DOIUrl":"https://doi.org/10.1109/ICIT.2000.854265","url":null,"abstract":"Data mining is the process of extracting previously unknown information from an exceedingly large data set with minimum human interference. The useful information may be expressed as relationships between propositions or variables or data elements, which can be used to predict future patterns or behaviour. The present paper investigates evolutionary computing techniques for data mining tasks in the form of discovery of association rules and presents a brief review of evolutionary computation techniques for machine learning systems. The evolution of association rules as subset selection in the best form is comprehensible and modular knowledge for understanding. The experimental results and examples for binary data set are provided to demonstrate the effectiveness of evolutionary computation for rule discovery tasks in form of association rules.","PeriodicalId":405648,"journal":{"name":"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","volume":"29 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":"134316247","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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