عنوان

Spacecraft dynamics and control :

(Number (ISBN

0081017952

(Number (ISBN

9780081017951

Erroneous ISBN

0081007000

Erroneous ISBN

9780081007006

Title Proper

Spacecraft dynamics and control :

General Material Designation

[Book]

Other Title Information

the embedded model control approach /

First Statement of Responsibility

Enrico Canuto, Carlo Novara, Luca Massotti, Donato Carlucci, Carlos Perez Montenegro.

Place of Publication, Distribution, etc.

Cambridge, MA :

Name of Publisher, Distributor, etc.

Butterworth-Heinemann,

Date of Publication, Distribution, etc.

[2018]

Specific Material Designation and Extent of Item

1 online resource

Series Title

Aerospace engineering

Text of Note

Includes bibliographical references and index.

Text of Note

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.

0

Text of Note

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.

Source for Acquisition/Subscription Address

Ingram Content Group

Stock Number

9780081017951

International Standard Book Number

0081007000

Space vehicles-- Control systems.

Space vehicles-- Dynamics.

Space vehicles-- Control systems.

Space vehicles-- Dynamics.

TECHNOLOGY & ENGINEERING-- Engineering (General)

TEC-- 009000

Number

Edition

Class number

Book number

Canuto, Enrico

Carlucci, Donato

Massotti, Luca

Montenegro, Carlos Perez

Novara, Carlo

Date of Transaction

20200822084544.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y