Pub Date : 2000-01-19DOI: 10.1109/ICIT.2000.854103
N. Sinha
This paper presents a brief survey of the classical methods of system identification and their shortcomings. It also presents the advances made using tools from artificial intelligence, and discusses the directions for future work utilizing the advances made in soft computing.
{"title":"System identification: from frequency response to soft computing","authors":"N. Sinha","doi":"10.1109/ICIT.2000.854103","DOIUrl":"https://doi.org/10.1109/ICIT.2000.854103","url":null,"abstract":"This paper presents a brief survey of the classical methods of system identification and their shortcomings. It also presents the advances made using tools from artificial intelligence, and discusses the directions for future work utilizing the advances made in soft computing.","PeriodicalId":405648,"journal":{"name":"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","volume":"35 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":"116945744","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.2000.854234
M. Boutayeb, M. Darouach
In this paper we propose a simple and useful method for recursive identification of multi-input single-output (MISO) Hammerstein model in the presence of unknown but bounded disturbances. The proposed algorithm is performed so that the estimated parameters are consistent with the measurements and the noise constraints. Sufficient conditions for asymptotic convergence are established by the aid of the Lyapunov approach.
{"title":"Identification of the Hammerstein model in the presence of bounded disturbances","authors":"M. Boutayeb, M. Darouach","doi":"10.1109/ICIT.2000.854234","DOIUrl":"https://doi.org/10.1109/ICIT.2000.854234","url":null,"abstract":"In this paper we propose a simple and useful method for recursive identification of multi-input single-output (MISO) Hammerstein model in the presence of unknown but bounded disturbances. The proposed algorithm is performed so that the estimated parameters are consistent with the measurements and the noise constraints. Sufficient conditions for asymptotic convergence are established by the aid of the Lyapunov approach.","PeriodicalId":405648,"journal":{"name":"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","volume":"8 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":"115086054","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.2000.854104
B. Bica, A. Chipperfield, P. Fleming
This paper investigates the use of a nonconventional approach to the control of a gas turbine aeroengine. The rationale behind this study is the need to develop advanced tools and techniques that can assist in improving the performances of the system and which simultaneously enhance the flexibility of the control strategy. Here, two such methods, fuzzy logic and evolutionary algorithms, are considered. Emerging from new requirements for gas turbine engine control, a flexible gain scheduler is developed and analysed. A hierarchical multiobjective genetic algorithm is developed to perform search and optimisation of the candidate fuzzy scheduling solutions.
{"title":"Towards fuzzy gain scheduling for gas turbine aero-engine systems: a multiobjective approach","authors":"B. Bica, A. Chipperfield, P. Fleming","doi":"10.1109/ICIT.2000.854104","DOIUrl":"https://doi.org/10.1109/ICIT.2000.854104","url":null,"abstract":"This paper investigates the use of a nonconventional approach to the control of a gas turbine aeroengine. The rationale behind this study is the need to develop advanced tools and techniques that can assist in improving the performances of the system and which simultaneously enhance the flexibility of the control strategy. Here, two such methods, fuzzy logic and evolutionary algorithms, are considered. Emerging from new requirements for gas turbine engine control, a flexible gain scheduler is developed and analysed. A hierarchical multiobjective genetic algorithm is developed to perform search and optimisation of the candidate fuzzy scheduling solutions.","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":"130065693","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.2000.854240
D. Kothari
ANNs (artificial neural networks) have attracted considerable attention as candidates for computational systems due to the variety of advantages they offer over the conventional computational systems. Among these advantages, the ability to memorise, rapidity and robustness are the most profound and interesting properties which have attracted attention in many fields. The paper critically reviews the ANN related publications involving typical power system problems during the 1990s. A brief overview of the ANN theory, different models and their applications is given.
{"title":"Application of neural networks to power systems","authors":"D. Kothari","doi":"10.1109/ICIT.2000.854240","DOIUrl":"https://doi.org/10.1109/ICIT.2000.854240","url":null,"abstract":"ANNs (artificial neural networks) have attracted considerable attention as candidates for computational systems due to the variety of advantages they offer over the conventional computational systems. Among these advantages, the ability to memorise, rapidity and robustness are the most profound and interesting properties which have attracted attention in many fields. The paper critically reviews the ANN related publications involving typical power system problems during the 1990s. A brief overview of the ANN theory, different models and their applications is given.","PeriodicalId":405648,"journal":{"name":"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","volume":"28 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":"125400516","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.2000.854215
A. Kapoor, R. Mahanty
Harmonic related problems in the electric utility are on the rise due to the proliferation of nonlinear power electronic industrial and domestic loads, which are prerequisites for energy efficiency. Passive, active and hybrid filters are countermeasures against these problems. To overcome the limitations of these filters, a simple and cost effective quasi-passive filter (QPF) topology is proposed in this paper. It comprises of a parallel and series LC tank circuit. The circuit utilizes large value AC capacitor. DC capacitors and power semiconductor devices are used to realize this capacitor.
{"title":"A quasi passive filter for power quality improvement","authors":"A. Kapoor, R. Mahanty","doi":"10.1109/ICIT.2000.854215","DOIUrl":"https://doi.org/10.1109/ICIT.2000.854215","url":null,"abstract":"Harmonic related problems in the electric utility are on the rise due to the proliferation of nonlinear power electronic industrial and domestic loads, which are prerequisites for energy efficiency. Passive, active and hybrid filters are countermeasures against these problems. To overcome the limitations of these filters, a simple and cost effective quasi-passive filter (QPF) topology is proposed in this paper. It comprises of a parallel and series LC tank circuit. The circuit utilizes large value AC capacitor. DC capacitors and power semiconductor devices are used to realize this capacitor.","PeriodicalId":405648,"journal":{"name":"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","volume":"98 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":"116263587","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.2000.854092
I. Doležel, V. Valouch, J. Skramlik
The paper deals with equivalent multiblock circuits of the induction motor suitable for the analysis of parasitic high-frequency currents in the common and differential modes. Theoretical considerations are supplemented by several illustrative examples aimed at computational and experimental determination of a number of different quantities such as time responses of currents in both modes in a system consisting of the PWM inverter, long cable and induction motor. Discussed are also possibilities of evaluation of interferences in parallel telecommunication and signal lines produced by current pulses in the power feeding cable.
{"title":"High frequency models of transistor voltage inverter-fed induction motor drives","authors":"I. Doležel, V. Valouch, J. Skramlik","doi":"10.1109/ICIT.2000.854092","DOIUrl":"https://doi.org/10.1109/ICIT.2000.854092","url":null,"abstract":"The paper deals with equivalent multiblock circuits of the induction motor suitable for the analysis of parasitic high-frequency currents in the common and differential modes. Theoretical considerations are supplemented by several illustrative examples aimed at computational and experimental determination of a number of different quantities such as time responses of currents in both modes in a system consisting of the PWM inverter, long cable and induction motor. Discussed are also possibilities of evaluation of interferences in parallel telecommunication and signal lines produced by current pulses in the power feeding cable.","PeriodicalId":405648,"journal":{"name":"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","volume":"223 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":"115831540","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.2000.854121
G. Pillai, A. Ghosh, A. Joshi
In this paper application of voltage source inverter (VSI) based series compensator, known as static synchronous series compensator (SSSC), is studied. A power flow controller is designed for a 48-step SSSC. Small signal and large signal torsional characteristics of an SSSC compensated power system are studied. The effects of DC link capacitor of the SSSC on torsional modes are studied. An integral state feedback controller is proposed to improve the torsional characteristics of the SSSC. The torsional characteristics are studied through eigenvalue analysis and the results are validated through PSCAD/EMTDC simulation studies.
{"title":"Torsional interaction studies on a series compensator based on solid-state synchronous voltage source","authors":"G. Pillai, A. Ghosh, A. Joshi","doi":"10.1109/ICIT.2000.854121","DOIUrl":"https://doi.org/10.1109/ICIT.2000.854121","url":null,"abstract":"In this paper application of voltage source inverter (VSI) based series compensator, known as static synchronous series compensator (SSSC), is studied. A power flow controller is designed for a 48-step SSSC. Small signal and large signal torsional characteristics of an SSSC compensated power system are studied. The effects of DC link capacitor of the SSSC on torsional modes are studied. An integral state feedback controller is proposed to improve the torsional characteristics of the SSSC. The torsional characteristics are studied through eigenvalue analysis and the results are validated through PSCAD/EMTDC simulation studies.","PeriodicalId":405648,"journal":{"name":"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","volume":"91 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":"131780075","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.2000.854094
G. Juhász, S. Halász, K. Veszprémi
Direct torque control (DTC) is a competitive alternative to the field oriented control nowadays in practical application. By DTC, the flux and the torque of the induction machine can be controlled directly. This paper presents a simulation working under the DTC concept, but for practical implementation some new aspects should be investigated: (1) the current is controlled indirectly, requiring the implementation of the current limitation mainly during starting operation; (2) the low speed operation is a special case of this drive. The possible unstable operating should be avoided; and (3) the dynamic limits of the power switches must be considered. It contains the switching frequency, the minimal pulse width and the dead-time of the switches in the same inverter leg. Simulation and experimental results are given.
{"title":"New aspects of a direct torque controlled induction motor drive","authors":"G. Juhász, S. Halász, K. Veszprémi","doi":"10.1109/ICIT.2000.854094","DOIUrl":"https://doi.org/10.1109/ICIT.2000.854094","url":null,"abstract":"Direct torque control (DTC) is a competitive alternative to the field oriented control nowadays in practical application. By DTC, the flux and the torque of the induction machine can be controlled directly. This paper presents a simulation working under the DTC concept, but for practical implementation some new aspects should be investigated: (1) the current is controlled indirectly, requiring the implementation of the current limitation mainly during starting operation; (2) the low speed operation is a special case of this drive. The possible unstable operating should be avoided; and (3) the dynamic limits of the power switches must be considered. It contains the switching frequency, the minimal pulse width and the dead-time of the switches in the same inverter leg. Simulation and experimental results are given.","PeriodicalId":405648,"journal":{"name":"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","volume":"88 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":"133619094","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.2000.854195
W. Wonham
Discrete-event systems (DES) encompass manufacturing systems, traffic systems, logistic systems, and distributed control and communication networks. The associated processes are discrete (in time and space), asynchronous (event-driven rather than clock-driven) and generative (nondeterministic). In recent years, a theory has emerged of the control of DES, in a setting of finite automata and regular languages; the theory has found application to a range of industrial control processes. This paper provides a tutorial introduction, including an illustrative design problem.
{"title":"Supervisory control of discrete-event systems: an introduction","authors":"W. Wonham","doi":"10.1109/ICIT.2000.854195","DOIUrl":"https://doi.org/10.1109/ICIT.2000.854195","url":null,"abstract":"Discrete-event systems (DES) encompass manufacturing systems, traffic systems, logistic systems, and distributed control and communication networks. The associated processes are discrete (in time and space), asynchronous (event-driven rather than clock-driven) and generative (nondeterministic). In recent years, a theory has emerged of the control of DES, in a setting of finite automata and regular languages; the theory has found application to a range of industrial control processes. This paper provides a tutorial introduction, including an illustrative design problem.","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":"133766620","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.2000.854230
T. F. Junge, H. Unbehauen
This paper presents an enhanced version of the "online adaptive k-tree lattice learning" (ONALAL) algorithm to train "rectangular local linear model" (RLLM) networks. It is especially designed for online identification of nonlinear dynamical systems using the NARX structure. Basically, the algorithm performs a recursive adaptation of the complete structure and all parameters of the network. Thus, the significant inputs of the network (regressors of the NARX structure) as well as the number of local linear models are automatically determined. Furthermore, the parameters of each local linear model are optimized using a recursive optimization method (RLS algorithm). This leads to parsimonious models of SISO or MIMO dynamical systems, a primordial aim when solving nonlinear system identification problems. The effectiveness and the performance of the new approach is demonstrated by the real-time identification of a highly nonlinear plant-a turbogenerator.
{"title":"Recursive identification of a turbo-generator plant using structurally adaptive neural networks","authors":"T. F. Junge, H. Unbehauen","doi":"10.1109/ICIT.2000.854230","DOIUrl":"https://doi.org/10.1109/ICIT.2000.854230","url":null,"abstract":"This paper presents an enhanced version of the \"online adaptive k-tree lattice learning\" (ONALAL) algorithm to train \"rectangular local linear model\" (RLLM) networks. It is especially designed for online identification of nonlinear dynamical systems using the NARX structure. Basically, the algorithm performs a recursive adaptation of the complete structure and all parameters of the network. Thus, the significant inputs of the network (regressors of the NARX structure) as well as the number of local linear models are automatically determined. Furthermore, the parameters of each local linear model are optimized using a recursive optimization method (RLS algorithm). This leads to parsimonious models of SISO or MIMO dynamical systems, a primordial aim when solving nonlinear system identification problems. The effectiveness and the performance of the new approach is demonstrated by the real-time identification of a highly nonlinear plant-a turbogenerator.","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":"131676733","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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