L. Perez, F. J. Pérez, J. Cerezo, J. Catediano, J. Martín-Sánchez
This article presents the application of the predictive adaptive control system (SCAP) to the control and optimization of the processes in a coal power station. The results obtained, corresponding to a research and development project at the Pasajes de San Juan Power Station, which belongs to the company Iberdrola, demonstrate the suitability of the SCAP application in this field as well as the important benefits that may be derived from its application.<>
本文介绍了预测自适应控制系统(SCAP)在某燃煤电厂过程控制与优化中的应用。根据Iberdrola公司所属的Pasajes de San Juan电站的一个研究和开发项目所获得的结果，证明了SCAP在该领域应用的适用性以及其应用可能带来的重要效益
{"title":"Adaptive predictive control in a thermal power station","authors":"L. Perez, F. J. Pérez, J. Cerezo, J. Catediano, J. Martín-Sánchez","doi":"10.1109/CCA.1994.381377","DOIUrl":"https://doi.org/10.1109/CCA.1994.381377","url":null,"abstract":"This article presents the application of the predictive adaptive control system (SCAP) to the control and optimization of the processes in a coal power station. The results obtained, corresponding to a research and development project at the Pasajes de San Juan Power Station, which belongs to the company Iberdrola, demonstrate the suitability of the SCAP application in this field as well as the important benefits that may be derived from its application.<<ETX>>","PeriodicalId":173370,"journal":{"name":"1994 Proceedings of IEEE International Conference on Control and Applications","volume":"212 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":"116013034","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}
In this paper, an identification of asynchronous machine parameters by a recursive least-squares method with forgetting factor is presented. The authors perform an identification procedure based on stator voltage and current measurements. The authors use band-pass filters to stabilize the identification algorithm. For different time sampling, they have obtained the parameters of a 1.5 kW/4.4 A/380 V asynchronous machine. The obtained performances show that this procedure can be used for an on-line identification in the indirect vector control of the asynchronous machine.<>
提出了一种带遗忘因子的递推最小二乘法辨识异步电机参数的方法。作者执行了一个基于定子电压和电流测量的识别程序。作者使用带通滤波器来稳定识别算法。通过不同时间的采样，得到了一台1.5 kW/4.4 a / 380v异步电机的参数。实验结果表明，该方法可用于异步电机间接矢量控制的在线辨识。
{"title":"Identification of asynchronous machine parameters by a recursive least-squares method","authors":"H. Guesbaoui, O. Touhami, C. Iung","doi":"10.1109/CCA.1994.381382","DOIUrl":"https://doi.org/10.1109/CCA.1994.381382","url":null,"abstract":"In this paper, an identification of asynchronous machine parameters by a recursive least-squares method with forgetting factor is presented. The authors perform an identification procedure based on stator voltage and current measurements. The authors use band-pass filters to stabilize the identification algorithm. For different time sampling, they have obtained the parameters of a 1.5 kW/4.4 A/380 V asynchronous machine. The obtained performances show that this procedure can be used for an on-line identification in the indirect vector control of the asynchronous machine.<<ETX>>","PeriodicalId":173370,"journal":{"name":"1994 Proceedings of IEEE International Conference on Control and Applications","volume":"39 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":"122384909","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}
Laminated windshield bending furnaces have always been controlled manually. Previously, several attempts of automatic control have been tried unsuccessfully. This is essentially due to the fact that this kind of plants is a strongly coupled multivariable system, with nonlinearities and a large time delay. An other serious problem of the furnace to be controlled is the fact that it produces successively and periodically different types of windshields. So the plant is a time-varying system with periodic coefficients and disturbances. In this paper, an adequate combination of modern automatic control techniques, such as predictive control, the internal model of Morari and Smith predictor, have been used to obtain an original and efficient controller scheme for periodic plants. It has been tested on a real plant and has given satisfaction. An increase of the bending precision from 30% to 100% relatively to the manual control has been obtained.<>
{"title":"A multivariable predictive control with internal model of a laminated windshield bending furnace","authors":"J. Daoudi, E. Irving, N. Pons","doi":"10.1109/CCA.1994.381287","DOIUrl":"https://doi.org/10.1109/CCA.1994.381287","url":null,"abstract":"Laminated windshield bending furnaces have always been controlled manually. Previously, several attempts of automatic control have been tried unsuccessfully. This is essentially due to the fact that this kind of plants is a strongly coupled multivariable system, with nonlinearities and a large time delay. An other serious problem of the furnace to be controlled is the fact that it produces successively and periodically different types of windshields. So the plant is a time-varying system with periodic coefficients and disturbances. In this paper, an adequate combination of modern automatic control techniques, such as predictive control, the internal model of Morari and Smith predictor, have been used to obtain an original and efficient controller scheme for periodic plants. It has been tested on a real plant and has given satisfaction. An increase of the bending precision from 30% to 100% relatively to the manual control has been obtained.<<ETX>>","PeriodicalId":173370,"journal":{"name":"1994 Proceedings of IEEE International Conference on Control and Applications","volume":"75 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":"127218928","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}
H. Mashaly, A. Sharaf, A. A. El-Sattar, M. Mansour
The paper presents the implementation and laboratory testing of a novel fuzzy logic controller (FLC) for an induction generator-electric utility DC link interface scheme. The purpose of the FLC controller is to maximize the wind energy utilization to the electric utility grid. The dynamic performance of the proposed controller is demonstrated, experimentally using a digital computer as the fuzzy logic controller and a prototype laboratory wind energy DC link current source interface scheme.<>
{"title":"A fuzzy logic controller for wind energy utilization","authors":"H. Mashaly, A. Sharaf, A. A. El-Sattar, M. Mansour","doi":"10.1109/CCA.1994.381195","DOIUrl":"https://doi.org/10.1109/CCA.1994.381195","url":null,"abstract":"The paper presents the implementation and laboratory testing of a novel fuzzy logic controller (FLC) for an induction generator-electric utility DC link interface scheme. The purpose of the FLC controller is to maximize the wind energy utilization to the electric utility grid. The dynamic performance of the proposed controller is demonstrated, experimentally using a digital computer as the fuzzy logic controller and a prototype laboratory wind energy DC link current source interface scheme.<<ETX>>","PeriodicalId":173370,"journal":{"name":"1994 Proceedings of IEEE International Conference on Control and Applications","volume":"9 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":"127808148","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 design of a decentralized adaptive controller for a water distribution system. This system consists of a 40-kilometer long canal connected to three secondary canals and four main reservoirs supplied by a 7 m/sup 3/ s/sup -1/ river (the Bourne river). More than 20 pumping stations are distributed along the canals, bringing water to the agricultural plain of Valence (South-East of France). The system is currently manually operated through flow control gates. The author's medium-term objective is to automatically operate this system and to improve water distribution efficiency and safety. In terms of control the primary goal is to satisfy the water demand at each pumping station, while guaranteeing a minimum water level, overflow avoidance and minimum wastes of water, in each section and reservoir of the system. The author's approach is divided into two main stages. An on-line identification procedure based both on a multi-input multi-output parametrized model and Kalman filtering. A state-space predictive control scheme using a Kalman state estimator defined on the basis of the on-line identified model. The author shows how this control scheme can be decentralized in case of large-scale water distribution systems, such as the author's process.<>
{"title":"Decentralized adaptive control for a water distribution system","authors":"Didier Georges","doi":"10.1109/CCA.1994.381318","DOIUrl":"https://doi.org/10.1109/CCA.1994.381318","url":null,"abstract":"This paper considers the design of a decentralized adaptive controller for a water distribution system. This system consists of a 40-kilometer long canal connected to three secondary canals and four main reservoirs supplied by a 7 m/sup 3/ s/sup -1/ river (the Bourne river). More than 20 pumping stations are distributed along the canals, bringing water to the agricultural plain of Valence (South-East of France). The system is currently manually operated through flow control gates. The author's medium-term objective is to automatically operate this system and to improve water distribution efficiency and safety. In terms of control the primary goal is to satisfy the water demand at each pumping station, while guaranteeing a minimum water level, overflow avoidance and minimum wastes of water, in each section and reservoir of the system. The author's approach is divided into two main stages. An on-line identification procedure based both on a multi-input multi-output parametrized model and Kalman filtering. A state-space predictive control scheme using a Kalman state estimator defined on the basis of the on-line identified model. The author shows how this control scheme can be decentralized in case of large-scale water distribution systems, such as the author's process.<<ETX>>","PeriodicalId":173370,"journal":{"name":"1994 Proceedings of IEEE International Conference on Control and Applications","volume":"16 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":"129088408","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 scanning tunnelling microscope (STM) can be used either for qualitative microscopy or for lithography. Furthermore, this microscope is a high precision instrument sensitive to disturbances originating from sound waves, vibrations and temperature variations. The quality of mechanical design is paramount for the scanning tunnelling microscopy technology. It is however not only the quality of mechanical design which defines the STM's operational reliability, it is also the quality of the STM's control system, as practical experience indicates. In this paper, attention is focused on improving the STM's control system.<>
{"title":"On the control of scanning tunnelling microscopes","authors":"R. Banning, P.M.L.O. Sholte, A. E. Holman","doi":"10.1109/CCA.1994.381298","DOIUrl":"https://doi.org/10.1109/CCA.1994.381298","url":null,"abstract":"The scanning tunnelling microscope (STM) can be used either for qualitative microscopy or for lithography. Furthermore, this microscope is a high precision instrument sensitive to disturbances originating from sound waves, vibrations and temperature variations. The quality of mechanical design is paramount for the scanning tunnelling microscopy technology. It is however not only the quality of mechanical design which defines the STM's operational reliability, it is also the quality of the STM's control system, as practical experience indicates. In this paper, attention is focused on improving the STM's control system.<<ETX>>","PeriodicalId":173370,"journal":{"name":"1994 Proceedings of IEEE International Conference on Control and Applications","volume":"18 1 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":"131091305","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}
Piecewise linear systems play an important role in nonlinear system modelling, but can be difficult to manage when it comes to analysing the system. This paper presents a compact, efficient algebraic description for a piecewise linear system and describes a method whereby a standard commercial graphical tool (SIMULINK) used for building and simulating systems can be exploited to generate the piecewise linear algebraic system description in a simple and quick manner.<>
{"title":"Representing piecewise linear systems for analysis and simulation","authors":"V. Besson, N. Pettit, P. Wellstead","doi":"10.1109/CCA.1994.381259","DOIUrl":"https://doi.org/10.1109/CCA.1994.381259","url":null,"abstract":"Piecewise linear systems play an important role in nonlinear system modelling, but can be difficult to manage when it comes to analysing the system. This paper presents a compact, efficient algebraic description for a piecewise linear system and describes a method whereby a standard commercial graphical tool (SIMULINK) used for building and simulating systems can be exploited to generate the piecewise linear algebraic system description in a simple and quick manner.<<ETX>>","PeriodicalId":173370,"journal":{"name":"1994 Proceedings of IEEE International Conference on Control and Applications","volume":"39 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":"132935228","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 investigates the practical stability of a simple and yet robust control technique, whose design is based upon disturbance attenuation plus stabilisation. In particular, it considers the problems associated with the implementation of this controller in discrete-time form. The approach is illustrated with practical results taken from a GMF S-360 industrial manipulator.<>
{"title":"Stability issues in a disturbance attenuation based technique for manipulator control","authors":"I. Sillitoe, S. Szumko, H. Kreidie","doi":"10.1109/CCA.1994.381422","DOIUrl":"https://doi.org/10.1109/CCA.1994.381422","url":null,"abstract":"This paper investigates the practical stability of a simple and yet robust control technique, whose design is based upon disturbance attenuation plus stabilisation. In particular, it considers the problems associated with the implementation of this controller in discrete-time form. The approach is illustrated with practical results taken from a GMF S-360 industrial manipulator.<<ETX>>","PeriodicalId":173370,"journal":{"name":"1994 Proceedings of IEEE International Conference on Control and Applications","volume":"59 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113936709","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 neural-net-based model-free self-tuning controller for systems with unknown models or some modeling complexity is proposed in this paper. To enhance the on-line self-learning and adaptive abilities, an attenuating excitation signal is introduced to excite all modes of the systems and to produce the error signal needed for self-learning process. To realize the self-organized learning and control, a function evaluating the control effect is introduced to decide whether the on-line operational data can be chosen as the learning samples to train the controller, and how to train. The experiment results for the temperature control problem of some resistance furnaces show the effectiveness of the method.<>
{"title":"Neural-net-based model-free self-tuning controller with on-line self-learning ability for industrial furnace","authors":"Mingwang Zhao","doi":"10.1109/CCA.1994.381409","DOIUrl":"https://doi.org/10.1109/CCA.1994.381409","url":null,"abstract":"A neural-net-based model-free self-tuning controller for systems with unknown models or some modeling complexity is proposed in this paper. To enhance the on-line self-learning and adaptive abilities, an attenuating excitation signal is introduced to excite all modes of the systems and to produce the error signal needed for self-learning process. To realize the self-organized learning and control, a function evaluating the control effect is introduced to decide whether the on-line operational data can be chosen as the learning samples to train the controller, and how to train. The experiment results for the temperature control problem of some resistance furnaces show the effectiveness of the method.<<ETX>>","PeriodicalId":173370,"journal":{"name":"1994 Proceedings of IEEE International Conference on Control and Applications","volume":"1 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":"122942283","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 describes how a neural network, structured as a multi layer perceptron, is trained to predict, simulate and control a non-linear process. The identified model is the well-known known innovation state space model, and the identification is based only on input/output measurements, so in fact the extended Kalman filter problem is solved. The training method is the recursive prediction error method using a Gauss-Newton search direction, known from linear system identification theory. Finally, the model and training methods are tested on a noisy, strongly non-linear, dynamic process, showing excellent results for the trained net to act as an actual system identifier, predictor and simulator. Further, the trained net allows actual on-line extraction of the parameter matrices of the model giving a basis for better control of the non-linear process.<>
{"title":"Neural networks for non-linear control","authors":"O. Sørensen","doi":"10.1109/CCA.1994.381233","DOIUrl":"https://doi.org/10.1109/CCA.1994.381233","url":null,"abstract":"This paper describes how a neural network, structured as a multi layer perceptron, is trained to predict, simulate and control a non-linear process. The identified model is the well-known known innovation state space model, and the identification is based only on input/output measurements, so in fact the extended Kalman filter problem is solved. The training method is the recursive prediction error method using a Gauss-Newton search direction, known from linear system identification theory. Finally, the model and training methods are tested on a noisy, strongly non-linear, dynamic process, showing excellent results for the trained net to act as an actual system identifier, predictor and simulator. Further, the trained net allows actual on-line extraction of the parameter matrices of the model giving a basis for better control of the non-linear process.<<ETX>>","PeriodicalId":173370,"journal":{"name":"1994 Proceedings of IEEE International Conference on Control and Applications","volume":"110 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":"123053589","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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