Cargando…

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...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Canuto, Enrico (Autor), Novara, Carlo (Autor), Massotti, Luca (Autor), Carlucci, Donato (Autor), Montenegro, Carlos Perez (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge, MA : Butterworth-Heinemann, [2018]
Colección:Aerospace engineering
Temas:
Acceso en línea:Texto completo

MARC

LEADER 00000cam a2200000 i 4500
001 SCIDIR_on1028553070
003 OCoLC
005 20231120010248.0
006 m o d
007 cr cnu|||unuuu
008 180313s2018 mau ob 001 0 eng d
040 |a N$T  |b eng  |e rda  |e pn  |c N$T  |d N$T  |d YDX  |d NLE  |d COO  |d OPELS  |d OCLCF  |d STF  |d MERER  |d D6H  |d QCL  |d OCLCQ  |d UAB  |d SNM  |d UPM  |d OCLCQ  |d U3W  |d LVT  |d KNOVL  |d CEF  |d VLB  |d UKAHL  |d UKMGB  |d S2H  |d OCLCO  |d OCLCQ  |d OCLCO  |d K6U  |d OCLCQ  |d SFB  |d OCLCQ  |d OCLCO 
015 |a GBB7L2601  |2 bnb 
016 7 |a 018592516  |2 Uk 
019 |a 1028781302  |a 1028891143  |a 1028949262  |a 1028971234  |a 1029005548  |a 1029209361 
020 |a 9780081017951  |q (electronic bk.) 
020 |a 0081017952  |q (electronic bk.) 
020 |z 9780081007006 
020 |z 0081007000 
035 |a (OCoLC)1028553070  |z (OCoLC)1028781302  |z (OCoLC)1028891143  |z (OCoLC)1028949262  |z (OCoLC)1028971234  |z (OCoLC)1029005548  |z (OCoLC)1029209361 
050 4 |a TL1050  |b .C36 2018eb 
072 7 |a TEC  |x 009000  |2 bisacsh 
082 0 4 |a 629.411  |2 23 
100 1 |a Canuto, Enrico,  |e author. 
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] 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 0 |a Aerospace engineering 
504 |a Includes bibliographical references and index. 
588 0 |a Online resource; title from PDF title page (EBSCO, viewed March 15, 2018). 
505 0 |a 1. Introduction; 2. Attitude Representation; 3. Orbital Dynamics; 4. The Environment: Perturbing Forces and Torques; 5. Perturbed Orbital Dynamics; 6. Attitude Kinematics: Modeling and Feedback; 7. Attitude Dynamics: Modeling and Control; 8. Orbit and Attitude Sensors; 9. Orbit and Attitude Actuators; 10. Attitude Determination; 11. Orbital Control and Prediction Problems; 12. Attitude Control: A Case Study; 13. Introduction to Dynamic Systems; 14. Introduction to Embedded Model Control; Index. 
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. 
650 0 |a Space vehicles  |x Dynamics. 
650 0 |a Space vehicles  |x Control systems. 
650 6 |a V�ehicules spatiaux  |x Dynamique.  |0 (CaQQLa)201-0259619 
650 6 |a V�ehicules spatiaux  |x Syst�emes de commande.  |0 (CaQQLa)201-0018819 
650 7 |a TECHNOLOGY & ENGINEERING  |x Engineering (General)  |2 bisacsh 
650 7 |a Space vehicles  |x Control systems  |2 fast  |0 (OCoLC)fst01127983 
650 7 |a Space vehicles  |x Dynamics  |2 fast  |0 (OCoLC)fst01127998 
700 1 |a Novara, Carlo,  |e author. 
700 1 |a Massotti, Luca,  |e author. 
700 1 |a Carlucci, Donato,  |e author. 
700 1 |a Montenegro, Carlos Perez,  |e author. 
776 0 8 |i Print version:  |z 9780081007006  |z 0081007000  |w (OCoLC)992433770 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780081007006  |z Texto completo