This work presents an associative datafield structure that has been developed for automotive control applications by the Institute of Control Engineering, Department of Control Systems Theory and Robotics at the Technical University of Darmstadt and the Robert Bosch GmbH. In contrast to the state-of-the-art lattice-like datafields, the new system permits the modelling of multidimensional nonlinear process and/or controller characteristics with respect to computational performance and storage capacity provided by automotive control units. Furthermore, the associative datafield allows the compensation of wear and tear and manufacturing tolerances by learning, i.e. online adaptation of its contents. The paper describes the principles of the associative datafield and different update algorithms. Results of simulations using realistic data from car engines are discussed.<>
{"title":"Associative datafields in automotive control","authors":"M. Schmitt, T. Ullrich, H. Tolle","doi":"10.1109/CCA.1994.381339","DOIUrl":"https://doi.org/10.1109/CCA.1994.381339","url":null,"abstract":"This work presents an associative datafield structure that has been developed for automotive control applications by the Institute of Control Engineering, Department of Control Systems Theory and Robotics at the Technical University of Darmstadt and the Robert Bosch GmbH. In contrast to the state-of-the-art lattice-like datafields, the new system permits the modelling of multidimensional nonlinear process and/or controller characteristics with respect to computational performance and storage capacity provided by automotive control units. Furthermore, the associative datafield allows the compensation of wear and tear and manufacturing tolerances by learning, i.e. online adaptation of its contents. The paper describes the principles of the associative datafield and different update algorithms. Results of simulations using realistic data from car engines are discussed.<<ETX>>","PeriodicalId":173370,"journal":{"name":"1994 Proceedings of IEEE International Conference on Control and Applications","volume":"11 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":"125575948","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}
Multi-axis test facilities are usually used in industry to perform vibration tests. This paper proposes a new field of application for such systems. Based on detailed model equations of a rigid body in space an identification strategy is derived, which experimentally identifies the ten rigid body inertia parameters of the loaded or unloaded test table in only one test run.<>
{"title":"Inertia parameter identification of rigid bodies using a multi-axis test facility","authors":"H. Hahn, Klaus-Dieter Leimbach, A. Piepenbrink","doi":"10.1109/CCA.1994.381294","DOIUrl":"https://doi.org/10.1109/CCA.1994.381294","url":null,"abstract":"Multi-axis test facilities are usually used in industry to perform vibration tests. This paper proposes a new field of application for such systems. Based on detailed model equations of a rigid body in space an identification strategy is derived, which experimentally identifies the ten rigid body inertia parameters of the loaded or unloaded test table in only one test run.<<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":"114317399","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 linear matrix inequality framework for robust state-feedback design is presented in this paper. In this framework, practical design constraints concerning (e.g. settling time or actuator effort) are directly taken into account. To illustrate the methodology, a coupled spring-mass benchmark problem is solved.<>
{"title":"State-feedback design via linear matrix inequalities: application to a benchmark problem","authors":"J. Folcher, L. El Ghaoui","doi":"10.1109/CCA.1994.381342","DOIUrl":"https://doi.org/10.1109/CCA.1994.381342","url":null,"abstract":"A linear matrix inequality framework for robust state-feedback design is presented in this paper. In this framework, practical design constraints concerning (e.g. settling time or actuator effort) are directly taken into account. To illustrate the methodology, a coupled spring-mass benchmark problem is solved.<<ETX>>","PeriodicalId":173370,"journal":{"name":"1994 Proceedings of IEEE International Conference on Control and Applications","volume":"33 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":"114425009","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 ship operations the consequences of roll motions can seriously degrade the performance of mechanical and personnel effectiveness. Stabilising fins are used to alleviate these problems. Rudders, which have been extensively modified, have been used exclusively to stabilise roll. This paper examines the H/sub /spl infin// and /spl mu/-synthesis technique to design controllers for existing fin and rudders.<>
{"title":"Robust fin/rudder ship roll stabilisation","authors":"M. T. Sharif, G. Roberts, R. Sutton","doi":"10.1109/CCA.1994.381360","DOIUrl":"https://doi.org/10.1109/CCA.1994.381360","url":null,"abstract":"In ship operations the consequences of roll motions can seriously degrade the performance of mechanical and personnel effectiveness. Stabilising fins are used to alleviate these problems. Rudders, which have been extensively modified, have been used exclusively to stabilise roll. This paper examines the H/sub /spl infin// and /spl mu/-synthesis technique to design controllers for existing fin and rudders.<<ETX>>","PeriodicalId":173370,"journal":{"name":"1994 Proceedings of IEEE International Conference on Control and Applications","volume":"83 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":"125756345","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}
The Gemini 8 m telescope is modeled as a three body rigid structure. Structural dynamics are analyzed for three different pier designs in order to establish the effect of the pier mass on pointing control system performance. It is found that, for this model, the effect of pier parameters is not significant.<>
{"title":"Gemini 8 m telescopes-structural simulation and wind loading study","authors":"M. Davies, S. Hutton, R. Mcgonegal","doi":"10.1109/CCA.1994.381200","DOIUrl":"https://doi.org/10.1109/CCA.1994.381200","url":null,"abstract":"The Gemini 8 m telescope is modeled as a three body rigid structure. Structural dynamics are analyzed for three different pier designs in order to establish the effect of the pier mass on pointing control system performance. It is found that, for this model, the effect of pier parameters is not significant.<<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":"130162403","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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