A Nonlinear Model Predictive Controller (NMPC) for trajectory tracking of surface vessels which takes care of input saturation is designed based on a 3DOF dynamic model. NMPC calculates the future control inputs (propeller speed and rudder angle of the vessel) based on the present state variables by optimizing a cost function. The cost function incorporates input constraints as well as state errors in determining the control inputs is exploited. The identification tests are performed in an outdoor pool on a robotic boat which has an onboard PC104 computer and a navigation sensor. The data from experiments are used to determine the six model parameters. A NMPC is designed based on the identified model to track a sine wave. The performance of the controller is demonstrated through simulations via MATLABs Simulink program and tested on a real robotic boat. The experimental results show for input saturation case the control inputs remain within the saturation limits in extreme maneuvers, the vessel recovers from saturation, and the vessel follows the trajectory very closely when the inputs are not saturated.
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A Nonlinear Model Predictive Controller (NMPC) for trajectory tracking of surface vessels which takes care of input saturation is designed based on a 3DOF dynamic model. NMPC calculates the future control inputs (propeller speed and rudder angle of the vessel) based on the present state variables by optimizing a cost function. The cost function incorporates input constraints as well as state errors in determining the control inputs is exploited. The identification tests are performed in an outdoor pool on a robotic boat which has an onboard PC104 computer and a navigation sensor. The data from experiments are used to determine the six model parameters. A NMPC is designed based on the identified model to track a sine wave. The performance of the controller is demonstrated through simulations via MATLABs Simulink program and tested on a real robotic boat. The experimental results show for input saturation case the control inputs remain within the saturation limits in extreme maneuvers, the vessel recovers from saturation, and the vessel follows the trajectory very closely when the inputs are not saturated.
Yaswanth Siramdasu has graduated with a master degree from the University of Alabama in Huntsville in 2012. He is currently a Ph.D student at Virginia Tech working in Center for Tire Research (CenTiRe). His research interests are vehicle dynamics and chassis control systems.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A Nonlinear Model Predictive Controller (NMPC) for trajectory tracking of surface vessels which takes care of input saturation is designed based on a 3DOF dynamic model. NMPC calculates the future control inputs (propeller speed and rudder angle of the vessel) based on the present state variables by optimizing a cost function. The cost function incorporates input constraints as well as state errors in determining the control inputs is exploited. The identification tests are performed in an outdoor pool on a robotic boat which has an onboard PC104 computer and a navigation sensor. The data from experiments are used to determine the six model parameters. A NMPC is designed based on the identified model to track a sine wave. The performance of the controller is demonstrated through simulations via MATLABs Simulink program and tested on a real robotic boat. The experimental results show for input saturation case the control inputs remain within the saturation limits in extreme maneuvers, the vessel recovers from saturation, and the vessel follows the trajectory very closely when the inputs are not saturated. 108 pp. Englisch. N° de réf. du vendeur 9783659707520
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Siramdasu YaswanthYaswanth Siramdasu has graduated with a master degree from the University of Alabama in Huntsville in 2012. He is currently a Ph.D student at Virginia Tech working in Center for Tire Research (CenTiRe). His research. N° de réf. du vendeur 159143982
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -A Nonlinear Model Predictive Controller (NMPC) for trajectory tracking of surface vessels which takes care of input saturation is designed based on a 3DOF dynamic model. NMPC calculates the future control inputs (propeller speed and rudder angle of the vessel) based on the present state variables by optimizing a cost function. The cost function incorporates input constraints as well as state errors in determining the control inputs is exploited. The identification tests are performed in an outdoor pool on a robotic boat which has an onboard PC104 computer and a navigation sensor. The data from experiments are used to determine the six model parameters. A NMPC is designed based on the identified model to track a sine wave. The performance of the controller is demonstrated through simulations via MATLABs Simulink program and tested on a real robotic boat. The experimental results show for input saturation case the control inputs remain within the saturation limits in extreme maneuvers, the vessel recovers from saturation, and the vessel follows the trajectory very closely when the inputs are not saturated.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Englisch. N° de réf. du vendeur 9783659707520
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Taschenbuch. Etat : Neu. Incorporating Input Saturation For Underactuated Surface Vessel Trajec | Yaswanth Siramdasu | Taschenbuch | 108 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659707520 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 104661895
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A Nonlinear Model Predictive Controller (NMPC) for trajectory tracking of surface vessels which takes care of input saturation is designed based on a 3DOF dynamic model. NMPC calculates the future control inputs (propeller speed and rudder angle of the vessel) based on the present state variables by optimizing a cost function. The cost function incorporates input constraints as well as state errors in determining the control inputs is exploited. The identification tests are performed in an outdoor pool on a robotic boat which has an onboard PC104 computer and a navigation sensor. The data from experiments are used to determine the six model parameters. A NMPC is designed based on the identified model to track a sine wave. The performance of the controller is demonstrated through simulations via MATLABs Simulink program and tested on a real robotic boat. The experimental results show for input saturation case the control inputs remain within the saturation limits in extreme maneuvers, the vessel recovers from saturation, and the vessel follows the trajectory very closely when the inputs are not saturated. N° de réf. du vendeur 9783659707520
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