Pub Date : 2001-12-01DOI: 10.1109/SICE.2001.977796
K. Gulez, N. Mutoh, F. Harashima, K. Ohnishi
Fixing conducted electromagnetic interference (EMI) problems with EMI filters is not en exact science. It normally involves a cut-and-trial process for a designer to come up with a proper filter design or approximation. As such, designing a filter is a time-consuming process for beginning engineers as well as for experienced engineers when they face new design circumstances. Due to this, predicting and solving EMI emissions related to common mode ones, induction motor drive systems require various frequency-dependent effects to be considered. Thus, the application of circuitry to increase the performance per size, prevent dependency on some parameters of the motor and the new conditions corresponding to the new technological improvements in our daily systems for an EMI filter is considered.
{"title":"An approximation to EMI noise problem to design an appropriate EMI filter for induction motor control systems","authors":"K. Gulez, N. Mutoh, F. Harashima, K. Ohnishi","doi":"10.1109/SICE.2001.977796","DOIUrl":"https://doi.org/10.1109/SICE.2001.977796","url":null,"abstract":"Fixing conducted electromagnetic interference (EMI) problems with EMI filters is not en exact science. It normally involves a cut-and-trial process for a designer to come up with a proper filter design or approximation. As such, designing a filter is a time-consuming process for beginning engineers as well as for experienced engineers when they face new design circumstances. Due to this, predicting and solving EMI emissions related to common mode ones, induction motor drive systems require various frequency-dependent effects to be considered. Thus, the application of circuitry to increase the performance per size, prevent dependency on some parameters of the motor and the new conditions corresponding to the new technological improvements in our daily systems for an EMI filter is considered.","PeriodicalId":415046,"journal":{"name":"SICE 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers (IEEE Cat. No.01TH8603)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127535579","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 : 2001-07-27DOI: 10.1109/SICE.2001.977854
S. Tunyasrirut, J. Ngamwiwit, T. Furuya, Y. Yamamoto
Proposes a self-tuning fuzzy logic controller for the slip energy recovery system. The control system is designed to maintain efficiency of motor by keeping the speed constant and the good transient response by using direct torque control. Fuzzy logic controller has been designed by genetic algorithm optimization technique as a means to determine and optimize the fuzzy logic controller design. In the proposed approach normalization factors and/or membership function parameters and/or the controller policy, are translated into bit-strings. These bit-strings are processed by the genetic algorithm and if the selection process as well as the objective function is chosen properly, a near-optimal solution can be found. To examine the efficiency of the proposed approach, a self-tuning fuzzy logic controller for direct torque control of the wound rotor induction motor drive is designed for the current in DC link circuit. A particular objective function is chosen to achieve a high dynamic performance. The simulation results demonstrate a significant enhancement in shortening the development time, and improving system performance over a conventional fuzzy logic controller.
{"title":"Self-tuning fuzzy logic controller for direct torque control of slip energy recovery system","authors":"S. Tunyasrirut, J. Ngamwiwit, T. Furuya, Y. Yamamoto","doi":"10.1109/SICE.2001.977854","DOIUrl":"https://doi.org/10.1109/SICE.2001.977854","url":null,"abstract":"Proposes a self-tuning fuzzy logic controller for the slip energy recovery system. The control system is designed to maintain efficiency of motor by keeping the speed constant and the good transient response by using direct torque control. Fuzzy logic controller has been designed by genetic algorithm optimization technique as a means to determine and optimize the fuzzy logic controller design. In the proposed approach normalization factors and/or membership function parameters and/or the controller policy, are translated into bit-strings. These bit-strings are processed by the genetic algorithm and if the selection process as well as the objective function is chosen properly, a near-optimal solution can be found. To examine the efficiency of the proposed approach, a self-tuning fuzzy logic controller for direct torque control of the wound rotor induction motor drive is designed for the current in DC link circuit. A particular objective function is chosen to achieve a high dynamic performance. The simulation results demonstrate a significant enhancement in shortening the development time, and improving system performance over a conventional fuzzy logic controller.","PeriodicalId":415046,"journal":{"name":"SICE 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers (IEEE Cat. No.01TH8603)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124266115","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 : 2001-07-27DOI: 10.1109/SICE.2001.977799
M. Mizoguchi, H. Onuma, H. Ito, I. Takami, N. Akasaka, T. Fukuda
In a bottle or can filling plant, the beverage should be chilled to the appropriate temperature. A plate heat exchanger is usually applied to do the cooling. We propose a new cooling method. The coolant is supplied from the refrigeration unit directly to the plate heat exchanger. The flow of it is controlled using a bypass valve. In order to improve the response and precision of the control, an observer and a regulator are introduced. Through simulations and an experiment at an experimental plant, we can conclude that our proposed method can be utilized in an actual filling plant.
{"title":"Temperature control of a plate heat exchanger using an observer","authors":"M. Mizoguchi, H. Onuma, H. Ito, I. Takami, N. Akasaka, T. Fukuda","doi":"10.1109/SICE.2001.977799","DOIUrl":"https://doi.org/10.1109/SICE.2001.977799","url":null,"abstract":"In a bottle or can filling plant, the beverage should be chilled to the appropriate temperature. A plate heat exchanger is usually applied to do the cooling. We propose a new cooling method. The coolant is supplied from the refrigeration unit directly to the plate heat exchanger. The flow of it is controlled using a bypass valve. In order to improve the response and precision of the control, an observer and a regulator are introduced. Through simulations and an experiment at an experimental plant, we can conclude that our proposed method can be utilized in an actual filling plant.","PeriodicalId":415046,"journal":{"name":"SICE 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers (IEEE Cat. No.01TH8603)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134222328","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 : 2001-07-27DOI: 10.1109/SICE.2001.977838
Yaping Dai, Jie Chen, Xiaodong Liu
Describes an algorithm for fusion of tracks created by two kinds of sensor (radar and IR), these measurement data are obtained with different dimensions and different sample rates. By means of the time matching technique, two asynchronous data are fused and then the filter is updated according to the fused information. The rotation Kalman filter algorithm for data fusion is discussed; this approach can effectively solve the problem of nonlinear measurement and reduce the load of calculation.
{"title":"Two kinds of sensor data fusion in target tracking","authors":"Yaping Dai, Jie Chen, Xiaodong Liu","doi":"10.1109/SICE.2001.977838","DOIUrl":"https://doi.org/10.1109/SICE.2001.977838","url":null,"abstract":"Describes an algorithm for fusion of tracks created by two kinds of sensor (radar and IR), these measurement data are obtained with different dimensions and different sample rates. By means of the time matching technique, two asynchronous data are fused and then the filter is updated according to the fused information. The rotation Kalman filter algorithm for data fusion is discussed; this approach can effectively solve the problem of nonlinear measurement and reduce the load of calculation.","PeriodicalId":415046,"journal":{"name":"SICE 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers (IEEE Cat. No.01TH8603)","volume":"246 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122129945","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 : 2001-07-27DOI: 10.1109/SICE.2001.977867
P. Park, Dong Kyoo Kim, S. C. Jung, Won Seok Park
Introduces a frequency-domain adaptive algorithm based on the recursive least squares (RLS) concept and a sliding FFT and suggests a method of efficiently incrementing the hopping-index of a sliding FFT. The proposed algorithm increases the convergence speed and substantially reduces computational complexity, compared with existing frequency-domain adaptive algorithms, and performs excellently in ill-conditioned channel equalization.
{"title":"The frequency-domain RLS algorithm with incremental hopping-index","authors":"P. Park, Dong Kyoo Kim, S. C. Jung, Won Seok Park","doi":"10.1109/SICE.2001.977867","DOIUrl":"https://doi.org/10.1109/SICE.2001.977867","url":null,"abstract":"Introduces a frequency-domain adaptive algorithm based on the recursive least squares (RLS) concept and a sliding FFT and suggests a method of efficiently incrementing the hopping-index of a sliding FFT. The proposed algorithm increases the convergence speed and substantially reduces computational complexity, compared with existing frequency-domain adaptive algorithms, and performs excellently in ill-conditioned channel equalization.","PeriodicalId":415046,"journal":{"name":"SICE 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers (IEEE Cat. No.01TH8603)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125820619","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 : 2001-07-27DOI: 10.1109/SICE.2001.977807
Dongryul Jang, Young Han Kim, K. Hwang
A new method of process identification for a second-order plus dead time model is proposed and tested with two example systems. In the activation of the example processes for the identification, a rectangular pulse input is applied to open loop systems. The estimation of model parameters is conducted by minimizing sum of modeling errors with the least squares method. The estimation performance is examined by comparing the pulse responses from the example system and the estimated model. The performance comparison of the proposed method and two existing techniques indicates that satisfactory parameter estimation is available from the proposed procedure. In addition, the role of sampling time and the aspect ratio of input pulse is examined and the noise robustness of the estimation in noisy process is investigated.
{"title":"Process identification for second-order plus dead time model using pulse input","authors":"Dongryul Jang, Young Han Kim, K. Hwang","doi":"10.1109/SICE.2001.977807","DOIUrl":"https://doi.org/10.1109/SICE.2001.977807","url":null,"abstract":"A new method of process identification for a second-order plus dead time model is proposed and tested with two example systems. In the activation of the example processes for the identification, a rectangular pulse input is applied to open loop systems. The estimation of model parameters is conducted by minimizing sum of modeling errors with the least squares method. The estimation performance is examined by comparing the pulse responses from the example system and the estimated model. The performance comparison of the proposed method and two existing techniques indicates that satisfactory parameter estimation is available from the proposed procedure. In addition, the role of sampling time and the aspect ratio of input pulse is examined and the noise robustness of the estimation in noisy process is investigated.","PeriodicalId":415046,"journal":{"name":"SICE 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers (IEEE Cat. No.01TH8603)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133210246","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 : 2001-07-27DOI: 10.1109/SICE.2001.977872
Won-Kee Son, J. Choi, O. Kwon
In this paper, a linear matrix inequality (LMI)-based robust combined control method, which is combined model predictive control (MPC) with the feedback linearization (FL), is presented for constrained nonlinear systems with parameter uncertainty. This scheme is designed in the following 3 steps: Polytopic description of nonlinear system with a parameter uncertainty via FL, Mapping of actual input constraint by FL, Optimization of the constrained MPC problem based on LMI. To verify the performance and usefulness of the control method proposed in this paper, some simulations with application to a flexible single link manipulator are performed.
{"title":"Robust control of feedback linearizable system with the parameter uncertainty and input constraint","authors":"Won-Kee Son, J. Choi, O. Kwon","doi":"10.1109/SICE.2001.977872","DOIUrl":"https://doi.org/10.1109/SICE.2001.977872","url":null,"abstract":"In this paper, a linear matrix inequality (LMI)-based robust combined control method, which is combined model predictive control (MPC) with the feedback linearization (FL), is presented for constrained nonlinear systems with parameter uncertainty. This scheme is designed in the following 3 steps: Polytopic description of nonlinear system with a parameter uncertainty via FL, Mapping of actual input constraint by FL, Optimization of the constrained MPC problem based on LMI. To verify the performance and usefulness of the control method proposed in this paper, some simulations with application to a flexible single link manipulator are performed.","PeriodicalId":415046,"journal":{"name":"SICE 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers (IEEE Cat. No.01TH8603)","volume":"32 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123283349","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 : 2001-07-25DOI: 10.1109/SICE.2001.977861
H. Kanada, T. Ogawa, K. Mori, M. Sakata
A method to estimate the elastic moduli of composite material from the impact sound was proposed. For estimating the degree of fatigue of the material, it is important to detect long-term components as well as periodic components. We propose to use answer-in-weights networks for estimating the periodic and long-term components of the damping waveform, simultaneously. To show the effectiveness of the method, we performed simulations on the damping vibration data occurring due to the impact sound of the composite material.
{"title":"Analysis of impact sound waveform by answer-in-weights neural network","authors":"H. Kanada, T. Ogawa, K. Mori, M. Sakata","doi":"10.1109/SICE.2001.977861","DOIUrl":"https://doi.org/10.1109/SICE.2001.977861","url":null,"abstract":"A method to estimate the elastic moduli of composite material from the impact sound was proposed. For estimating the degree of fatigue of the material, it is important to detect long-term components as well as periodic components. We propose to use answer-in-weights networks for estimating the periodic and long-term components of the damping waveform, simultaneously. To show the effectiveness of the method, we performed simulations on the damping vibration data occurring due to the impact sound of the composite material.","PeriodicalId":415046,"journal":{"name":"SICE 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers (IEEE Cat. No.01TH8603)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125922246","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 : 2001-07-25DOI: 10.1109/SICE.2001.977843
T. Kondo, A. Pandya
In this study, the logistic GMDH-type neural networks are applied to the medical image recognition. This neural network algorithm is based on the conventional GMDH-type neural networks that can automatically organize neural network architecture by using the heuristic self-organization method. In the logistic GMDH-type neural networks, a lot of complex nonlinear combinations of the input variables fitting the complexity of the nonlinear system are generated and only useful combinations of the input variables are selected for organizing the neural network architecture. Therefore, the neural networks organized by the logistic GMDH-type neural networks have good generalization ability even if the characteristic of the nonlinear system is very complex. In this study, the logistic GMDH-type neural networks are applied to the medical image recognition and it is shown that the logistic GMDH-type neural networks are accurate and useful method for the medical image recognition.
{"title":"Medical image recognition by using logistic GMDH-type neural networks","authors":"T. Kondo, A. Pandya","doi":"10.1109/SICE.2001.977843","DOIUrl":"https://doi.org/10.1109/SICE.2001.977843","url":null,"abstract":"In this study, the logistic GMDH-type neural networks are applied to the medical image recognition. This neural network algorithm is based on the conventional GMDH-type neural networks that can automatically organize neural network architecture by using the heuristic self-organization method. In the logistic GMDH-type neural networks, a lot of complex nonlinear combinations of the input variables fitting the complexity of the nonlinear system are generated and only useful combinations of the input variables are selected for organizing the neural network architecture. Therefore, the neural networks organized by the logistic GMDH-type neural networks have good generalization ability even if the characteristic of the nonlinear system is very complex. In this study, the logistic GMDH-type neural networks are applied to the medical image recognition and it is shown that the logistic GMDH-type neural networks are accurate and useful method for the medical image recognition.","PeriodicalId":415046,"journal":{"name":"SICE 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers (IEEE Cat. No.01TH8603)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125521518","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 : 2001-07-25DOI: 10.1109/SICE.2001.977806
T. Lin, M. Tsuji, E. Yamada
Frequency is an important parameter of electric power system, also a key index of power quality. A new approach to the estimation of power system frequency using wavelet transform is proposed in this paper. This approach adopts a complex wavelet function as band pass FIR filters to estimate the instantaneous average frequency in its pass frequency band. Besides this, a recursive algorithm of continuous wavelet transform (CWT) based on polynomial type wavelet function is also presented, by which this wavelet approach is very suitable for real time implementation. The performance evaluation exhibits a high robustness and estimation accuracy of the proposed technique over a wide range of frequency deviation. It is further shown that this approach is capable of tracking power system frequency under dynamic conditions, and is immune to the effects of harmonics and decaying DC component.
{"title":"A wavelet approach to real time estimation of power system frequency","authors":"T. Lin, M. Tsuji, E. Yamada","doi":"10.1109/SICE.2001.977806","DOIUrl":"https://doi.org/10.1109/SICE.2001.977806","url":null,"abstract":"Frequency is an important parameter of electric power system, also a key index of power quality. A new approach to the estimation of power system frequency using wavelet transform is proposed in this paper. This approach adopts a complex wavelet function as band pass FIR filters to estimate the instantaneous average frequency in its pass frequency band. Besides this, a recursive algorithm of continuous wavelet transform (CWT) based on polynomial type wavelet function is also presented, by which this wavelet approach is very suitable for real time implementation. The performance evaluation exhibits a high robustness and estimation accuracy of the proposed technique over a wide range of frequency deviation. It is further shown that this approach is capable of tracking power system frequency under dynamic conditions, and is immune to the effects of harmonics and decaying DC component.","PeriodicalId":415046,"journal":{"name":"SICE 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers (IEEE Cat. No.01TH8603)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125545724","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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