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.
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