The Resource Space engineering : modeling and optimization with case studies, Giorgio Fasano, János D. Pintér, editors

Space engineering : modeling and optimization with case studies, Giorgio Fasano, János D. Pintér, editors

Label
Space engineering : modeling and optimization with case studies
Title
Space engineering
Title remainder
modeling and optimization with case studies
Statement of responsibility
Giorgio Fasano, János D. Pintér, editors
Contributor
Editor
Subject
Genre
Language
eng
Summary
This book presents a selection of advanced case studies that cover a substantial range of issues and real-world challenges and applications in space engineering. Vital mathematical modeling, optimization methodologies and numerical solution aspects of each application case study are presented in detail, with discussions of a range of advanced model development and solution techniques and tools. Space engineering challenges are discussed in the following contexts:?Advanced Space Vehicle Design?Computation of Optimal Low Thrust Transfers?Indirect Optimization of Spacecraft Trajectories?Resource-Constrained Scheduling,?Packing Problems in Space?Design of Complex Interplanetary Trajectories?Satellite Constellation Image Acquisition?Re-entry Test Vehicle Configuration Selection?Collision Risk Assessment on Perturbed Orbits?Optimal Robust Design of Hybrid Rocket Engines?Nonlinear Regression Analysis in Space Engineering<?Regression-Based Sensitivity Analysis and Robust Design?Low-Thrust Multi-Revolution Orbit Transfers?Modeling and Optimization of Balance Layout Problems?Pilot-Induced Oscillations Alleviation?Modeling and Optimization of Hybrid Transfers to Near-Earth Objects?Probabilistic Safety Analysis of the Collision Between Space Debris and Satellite?Flatness-based Low-thrust Trajectory Optimization for Spacecraft Proximity Operations The contributing authors are expert researchers and practitioners in either the space engineering and/or in the applied optimization fields. Researchers and practitioners working in various applied aspects of space engineering will find this book practical and informative. Academics, graduate and post-graduate students in aerospace engineering, applied mathematics, operations research, optimization, and optimal control, will find this book useful
Member of
Cataloging source
YDX
Dewey number
  • 629.4
  • 510
Index
index present
LC call number
  • TL790
  • QA1-939
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Fasano, Giorgio
  • Pintér, J.
Series statement
Springer optimization and its applications,
Series volume
volume 114
http://library.link/vocab/subjectName
  • Astronautics
  • Aeronautics
  • TECHNOLOGY & ENGINEERING
  • Aeronautics
  • Astronautics
  • Numerical analysis
  • Mathematical modelling
  • Applied mathematics
  • Optimization
Label
Space engineering : modeling and optimization with case studies, Giorgio Fasano, János D. Pintér, editors
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-41508-6
Instantiates
Publication
Note
Includes index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Preface; Acknowledgments; MSC 2010 Classification: Suggested Categories and Keywords for the Book; Contents; Editors; Advanced Space Vehicle Design Taking into Account Multidisciplinary Couplings and Mixed Epistemic/Aleatory Uncertainties ; Nomenclature; 1 Introduction; 2 MDO Decomposition Strategy for Launch Vehicle Design; 2.1 General MDO Formulation and Review of Main MDO Approaches; 2.2 Stage-Wise decomposition for Optimal Rocket Design; 2.2.1 Theoretical Formulations; 2.2.2 Application of SWORD to Launch Vehicle Design; 3 Introduction of Uncertainty in the Design Process
  • 3.1 Optimization of Design Rules and Safety Margins Taking into Account Mixed Epistemic/Aleatory Uncertainties3.2 Uncertainty Multidisciplinary Design Optimization; 3.2.1 Theoretical Approach for Interdisciplinary Coupling Satisfaction in the Presence of Uncertainty; 3.2.2 Application for Launch Vehicle Design; 4 Conclusion; References; Using Direct Transcription to Compute Optimal Low Thrust Transfers Between Libration Point Orbits; 1 The Optimal Control Problem; 2 Transcription Method; 3 Runge-Kutta Methods; 3.1 Lobatto IIIA, S = 2; 3.2 Lobatto IIIA, S = 3; 3.3 Lobatto IIIA, S = 4
  • 3.4 Lobatto IIIA, S = 54 Nonlinear Programming; 5 Mesh Refinement; 6 Optimal Low Thrust Transfers Between Libration Point Orbits; 6.1 Introduction; 6.2 Dynamic Model; 6.3 Lyapunov Orbits; 6.4 Adjoint Equations; 7 Numerical Results; 7.1 Short Transfer; 7.2 Long Transfer; 8 Computational Comparisons; 8.1 Spline Approximation; 8.2 Mesh Refinement Strategy; 8.3 Indirect Collocation; 9 Summary; Appendix: Lobatto IIIA Method Coefficients; References; Tentative Solutions for Indirect Optimization of SpacecraftTrajectories; 1 Introduction; 2 Optimal Control Problem
  • 3 Application to Space Trajectories Optimization4 BVP Solution and Improvements of Numerical Accuracy; 4.1 Gradient Evaluation; 4.2 Thrust Discontinuities; 4.3 Multiple Shooting; 5 Techniques to Improve Convergence; 6 Final Remarks; References; Resource-Constrained Scheduling with Non-constant Capacity and Non-regular Activities; 1 Introduction; 2 Time-Indexed Formulation; 3 Applications and Computational Results; 3.1 Basic Test Set; 3.2 Test Sets A, B, C, D, E and F; 3.3 Test Set G; 3.4 Tests Extracted from Fekete's and Shepers' Set; 4 Conclusions; Appendix; Test Set F Power Consumption
  • Test set B Power FunctionTest Set C Power Function; Test Set D Power Function; Test Set E Power Function; Test set F Power Function; Test Set G: Resource 1 Function; Test Set G: Resource 2 Function; Test Set G: Resource 3 Function; References; Packing Problems in Space Solved by CPLEX: An Experimental Analysis; 1 Introduction; 2 MILP Model and Heuristic Approach; 3 Experimental Framework and Results; 4 Conclusive Remarks; Appendix; References; Designing Complex Interplanetary Trajectories for the Global Trajectory Optimization Competitions; 1 Introduction; 2 Building Blocks
Dimensions
unknown
Extent
1 online resource.
Form of item
online
Isbn
9783319415086
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Note
SpringerLink
Specific material designation
remote
System control number
  • (OCoLC)967683803
  • (OCoLC)ocn967683803
Label
Space engineering : modeling and optimization with case studies, Giorgio Fasano, János D. Pintér, editors
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-41508-6
Publication
Note
Includes index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Preface; Acknowledgments; MSC 2010 Classification: Suggested Categories and Keywords for the Book; Contents; Editors; Advanced Space Vehicle Design Taking into Account Multidisciplinary Couplings and Mixed Epistemic/Aleatory Uncertainties ; Nomenclature; 1 Introduction; 2 MDO Decomposition Strategy for Launch Vehicle Design; 2.1 General MDO Formulation and Review of Main MDO Approaches; 2.2 Stage-Wise decomposition for Optimal Rocket Design; 2.2.1 Theoretical Formulations; 2.2.2 Application of SWORD to Launch Vehicle Design; 3 Introduction of Uncertainty in the Design Process
  • 3.1 Optimization of Design Rules and Safety Margins Taking into Account Mixed Epistemic/Aleatory Uncertainties3.2 Uncertainty Multidisciplinary Design Optimization; 3.2.1 Theoretical Approach for Interdisciplinary Coupling Satisfaction in the Presence of Uncertainty; 3.2.2 Application for Launch Vehicle Design; 4 Conclusion; References; Using Direct Transcription to Compute Optimal Low Thrust Transfers Between Libration Point Orbits; 1 The Optimal Control Problem; 2 Transcription Method; 3 Runge-Kutta Methods; 3.1 Lobatto IIIA, S = 2; 3.2 Lobatto IIIA, S = 3; 3.3 Lobatto IIIA, S = 4
  • 3.4 Lobatto IIIA, S = 54 Nonlinear Programming; 5 Mesh Refinement; 6 Optimal Low Thrust Transfers Between Libration Point Orbits; 6.1 Introduction; 6.2 Dynamic Model; 6.3 Lyapunov Orbits; 6.4 Adjoint Equations; 7 Numerical Results; 7.1 Short Transfer; 7.2 Long Transfer; 8 Computational Comparisons; 8.1 Spline Approximation; 8.2 Mesh Refinement Strategy; 8.3 Indirect Collocation; 9 Summary; Appendix: Lobatto IIIA Method Coefficients; References; Tentative Solutions for Indirect Optimization of SpacecraftTrajectories; 1 Introduction; 2 Optimal Control Problem
  • 3 Application to Space Trajectories Optimization4 BVP Solution and Improvements of Numerical Accuracy; 4.1 Gradient Evaluation; 4.2 Thrust Discontinuities; 4.3 Multiple Shooting; 5 Techniques to Improve Convergence; 6 Final Remarks; References; Resource-Constrained Scheduling with Non-constant Capacity and Non-regular Activities; 1 Introduction; 2 Time-Indexed Formulation; 3 Applications and Computational Results; 3.1 Basic Test Set; 3.2 Test Sets A, B, C, D, E and F; 3.3 Test Set G; 3.4 Tests Extracted from Fekete's and Shepers' Set; 4 Conclusions; Appendix; Test Set F Power Consumption
  • Test set B Power FunctionTest Set C Power Function; Test Set D Power Function; Test Set E Power Function; Test set F Power Function; Test Set G: Resource 1 Function; Test Set G: Resource 2 Function; Test Set G: Resource 3 Function; References; Packing Problems in Space Solved by CPLEX: An Experimental Analysis; 1 Introduction; 2 MILP Model and Heuristic Approach; 3 Experimental Framework and Results; 4 Conclusive Remarks; Appendix; References; Designing Complex Interplanetary Trajectories for the Global Trajectory Optimization Competitions; 1 Introduction; 2 Building Blocks
Dimensions
unknown
Extent
1 online resource.
Form of item
online
Isbn
9783319415086
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Note
SpringerLink
Specific material designation
remote
System control number
  • (OCoLC)967683803
  • (OCoLC)ocn967683803

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