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Control Propellant Minimization for the Next Generation Gravity Mission Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Dynamic System Control Dispatch: A Global Optimization Approach

Author : Giorgio Fasano

Published in: Modeling and Optimization in Space Engineering

Publisher: Springer International Publishing

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Abstract

This work originates from research related to an optimal control dispatch problem in space: the problem in question is presented in detail in another chapter of this volume by Anselmi et al. (Control propellant minimization for the next generation gravity mission. In: Fasano G, Pintér JD (eds) Modeling and optimization in space engineering – state of the art and new challenges. Springer, New York, 2019). Here we discuss the general issue of dispatching the control of a dynamic system through a number of actuators, presenting a novel model development and algorithmic solution approach. A control law, expressed in terms of total force and torque demand, represents the operational scenario. This gives rise to a very challenging optimization problem, concerning the actuator accommodation and utilization. Following the model formulation, a dedicated heuristic approach–involving nonlinear and mixed integer linear programming–is proposed. The numerical results presented illustrate the efficiency of the methodology adopted.

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previous chapter Nonparametric Importance Sampling Techniques for Sensitivity Analysis and Reliability Assessment of a Launcher Stage Fallout
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Metadata
Title
Dynamic System Control Dispatch: A Global Optimization Approach
Author
Giorgio Fasano
Copyright Year
2019
Book
Modeling and Optimization in Space Engineering

Print ISBN: 978-3-030-10500-6

Electronic ISBN: 978-3-030-10501-3

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-10501-3_4

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