This work deals with the tracking control of nonlinear mechatronic systems with unknown parameters. In the first part of the book an extended robust-adaptive control law and a supervisory control law is proposed for nonlinear mechatronic systems to achieve increased robustness in the presence of large modelling uncertainties. The proposed control laws are applicable to under-actuated mechatronic systems. The second part of the book deals with the friction in mechatronic systems. A general friction model is proposed that describes well the nonlinear behavior of friction and at the same time it can easily be introduced in adaptive control algorithms. A parameter identification method for the developed model is introduced. Based on the model a friction compensation algorithm is developed that guarantees high tracking accuracy in the presence of dominant frictional effects. Finally, an adaptive tracking control algorithm is proposed for robotic systems to solve simultaneously the friction compensation and payload estimation problem. The developed control law can guarantee prescribed tracking accuracy in the presence of unknown friction parameters and payload mass.
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This work deals with the tracking control of nonlinear mechatronic systems with unknown parameters. In the first part of the book an extended robust-adaptive control law and a supervisory control law is proposed for nonlinear mechatronic systems to achieve increased robustness in the presence of large modelling uncertainties. The proposed control laws are applicable to under-actuated mechatronic systems. The second part of the book deals with the friction in mechatronic systems. A general friction model is proposed that describes well the nonlinear behavior of friction and at the same time it can easily be introduced in adaptive control algorithms. A parameter identification method for the developed model is introduced. Based on the model a friction compensation algorithm is developed that guarantees high tracking accuracy in the presence of dominant frictional effects. Finally, an adaptive tracking control algorithm is proposed for robotic systems to solve simultaneously the friction compensation and payload estimation problem. The developed control law can guarantee prescribed tracking accuracy in the presence of unknown friction parameters and payload mass.
The author received the Ph.D. degree from Budapest University of Technology and Economics, Hungary, in 2006. He worked as a Humboldt post-doctoral fellow at Robotics and Mechatronics Center - DLR, Wessling, Germany. Presently, he works as associate professor at Sapientia Hungarian University of Transylvania. More info:www.ms.sapientia.ro/~martonl
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This work deals with the tracking control of nonlinear mechatronic systems with unknown parameters. In the first part of the book an extended robust-adaptive control law and a supervisory control law is proposed for nonlinear mechatronic systems to achieve increased robustness in the presence of large modelling uncertainties. The proposed control laws are applicable to under-actuated mechatronic systems. The second part of the book deals with the friction in mechatronic systems. A general friction model is proposed that describes well the nonlinear behavior of friction and at the same time it can easily be introduced in adaptive control algorithms. A parameter identification method for the developed model is introduced. Based on the model a friction compensation algorithm is developed that guarantees high tracking accuracy in the presence of dominant frictional effects. Finally, an adaptive tracking control algorithm is proposed for robotic systems to solve simultaneously the friction compensation and payload estimation problem. The developed control law can guarantee prescribed tracking accuracy in the presence of unknown friction parameters and payload mass. 164 pp. Englisch. N° de réf. du vendeur 9783659291593
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Taschenbuch. Etat : Neu. Robust-Adaptive Control of NonLinear Mechatronic Systems and Robots | With Applications to Friction Compensation | L¿rinc Márton | Taschenbuch | 164 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783659291593 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 106165067
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This work deals with the tracking control of nonlinear mechatronic systems with unknown parameters. In the first part of the book an extended robust-adaptive control law and a supervisory control law is proposed for nonlinear mechatronic systems to achieve increased robustness in the presence of large modelling uncertainties. The proposed control laws are applicable to under-actuated mechatronic systems. The second part of the book deals with the friction in mechatronic systems. A general friction model is proposed that describes well the nonlinear behavior of friction and at the same time it can easily be introduced in adaptive control algorithms. A parameter identification method for the developed model is introduced. Based on the model a friction compensation algorithm is developed that guarantees high tracking accuracy in the presence of dominant frictional effects. Finally, an adaptive tracking control algorithm is proposed for robotic systems to solve simultaneously the friction compensation and payload estimation problem. The developed control law can guarantee prescribed tracking accuracy in the presence of unknown friction parameters and payload mass.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 164 pp. Englisch. N° de réf. du vendeur 9783659291593
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This work deals with the tracking control of nonlinear mechatronic systems with unknown parameters. In the first part of the book an extended robust-adaptive control law and a supervisory control law is proposed for nonlinear mechatronic systems to achieve increased robustness in the presence of large modelling uncertainties. The proposed control laws are applicable to under-actuated mechatronic systems. The second part of the book deals with the friction in mechatronic systems. A general friction model is proposed that describes well the nonlinear behavior of friction and at the same time it can easily be introduced in adaptive control algorithms. A parameter identification method for the developed model is introduced. Based on the model a friction compensation algorithm is developed that guarantees high tracking accuracy in the presence of dominant frictional effects. Finally, an adaptive tracking control algorithm is proposed for robotic systems to solve simultaneously the friction compensation and payload estimation problem. The developed control law can guarantee prescribed tracking accuracy in the presence of unknown friction parameters and payload mass. N° de réf. du vendeur 9783659291593
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