LPV Modeling, Identification and Fault Tolerant Control: Application to a Two-Degree of Freedom Helicopter - Softcover
Synopsis
This book presents the LPV (Linear Parameter Varying) modeling, identification and control with fault tolerance mechanisms of a Twin Rotor MIMO System (TRMS). The non-linear model of the TRMS is transformed into a quasi-LPV model and then approximated in a polytopic way. The model parameters are calibrated by means of a non-linear least-square identification approach. Once the calibrated model is obtained, a simulator is built and validated against real data. Using the LPV Linear Matrix Inequalities (LMI) pole placement approach, an LPV observer and an LPV controller are designed and tested both in simulation and on the real system in order to prove its effectiveness and performance. Finally, a Fault Tolerant Control (FTC) strategy using virtual sensors and virtual actuators is applied in an LPV way. In order to implement these approaches, fault estimation is required. To this aim, a method to identify the faults is implemented formulating a parameter estimation problem. The methodology is tested both in simulation and on the real system, showing its effectiveness and its limits.
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About the Author
Damiano Rotondo received the B.S. degree (cum laude) in computer engineering from the Second University of Naples, Italy, in 2008. He also received the M.S. degree (cum laude) in control engineering from the University of Pisa, Italy, in 2011. Since 2011, he is a Ph.D. student at the Polytechnic University of Catalonia (UPC - BarcelonaTech).
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LPV Modeling, Identification and Fault Tolerant Control: Application to a Two-Degree of Freedom Helicopter
Published by
Edizioni Accademiche Italiane, 2014
ISBN 10: 363972979X
ISBN 13: 9783639729795
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LPV Modeling, Identification and Fault Tolerant Control
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Edizioni Accademiche Italiane Mrz 2014, 2014
ISBN 10: 363972979X
ISBN 13: 9783639729795
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents the LPV (Linear Parameter Varying) modeling, identification and control with fault tolerance mechanisms of a Twin Rotor MIMO System (TRMS). The non-linear model of the TRMS is transformed into a quasi-LPV model and then approximated in a polytopic way. The model parameters are calibrated by means of a non-linear least-square identification approach. Once the calibrated model is obtained, a simulator is built and validated against real data. Using the LPV Linear Matrix Inequalities (LMI) pole placement approach, an LPV observer and an LPV controller are designed and tested both in simulation and on the real system in order to prove its effectiveness and performance. Finally, a Fault Tolerant Control (FTC) strategy using virtual sensors and virtual actuators is applied in an LPV way. In order to implement these approaches, fault estimation is required. To this aim, a method to identify the faults is implemented formulating a parameter estimation problem. The methodology is tested both in simulation and on the real system, showing its effectiveness and its limits. 232 pp. Englisch. Seller Inventory # 9783639729795
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LPV Modeling, Identification and Fault Tolerant Control
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ISBN 13: 9783639729795
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rotondo DamianoDamiano Rotondo received the B.S. degree (cum laude) in computer engineering from the Second University of Naples, Italy, in 2008. He also received the M.S. degree (cum laude) in control engineering from the University. Seller Inventory # 5000458
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LPV Modeling, Identification and Fault Tolerant Control
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents the LPV (Linear Parameter Varying) modeling, identification and control with fault tolerance mechanisms of a Twin Rotor MIMO System (TRMS). The non-linear model of the TRMS is transformed into a quasi-LPV model and then approximated in a polytopic way. The model parameters are calibrated by means of a non-linear least-square identification approach. Once the calibrated model is obtained, a simulator is built and validated against real data. Using the LPV Linear Matrix Inequalities (LMI) pole placement approach, an LPV observer and an LPV controller are designed and tested both in simulation and on the real system in order to prove its effectiveness and performance. Finally, a Fault Tolerant Control (FTC) strategy using virtual sensors and virtual actuators is applied in an LPV way. In order to implement these approaches, fault estimation is required. To this aim, a method to identify the faults is implemented formulating a parameter estimation problem. The methodology is tested both in simulation and on the real system, showing its effectiveness and its limits.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 232 pp. Englisch. Seller Inventory # 9783639729795
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LPV Modeling, Identification and Fault Tolerant Control | Application to a Two-Degree of Freedom Helicopter
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Taschenbuch. Condition: Neu. LPV Modeling, Identification and Fault Tolerant Control | Application to a Two-Degree of Freedom Helicopter | Damiano Rotondo | Taschenbuch | 232 S. | Englisch | 2014 | Edizioni Accademiche Italiane | EAN 9783639729795 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 105355269
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LPV Modeling, Identification and Fault Tolerant Control : Application to a Two-Degree of Freedom Helicopter
Published by
Edizioni Accademiche Italiane, 2014
ISBN 10: 363972979X
ISBN 13: 9783639729795
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Taschenbuch
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents the LPV (Linear Parameter Varying) modeling, identification and control with fault tolerance mechanisms of a Twin Rotor MIMO System (TRMS). The non-linear model of the TRMS is transformed into a quasi-LPV model and then approximated in a polytopic way. The model parameters are calibrated by means of a non-linear least-square identification approach. Once the calibrated model is obtained, a simulator is built and validated against real data. Using the LPV Linear Matrix Inequalities (LMI) pole placement approach, an LPV observer and an LPV controller are designed and tested both in simulation and on the real system in order to prove its effectiveness and performance. Finally, a Fault Tolerant Control (FTC) strategy using virtual sensors and virtual actuators is applied in an LPV way. In order to implement these approaches, fault estimation is required. To this aim, a method to identify the faults is implemented formulating a parameter estimation problem. The methodology is tested both in simulation and on the real system, showing its effectiveness and its limits. Seller Inventory # 9783639729795