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. The book begins with an extensive introduction to attitude geometry and algebra and ends with the core themes: state-space dynamics and Embedded Model Control Fundamentals of orbit, attitude and environment dynamics are treated giving emphasis to state-space formulation, disturbance dynamics, state feedback and prediction, closed-loop stability Sensors and actuators are treated giving emphasis to their dynamics and modelling of measurement errors. Numerical tables are included and their data employed for numerical simulations Orbit and attitude control problems of the European GOCE mission are the inspiration of numerical exercises and simulations The suite of the attitude control modes of a GOCE-like mission is designed and simulated around the so-called mission state predictor Solved and unsolved exercises are included within the text - and not separated at the end of chapters - for better understanding, training and application Simulated results and their graphical plots are developed through MATLAB/Simulink code
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. The book begins with an extensive introduction to attitude geometry and algebra and ends with the core themes: state-space dynamics and Embedded Model Control Fundamentals of orbit, attitude and environment dynamics are treated giving emphasis to state-space formulation, disturbance dynamics, state feedback and prediction, closed-loop stability Sensors and actuators are treated giving emphasis to their dynamics and modelling of measurement errors. Numerical tables are included and their data employed for numerical simulations Orbit and attitude control problems of the European GOCE mission are the inspiration of numerical exercises and simulations The suite of the attitude control modes of a GOCE-like mission is designed and simulated around the so-called mission state predictor Solved and unsolved exercises are included within the text - and not separated at the end of chapters - for better understanding, training and application Simulated results and their graphical plots are developed through MATLAB/Simulink code
On part en montagne pour éprouver la solitude, pour se sentir minuscule face à l’immensité de la nature. Nombreux sont les imprévus qui peuvent se présenter, d’une rencontre avec un cerf au franchissement d’une forêt déracinée par le vent. Sur un sentier escarpé des Dolomites, un homme chute dans le vide. Derrière lui, un autre homme donne l’alerte. Or, ce ne sont pas des inconnus. Compagnons du même groupe révolutionnaire quarante ans plus tôt, le premier avait livré le second et tous ses anciens camarades à la police. Rencontre improbable, impossible coïncidence surtout, pour le magistrat chargé de l’affaire, qui tente de faire avouer au suspect un meurtre prémédité. Dans un roman d’une grande tension, Erri De Luca reconstitue l’échange entre un jeune juge et un accusé, vieil homme 'de la génération la plus poursuivie en justice de l’histoire d’Italie'. Mais l’interrogatoire se mue lentement en un dialogue et se dessine alors une riche réflexion sur l’engagement, la justice, l’amitié et la trahison.
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.