Spacecraft dynamics and control: the embedded model control approach
Spacecraft Dynamics and Control: The Embedded Model Control Approach provides a uniform and systematic way of approaching space engineering control problems from the standpoint of model-based control, using state-space equations as the key paradigm for simulation, design and implementation. The book...
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| Weitere beteiligte Personen: | , , , |
| Format: | E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge, MA
Butterworth-Heinemann
[2018]
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| Schriftenreihe: | Aerospace engineering
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| Links: | https://app.knovel.com/hotlink/toc/id:kpSDCTEMC5/spacecraft-dynamics-and?kpromoter=marc |
| Zusammenfassung: | Spacecraft Dynamics and Control: The Embedded Model Control Approach provides a uniform and systematic way of approaching space engineering control problems from the standpoint of model-based control, using state-space equations as the key paradigm for simulation, design and implementation. The book introduces the Embedded Model Control methodology for the design and implementation of attitude and orbit control systems. The logic architecture is organized around the embedded model of the spacecraft and its surrounding environment. The model is compelled to include disturbance dynamics as a repository of the uncertainty that the control law must reject to meet attitude and orbit requirements within the uncertainty class. The source of the real-time uncertainty estimation/prediction is the model error signal, as it encodes the residual discrepancies between spacecraft measurements and model output. The embedded model and the uncertainty estimation feedback (noise estimator in the book) constitute the state predictor feeding the control law. Asymptotic pole placement (exploiting the asymptotes of closed-loop transfer functions) is the way to design and tune feedback loops around the embedded model (state predictor, control law, reference generator). The design versus the uncertainty class is driven by analytic stability and performance inequalities. The method is applied to several attitude and orbit control problems. |
| Umfang: | 1 Online-Ressource |
| ISBN: | 0081017952 9780081017951 |
Internformat
MARC
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| 100 | 1 | |a Canuto, Enrico | |
| 245 | 1 | 0 | |a Spacecraft dynamics and control |b the embedded model control approach |c Enrico Canuto, Carlo Novara, Luca Massotti, Donato Carlucci, Carlos Perez Montenegro |
| 264 | 1 | |a Cambridge, MA |b Butterworth-Heinemann |c [2018] | |
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| 490 | 0 | |a Aerospace engineering | |
| 520 | |a Spacecraft Dynamics and Control: The Embedded Model Control Approach provides a uniform and systematic way of approaching space engineering control problems from the standpoint of model-based control, using state-space equations as the key paradigm for simulation, design and implementation. The book introduces the Embedded Model Control methodology for the design and implementation of attitude and orbit control systems. The logic architecture is organized around the embedded model of the spacecraft and its surrounding environment. The model is compelled to include disturbance dynamics as a repository of the uncertainty that the control law must reject to meet attitude and orbit requirements within the uncertainty class. The source of the real-time uncertainty estimation/prediction is the model error signal, as it encodes the residual discrepancies between spacecraft measurements and model output. The embedded model and the uncertainty estimation feedback (noise estimator in the book) constitute the state predictor feeding the control law. Asymptotic pole placement (exploiting the asymptotes of closed-loop transfer functions) is the way to design and tune feedback loops around the embedded model (state predictor, control law, reference generator). The design versus the uncertainty class is driven by analytic stability and performance inequalities. The method is applied to several attitude and orbit control problems. | ||
| 700 | 1 | |a Carlucci, Donato | |
| 700 | 1 | |a Massotti, Luca | |
| 700 | 1 | |a Montenegro, Carlos Perez | |
| 700 | 1 | |a Novara, Carlo | |
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Datensatz im Suchindex
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| id | ZDB-10-ARA-on1028553070 |
| illustrated | Not Illustrated |
| indexdate | 2025-03-03T13:03:36Z |
| institution | BVB |
| isbn | 0081017952 9780081017951 |
| language | English |
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| physical | 1 Online-Ressource |
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| publishDate | 2018 |
| publishDateSearch | 2018 |
| publishDateSort | 2018 |
| publisher | Butterworth-Heinemann |
| record_format | marc |
| series2 | Aerospace engineering |
| spelling | Canuto, Enrico Spacecraft dynamics and control the embedded model control approach Enrico Canuto, Carlo Novara, Luca Massotti, Donato Carlucci, Carlos Perez Montenegro Cambridge, MA Butterworth-Heinemann [2018] 1 Online-Ressource txt c cr Aerospace engineering Spacecraft Dynamics and Control: The Embedded Model Control Approach provides a uniform and systematic way of approaching space engineering control problems from the standpoint of model-based control, using state-space equations as the key paradigm for simulation, design and implementation. The book introduces the Embedded Model Control methodology for the design and implementation of attitude and orbit control systems. The logic architecture is organized around the embedded model of the spacecraft and its surrounding environment. The model is compelled to include disturbance dynamics as a repository of the uncertainty that the control law must reject to meet attitude and orbit requirements within the uncertainty class. The source of the real-time uncertainty estimation/prediction is the model error signal, as it encodes the residual discrepancies between spacecraft measurements and model output. The embedded model and the uncertainty estimation feedback (noise estimator in the book) constitute the state predictor feeding the control law. Asymptotic pole placement (exploiting the asymptotes of closed-loop transfer functions) is the way to design and tune feedback loops around the embedded model (state predictor, control law, reference generator). The design versus the uncertainty class is driven by analytic stability and performance inequalities. The method is applied to several attitude and orbit control problems. Carlucci, Donato Massotti, Luca Montenegro, Carlos Perez Novara, Carlo Erscheint auch als Druck-Ausgabe 9780081007006 |
| spellingShingle | Canuto, Enrico Spacecraft dynamics and control the embedded model control approach |
| title | Spacecraft dynamics and control the embedded model control approach |
| title_auth | Spacecraft dynamics and control the embedded model control approach |
| title_exact_search | Spacecraft dynamics and control the embedded model control approach |
| title_full | Spacecraft dynamics and control the embedded model control approach Enrico Canuto, Carlo Novara, Luca Massotti, Donato Carlucci, Carlos Perez Montenegro |
| title_fullStr | Spacecraft dynamics and control the embedded model control approach Enrico Canuto, Carlo Novara, Luca Massotti, Donato Carlucci, Carlos Perez Montenegro |
| title_full_unstemmed | Spacecraft dynamics and control the embedded model control approach Enrico Canuto, Carlo Novara, Luca Massotti, Donato Carlucci, Carlos Perez Montenegro |
| title_short | Spacecraft dynamics and control |
| title_sort | spacecraft dynamics and control the embedded model control approach |
| title_sub | the embedded model control approach |
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