{"title":"Fault compensation control method for interconnected voltage-type power converters","authors":"C. Burlacu, E. Masada","doi":"10.1109/ISIE.1997.649019","DOIUrl":"https://doi.org/10.1109/ISIE.1997.649019","url":null,"abstract":"More reliable and a respective better power quality are the main requirements for any power supply system operating for a distributed power network, an industrial plant or, more particular case, for a train drive. A new algorithm to decide, compute and analyze a compensation method that improves the power system performance is proposed, based on a complex bilinear model of two parallel connected voltage-type power converters. Analysis is performed for normal operating conditions as a reference for derated and faulted operation analysis. A specially computed term is used for the feedback compensation, and an optimum parameter identification is explained providing a strong basis for a unified theory of analysis for hybrid bilinear systems. It is proved that the method acts automatically for any of the analyzed operation conditions, and a well solved trade-off between parameters chosen for reliability and power quality, guarantees the method's success.","PeriodicalId":134474,"journal":{"name":"ISIE '97 Proceeding of the IEEE International Symposium on Industrial Electronics","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115135110","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}
{"title":"Fuzzy neural networks versus alternative approaches in medical decision support","authors":"M. Gorzałczany","doi":"10.1109/ISIE.1997.648927","DOIUrl":"https://doi.org/10.1109/ISIE.1997.648927","url":null,"abstract":"One of two goals of this paper is to briefly present a methodology for medical decision support systems design which is able to utilize two main types of medical knowledge usually contributing to medical diagnosis: a qualitative one (linguistic rules provided by human experts) and a quantitative one (numerical data obtained from medical tests). This methodology is based on fuzzy neural networks and has been successfully applied to the design of a support system for the treatment of duodenal ulcer with the use of highly selective vagotomy. The second goal of the paper is to carry out a broad comparative analysis of the proposed methodology with several alternative approaches (rough sets, discriminant analysis, location model, probabilistic inductive learning).","PeriodicalId":134474,"journal":{"name":"ISIE '97 Proceeding of the IEEE International Symposium on Industrial Electronics","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123118228","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}
Tae-Kyoon Ha, Chang Hwan Kim, Ji H. Kim, Sangjin Pyo, S. Lim
{"title":"Simple and high-performance drive of switched reluctance motors for low-cost applications","authors":"Tae-Kyoon Ha, Chang Hwan Kim, Ji H. Kim, Sangjin Pyo, S. Lim","doi":"10.1109/ISIE.1997.649037","DOIUrl":"https://doi.org/10.1109/ISIE.1997.649037","url":null,"abstract":"The dynamic characteristics of a switched reluctance motor (SRM) are highly nonlinear and it is very difficult to model SRM accurately and to control SRM with high performance. In this paper, we propose a simple control structure and algorithm for SRM. The torque ripple minimization is studied by using an iterative learning algorithm which can automatically find torque-angle-current characteristics of SRM, and a simple angle compensator is proposed in order to compensate phase delay in current control. Based on the obtained knowledge on torque-angle current characteristics, velocity controller and current controller are designed and implemented by a microcomputer based digital control and analog circuits. The high performance and practical feasibility on low-cost commercial applications are confirmed through experimental results.","PeriodicalId":134474,"journal":{"name":"ISIE '97 Proceeding of the IEEE International Symposium on Industrial Electronics","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116853096","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}
{"title":"Identification and control of a nonlinear bioreactor plant using classical and dynamical neural networks","authors":"M. Onder Efe, O. Kaynak","doi":"10.1109/ISIE.1997.648914","DOIUrl":"https://doi.org/10.1109/ISIE.1997.648914","url":null,"abstract":"In this study, the identification and control of a bioreactor plant using neural networks is considered with three different control strategies, namely, inverse control strategy, self-learning control and dynamical neural units for control of nonlinear dynamical systems. The performance of these methods are compared using several comparison measures.","PeriodicalId":134474,"journal":{"name":"ISIE '97 Proceeding of the IEEE International Symposium on Industrial Electronics","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120841014","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}
{"title":"A computer-based fuzzy temperature controller for environmental chambers","authors":"P. Salgado, J. B. Cunha, C. Couto","doi":"10.1109/ISIE.1997.648903","DOIUrl":"https://doi.org/10.1109/ISIE.1997.648903","url":null,"abstract":"This paper describes a computer-based temperature control system for an environmental chamber. The identification of the thermal process was made from the analysis of the collected output data in response to random generated input signals. Using this model the optimal linear and nonlinear control strategies were established in order to achieve the desired set-point and to minimize the number of actuations. The actuation over the heating and cooling systems were performed with conventional PID and fuzzy controllers and their responses were compared. This work enhances fuzzy controllers application with self-learning capability to achieve the prescribed control objectives in a near-optimal manner. By applying back-propagation through time it was possible to force the plant block to generate the desired trajectory.","PeriodicalId":134474,"journal":{"name":"ISIE '97 Proceeding of the IEEE International Symposium on Industrial Electronics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127464246","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}
Carlos Serôdio, J. B. Cunha, M. Cordeiro, A. Valente, R. Morais, P. Salgado, C. Couto
{"title":"MNet-DACS: multi-level network data acquisition and control system","authors":"Carlos Serôdio, J. B. Cunha, M. Cordeiro, A. Valente, R. Morais, P. Salgado, C. Couto","doi":"10.1109/ISIE.1997.651787","DOIUrl":"https://doi.org/10.1109/ISIE.1997.651787","url":null,"abstract":"This paper describes the implementation of a distributed data acquisition network based on the 80C592 microcontroller from Intel. Each station is connected in an hierarchical way to form a tree topology. The lower level network stations, designated by slaves, are dedicate to the data acquisition and the generation of control signals. The upper level, masters, are responsible for the communications control. Both networks use a CAN (controller area network) bus, for data transfer, and the global network is also connected to a PC, via a CAN. A device router, NetManager, was implemented to support total intrinsic requirements at the communication level. This type of connection allows total configuration from a personal computer, PC, which runs a software application developed for Windows(TM) environments. The tests performed at the laboratory, with transmission rates varying from 40 kbits/s to 1 Mbits/s, showed that the communications were performed without errors for cable lengths of 1100 m to 40 m, respectively. This system is now being installed in a set of environmental chambers and greenhouses located on a Portuguese university campus, where it will monitor and control air temperatures and humidities, CO/sub 2/ and ammonia concentrations and the radiation level.","PeriodicalId":134474,"journal":{"name":"ISIE '97 Proceeding of the IEEE International Symposium on Industrial Electronics","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125180816","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}
J. da Silva e Sousa, A.A. Pereira, L. D. de Freitas, A. Farias, J. Batista
{"title":"A full-bridge self-resonant PWM DC to DC converter operating at reduced conduction and commutation losses and working with three different transformers","authors":"J. da Silva e Sousa, A.A. Pereira, L. D. de Freitas, A. Farias, J. Batista","doi":"10.1109/ISIE.1997.648969","DOIUrl":"https://doi.org/10.1109/ISIE.1997.648969","url":null,"abstract":"This paper presents a self-resonant PWM full-bridge DC to DC converter operating at reduced conduction and commutation losses working with three different transformers and using phase-shift control. This converter employs a self-resonant circuit and a tapped inductor for minimizing a circulating current flowing through the transformer and switching devices. The principle of the self-resonant circuit provides the soft switching. It is based on an auxiliary voltage source that feeds the resonant circuit, charging a capacitor which provides the condition for zero voltage switching (ZVS) of the main switches. The proposed approach allows building a converter with high frequency of operation. A detailed analysis of the operation is presented. The output voltage is controlled by PWM. The complete theoretical analysis, operating principles, simulation and experimental results are presented.","PeriodicalId":134474,"journal":{"name":"ISIE '97 Proceeding of the IEEE International Symposium on Industrial Electronics","volume":"226 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123710655","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}
C. Natale, A. Macagnano, A. Mantini, F. Davide, Arnaldo D'Alnico, R. Paolesse, Tristano Boschi, Marco Faccio, Giuseppe Ferri
{"title":"Advances in food analysis by electronic nose","authors":"C. Natale, A. Macagnano, A. Mantini, F. Davide, Arnaldo D'Alnico, R. Paolesse, Tristano Boschi, Marco Faccio, Giuseppe Ferri","doi":"10.1109/ISIE.1997.651747","DOIUrl":"https://doi.org/10.1109/ISIE.1997.651747","url":null,"abstract":"Electronic noses have been designed and utilized for a variety of different applications. Undoubtedly, among these, food analysis has gained the major attention. In fact in food analysis there is a double opportunity for electronic nose developers. The first is that the chemical patterns considered are sometimes rather complex, so the introduction of an instrument able to consider at the same time, in an easy experimental procedure, all the chemical patterns, is certainly appealing. The second aspect of food analysis concerns the wide utilization of natural olfaction and taste. Panels of well trained tasters and smellers are daily utilized to certify the goodness of foods and their fitting with the human taste. Therefore food analysis also represents a practical field where performances of natural and artificial olfaction and taste can be compared and where an electronic nose can be utilized as an essential support of the human capabilities. In this paper some key issues concerning the application of electronic noses to food analysis are examined and examples of applications, related to the electronic nose developed at the University of Rome Tor Vergata are illustrated and discussed.","PeriodicalId":134474,"journal":{"name":"ISIE '97 Proceeding of the IEEE International Symposium on Industrial Electronics","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115330171","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}
{"title":"A new rotor time constant estimation method for indirect vector controlled induction motor drive","authors":"A. Hren, K. Jezernik","doi":"10.1109/ISIE.1997.648877","DOIUrl":"https://doi.org/10.1109/ISIE.1997.648877","url":null,"abstract":"Indirect vector controlled induction motor drives exhibit excellent behaviour even in the low speed region. Thus these motors can be advantageously employed as actuators in several high-performance motor applications. Since the indirect vector control scheme is sensitive to changes in the rotor time constant, the implementation of an estimation mechanism is essential for the success of such a control system. In this paper, a new rotor time constant estimation method for an indirect vector-controlled induction motor drive is described. Its features are simple and cheap implementation and independence of motor parameters which drift with temperature. It does not require any additional transducers or any injected test signals to the stator. The estimation is performed while the loaded motor operates under steady-state conditions. Simulation results are presented which verify the proposed estimation scheme.","PeriodicalId":134474,"journal":{"name":"ISIE '97 Proceeding of the IEEE International Symposium on Industrial Electronics","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122372150","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}
I. El Hassan, X. Roboam, B. de Fornel, E. Westerholt
{"title":"Torque dynamic behaviour of induction machine DTC in 4 quadrant operation","authors":"I. El Hassan, X. Roboam, B. de Fornel, E. Westerholt","doi":"10.1109/ISIE.1997.648879","DOIUrl":"https://doi.org/10.1109/ISIE.1997.648879","url":null,"abstract":"In the framework of direct torque control (DTC) for induction machines, this paper deals with the dynamic behaviour of the torque in all four quadrants of operation. A formal development of the expression of the dynamical machine torque is given. This theoretical derivation is based on a small variation model valid for a short sampling times. It allows to understand and predict the electromagnetic behaviour of the machine in both motor operation and particularly in generator mode. Hence, the \"empirical approach\", usually used to choose the inverter voltage states (voltage vector), is replaced by an analytical approach. This allows to develop a look up table accurately specifying the inverter states that lead to a four-quadrant DTC strategy. Simulation results are presented demonstrating the control performance as well as the validity of the expression of the torque derivative. The main objective of this work aims at a better understanding of the torque behaviour, particularly for generator operation. This allows to design a DTC strategy based on a formal analysis of the induction machine electromagnetic state.","PeriodicalId":134474,"journal":{"name":"ISIE '97 Proceeding of the IEEE International Symposium on Industrial Electronics","volume":"49 8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122744376","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}