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Mathematics | Modeling and Optimization in Space Engineering

Modeling and Optimization in Space Engineering

Fasano, Giorgio, Pintér, János D. (Eds.)

2013, XII, 404 p.

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  • Offers practical, real-world applications in space engineering
  •  Answers and raises questions on the future space exploration
  •  Includes detailed numerical case studies

This volume presents a selection of advanced case studies that address a substantial range of issues and challenges arising in space engineering. The contributing authors are well-recognized researchers and practitioners in space engineering and in applied optimization.

The key mathematical modeling and numerical solution aspects of each application case study are presented in sufficient detail. Classic and more recent space engineering problems – including cargo accommodation and object placement, flight control of satellites, integrated design and trajectory optimization, interplanetary transfers with deep space maneuvers, low energy transfers, magnetic cleanliness modeling, propulsion system design, sensor system placement, systems engineering, space traffic logistics, and trajectory optimization – are discussed. Novel points of view related to computational global optimization and optimal control, and to multidisciplinary design optimization are also given proper emphasis. A particular attention is paid also to scenarios expected in the context of future interplanetary explorations.

Modeling and Optimization in Space Engineering will benefit researchers and practitioners working on space engineering applications. Academics, graduate and post-graduate students in the fields of aerospace and other engineering, applied mathematics, operations research and optimal control will also find the book useful, since it discusses a range of advanced model development and solution techniques and tools in the context of real-world applications and new challenges.

Content Level » Professional/practitioner

Keywords » Control - Global optimization - Large-scale mathematical optimization - Mixed integer linear/nonlinear programming - Nonlinear programming - Optimal control theory - Space engineering optimization - Trajectory optimization

Related subjects » Control Engineering - Mathematics - Mechanical Engineering - Theoretical Computer Science

Table of contents 

Model Development and Optimization for Space Engineering: Concepts, Tools, Applications and Perspectives. János D. Pintér and Giorgio Fasano. -Practical Direct Collocation Methods for Computational Optimal Control. Victor M. Becerra. - Formation Flying Control for Satellites: Anti-windup Based Approach. Josep Boada, Christophe Prieur, Sophie Tarbouriech, Christelle Pittet and Catherine Charbonnel. - The ESA NLP Solver WORHP. Christof Büskens and Dennis Wassel. -Global Optimization Approaches for Optimal Trajectory Planning. Andrea Cassioli, David Di Lorenzo, Marco Locatelli and Fabio Schoen. -Indirect Methods for the Optimization of Spacecraft Trajectories. Guido Colasurdo and Lorenzo Casalino.– Launch and Re-entry Vehicles. Francesco Cremaschi. -Global Optimization of Interplanetary Transfers with Deep Space Manoeuvres using Differential Algebra. Pierluigi Di Lizia, Roberto Armellin, Francesco Topputo, Franco Bernelli-Zazzera, and Martin Berz. -A Traffic Model for the International Space Station: An MIP Approach. Giorgio Fasano. -Global Optimization Approaches to Sensor Placement: Model Versions and Illustrative Results. Giorgio Fasano and János D. Pintér. -Space Module On-Board Stowage Optimization Exploiting Container Empty Volumes. Giorgio Fasano and Maria Chiara Vola. -Optimization Models for the Three-dimensional Container Loading Problem with Practical Constraints. Leonardo Junqueira, Reinaldo Morabito, Denise Sato Yamashita and Horacio Hideki Yanasse. -Optimal Magnetic Cleanliness Modelling of Spacecraft. Klaus Mehlem. -Integrated Design-Trajectory Optimization for Hybrid Rocket Motors. Dario Pastrone and Lorenzo Casalino. -Mathematical Models of Placement Optimisation: Two-and-three-dimensional Problems and Applications. Yuri Stoyan and Tatiana Romanova. -Optimization of Low Energy Transfers. Francesco Topputo and Edward Belbruno.

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