The application of nonlinear input-output linearization techniques to the control of induction motors is presented. Practical issues concerning discrete time implementation, rotor flux observation and stator current limitation are presented. The use of a high speed digital signal processor (DSP) is particularly appropriate, facilitating a small sampling period and advanced control algorithms. The authors' control scheme is implemented on an industrial induction motor variable speed drive. Practical results are given showing the feasibility of the approach.<>
{"title":"Applied nonlinear control of an induction motor using digital signal processing","authors":"T. V. Raumer, J. Dion, L. Dugard, Jean-Luc Thomas","doi":"10.1109/CCA.1994.381406","DOIUrl":"https://doi.org/10.1109/CCA.1994.381406","url":null,"abstract":"The application of nonlinear input-output linearization techniques to the control of induction motors is presented. Practical issues concerning discrete time implementation, rotor flux observation and stator current limitation are presented. The use of a high speed digital signal processor (DSP) is particularly appropriate, facilitating a small sampling period and advanced control algorithms. The authors' control scheme is implemented on an industrial induction motor variable speed drive. Practical results are given showing the feasibility of the approach.<<ETX>>","PeriodicalId":173370,"journal":{"name":"1994 Proceedings of IEEE International Conference on Control and Applications","volume":"143-147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130620000","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}
The paper describes a low-cost digital controller for central heating and hot water supply in apartment buildings. Dedicated reference value generation algorithms have been designed. The controller is equipped with self-tuning and data logging capabilities.<>
{"title":"Two-channel temperature controller for building","authors":"Z. Świder, L. Trybus, M. Sniezek","doi":"10.1109/CCA.1994.381275","DOIUrl":"https://doi.org/10.1109/CCA.1994.381275","url":null,"abstract":"The paper describes a low-cost digital controller for central heating and hot water supply in apartment buildings. Dedicated reference value generation algorithms have been designed. The controller is equipped with self-tuning and data logging capabilities.<<ETX>>","PeriodicalId":173370,"journal":{"name":"1994 Proceedings of IEEE International Conference on Control and Applications","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123962203","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}
Improving performances of machine-tools can be achieved with predictive control laws instead of classical PID controllers. Previous studies dealing with generalized predictive control (GPC) have proved that a better efficiency is possible, coupled to a simple implementation due to autotuning procedures. But the limitations of these techniques may be reached with strong specifications of very high speed machining. This paper presents new gradual solutions to the cascade control of CNC machines with very severe objectives. First a multirate predictive algorithm, attractive to benefit of the different dynamics of the loops, can be considered as a positive answer to an increase of rapidity, of possible use if a cascade structure is required. The second solution develops, in case of very small sampling periods, a version of GPC using the delta operator instead of the time shift operator, to avoid oversampling and sensitivity to the accuracy of the transfer function coefficients. The possibilities of these two versions are analysed on an experimental benchmark and compared to results obtained with "classical" GPC algorithms.<>
{"title":"New predictive techniques: control axis solutions","authors":"D. Dumur, P. Boucher","doi":"10.1109/CCA.1994.381467","DOIUrl":"https://doi.org/10.1109/CCA.1994.381467","url":null,"abstract":"Improving performances of machine-tools can be achieved with predictive control laws instead of classical PID controllers. Previous studies dealing with generalized predictive control (GPC) have proved that a better efficiency is possible, coupled to a simple implementation due to autotuning procedures. But the limitations of these techniques may be reached with strong specifications of very high speed machining. This paper presents new gradual solutions to the cascade control of CNC machines with very severe objectives. First a multirate predictive algorithm, attractive to benefit of the different dynamics of the loops, can be considered as a positive answer to an increase of rapidity, of possible use if a cascade structure is required. The second solution develops, in case of very small sampling periods, a version of GPC using the delta operator instead of the time shift operator, to avoid oversampling and sensitivity to the accuracy of the transfer function coefficients. The possibilities of these two versions are analysed on an experimental benchmark and compared to results obtained with \"classical\" GPC algorithms.<<ETX>>","PeriodicalId":173370,"journal":{"name":"1994 Proceedings of IEEE International Conference on Control and Applications","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121333326","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}
This paper presents industrial application results of the SISO and MIMO predictive control for some glass working basins and feeders used in the glass containers manufacture. Based on the zone model estimated by the prediction error method, the control actions are computed with GPC algorithm proposed by Clarke et al. The application results, after one year of installation in the feeders and two months in the working basins, show that the new control strategy has the superiority in the rejection of measurable disturbances when there are production changes and machine stoppages as compared with the former process controlled by a industrial (PID type) controller or in manual control.<>
{"title":"An industrial application of predictive control to glass process-working basin and feeder","authors":"Q. Wang, G. Chalaye, G. Thomas, G. Gilles","doi":"10.1109/CCA.1994.381288","DOIUrl":"https://doi.org/10.1109/CCA.1994.381288","url":null,"abstract":"This paper presents industrial application results of the SISO and MIMO predictive control for some glass working basins and feeders used in the glass containers manufacture. Based on the zone model estimated by the prediction error method, the control actions are computed with GPC algorithm proposed by Clarke et al. The application results, after one year of installation in the feeders and two months in the working basins, show that the new control strategy has the superiority in the rejection of measurable disturbances when there are production changes and machine stoppages as compared with the former process controlled by a industrial (PID type) controller or in manual control.<<ETX>>","PeriodicalId":173370,"journal":{"name":"1994 Proceedings of IEEE International Conference on Control and Applications","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121424145","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}
Adaptive systems are useful in many process control applications. Especially neurofuzzy systems are of interest because they may be applicable in safety-critical domains. But to cope with large input numbers, it is necessary to split such systems into a network. Such an approach, the NeuroFuzzy Network (NFN), is outlined. Its use is demonstrated by modeling a biological reactor in order to use a one-step prediction for correcting destroyed measurement values. The training of the NFN is done on-line by exploiting the power of a multiprocessor system. Investigations show the improvements and limitations of parallel processing for on-line learning in adaptive networks.<>
{"title":"Prediction in real-time control using adaptive networks with on-line learning","authors":"W. Brockmann, O. Huwendiek","doi":"10.1109/CCA.1994.381366","DOIUrl":"https://doi.org/10.1109/CCA.1994.381366","url":null,"abstract":"Adaptive systems are useful in many process control applications. Especially neurofuzzy systems are of interest because they may be applicable in safety-critical domains. But to cope with large input numbers, it is necessary to split such systems into a network. Such an approach, the NeuroFuzzy Network (NFN), is outlined. Its use is demonstrated by modeling a biological reactor in order to use a one-step prediction for correcting destroyed measurement values. The training of the NFN is done on-line by exploiting the power of a multiprocessor system. Investigations show the improvements and limitations of parallel processing for on-line learning in adaptive networks.<<ETX>>","PeriodicalId":173370,"journal":{"name":"1994 Proceedings of IEEE International Conference on Control and Applications","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114203929","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}
Acoustic signature analysis is increasingly being used as a tool for online assessing the mechanical integrity of components in the primary circuit of nuclear power plants. During operation, the acoustic signals of loose parts monitoring system sensors are continuously monitored for signal bursts associated with metallic impacts. With the availability of neural networks new powerful tools for classification and diagnosis of burst signals can be realized online. Since signals of same event type can have similar but diverse signal forms according to their random flow-induced excitation, the characterization potential of neural networks has been used for type classification. A backpropagation neural network based on five precalculated signal parameter values has been set up for identification of three different signal types. In a pilot application at a plant, the acoustic burst signals at a steam generator were automatically monitored, classified and trended. The paper presents the successful results of six weeks online signal classification at the plant.<>
{"title":"On-line classification of acoustic burst signals by a neural network application to loose parts monitoring in nuclear power plants","authors":"B. Olma, D. Wach","doi":"10.1109/CCA.1994.381356","DOIUrl":"https://doi.org/10.1109/CCA.1994.381356","url":null,"abstract":"Acoustic signature analysis is increasingly being used as a tool for online assessing the mechanical integrity of components in the primary circuit of nuclear power plants. During operation, the acoustic signals of loose parts monitoring system sensors are continuously monitored for signal bursts associated with metallic impacts. With the availability of neural networks new powerful tools for classification and diagnosis of burst signals can be realized online. Since signals of same event type can have similar but diverse signal forms according to their random flow-induced excitation, the characterization potential of neural networks has been used for type classification. A backpropagation neural network based on five precalculated signal parameter values has been set up for identification of three different signal types. In a pilot application at a plant, the acoustic burst signals at a steam generator were automatically monitored, classified and trended. The paper presents the successful results of six weeks online signal classification at the plant.<<ETX>>","PeriodicalId":173370,"journal":{"name":"1994 Proceedings of IEEE International Conference on Control and Applications","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116489399","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}
State-space controllers are difficult to implement in a distributed control system. Therefore a control design based on the common PID control structure is desirable. This paper presents the /spl mu/-optimal tuning of advanced PID control structures as well as a simple feedforward control design for an industrial binary distillation column. The design is based on an optimization approach. The resulting controllers guarantee stability and a high performance for the entire operating range of the distillation column. A summary of the practical experiences complements the theoretical results.<>
{"title":"/spl mu/-optimal advanced PID control of an industrial high purity distillation column","authors":"H. Musch, M. Steiner","doi":"10.1109/CCA.1994.381453","DOIUrl":"https://doi.org/10.1109/CCA.1994.381453","url":null,"abstract":"State-space controllers are difficult to implement in a distributed control system. Therefore a control design based on the common PID control structure is desirable. This paper presents the /spl mu/-optimal tuning of advanced PID control structures as well as a simple feedforward control design for an industrial binary distillation column. The design is based on an optimization approach. The resulting controllers guarantee stability and a high performance for the entire operating range of the distillation column. A summary of the practical experiences complements the theoretical results.<<ETX>>","PeriodicalId":173370,"journal":{"name":"1994 Proceedings of IEEE International Conference on Control and Applications","volume":" 13","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113947548","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}
A dynamic policy for flow control of flexible manufacturing systems is introduced in the paper. The machines in the system are assumed to be unreliable. In the face of machine failures, the aim of this control method is to minimize the difference between the number of parts produced and the number of parts required at the end of production. The control law is calculated by using successively two linear programs: the first one calculates a lower bound of control law that allows production balancing; the second one maximizes production rates. To take into account machine state changes and to avoid overproduction, the control law is recalculated every time a change in machine state occurs and every time the system reaches the production target of a part type. The proposed method is very easy to use and needs little computation time. Numerical examples show that the proposed method produces good performances when applied to a simulation model of a flexible manufacturing system with failure prone machines.<>
{"title":"A dynamic flow control policy for failure prone flexible manufacturing systems","authors":"J. Long","doi":"10.1109/CCA.1994.381493","DOIUrl":"https://doi.org/10.1109/CCA.1994.381493","url":null,"abstract":"A dynamic policy for flow control of flexible manufacturing systems is introduced in the paper. The machines in the system are assumed to be unreliable. In the face of machine failures, the aim of this control method is to minimize the difference between the number of parts produced and the number of parts required at the end of production. The control law is calculated by using successively two linear programs: the first one calculates a lower bound of control law that allows production balancing; the second one maximizes production rates. To take into account machine state changes and to avoid overproduction, the control law is recalculated every time a change in machine state occurs and every time the system reaches the production target of a part type. The proposed method is very easy to use and needs little computation time. Numerical examples show that the proposed method produces good performances when applied to a simulation model of a flexible manufacturing system with failure prone machines.<<ETX>>","PeriodicalId":173370,"journal":{"name":"1994 Proceedings of IEEE International Conference on Control and Applications","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114868131","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}
This paper considers the application of robust multivariable control, based on /spl Hscr//sup /spl infin// optimization, to the problem of gauge control in a tandem cold rolling mill. The work has been undertaken as part of a collaborative research project between CEGELEC Projects Ltd., Rugby, and the University of Leicester.<>
{"title":"Gauge control in tandem cold rolling mills: a multivariable case study using /spl Hscr//sup /spl infin// optimization","authors":"I. Postlethwaite, J. Geddes","doi":"10.1109/CCA.1994.381485","DOIUrl":"https://doi.org/10.1109/CCA.1994.381485","url":null,"abstract":"This paper considers the application of robust multivariable control, based on /spl Hscr//sup /spl infin// optimization, to the problem of gauge control in a tandem cold rolling mill. The work has been undertaken as part of a collaborative research project between CEGELEC Projects Ltd., Rugby, and the University of Leicester.<<ETX>>","PeriodicalId":173370,"journal":{"name":"1994 Proceedings of IEEE International Conference on Control and Applications","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125702850","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}
This paper aims to utilise a model of the surrounding field together with measured data therefrom to locate and orientate an observer. A single valued solution is developed to calculate the position of a vehicle in a continuous field environment described by a known polynomial, from a minimum number of equispaced field measurements taken at that location and known coefficients of the polynomial. Where insufficient measurements from a single scan of the field are available, a formula for utilising extra data from several scans has been produced. The robustness of these algorithm, when the observation process is corrupted by Gaussian white noise, is also addressed.<>
{"title":"A new technique for tracking the features of a spatially distributed field for automatic guidance","authors":"J. B. Edwards, R. Iqbal","doi":"10.1109/CCA.1994.381414","DOIUrl":"https://doi.org/10.1109/CCA.1994.381414","url":null,"abstract":"This paper aims to utilise a model of the surrounding field together with measured data therefrom to locate and orientate an observer. A single valued solution is developed to calculate the position of a vehicle in a continuous field environment described by a known polynomial, from a minimum number of equispaced field measurements taken at that location and known coefficients of the polynomial. Where insufficient measurements from a single scan of the field are available, a formula for utilising extra data from several scans has been produced. The robustness of these algorithm, when the observation process is corrupted by Gaussian white noise, is also addressed.<<ETX>>","PeriodicalId":173370,"journal":{"name":"1994 Proceedings of IEEE International Conference on Control and Applications","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125706323","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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