06403nam 2200673 a 450 991043814870332120200520144314.01-283-74050-81-4614-4469-110.1007/978-1-4614-4469-5(CKB)2670000000278001(EBL)994273(OCoLC)819407484(SSID)ssj0000796416(PQKBManifestationID)11441545(PQKBTitleCode)TC0000796416(PQKBWorkID)10789896(PQKB)10356564(DE-He213)978-1-4614-4469-5(MiAaPQ)EBC994273(PPN)168300346(EXLCZ)99267000000027800120120810d2013 uy 0engur|n|---|||||txtccrModeling and optimization in space engineering /Giorgio Fasano, Janos D. Pinter, editors1st ed. 2013.New York Springer20131 online resource (408 p.)Springer optimization and its applications,1931-6828 ;v. 73Description based upon print version of record.1-4899-9737-7 1-4614-4468-3 Includes bibliographical references.Modeling and Optimization in Space Engineering; Preface; About the Editors; Acknowledgements; Contents; Chapter 1 Model Development and Optimization for Space Engineering: Concepts, Tools, Applications, and Perspectives; 1.1 Introduction; 1.1.1 Modeling and Optimization: An Operations Research Framework; 1.1.2 Nonlinear Optimization; 1.1.3 Optimization Modeling Systems and Solver Engines; 1.2 The LGO Solver Suite for Nonlinear Optimization; 1.2.1 Solver Options; 1.2.2 LGO Program Structure; 1.2.3 Connectivity to Other Modeling Environments: Current Implementations1.2.4 An Illustrative Example1.3 Modeling and Optimization in Space Engineering: A Review of Applications and Perspectives; 1.3.1 Mission Analysis and Trajectory Planning; 1.3.2 Planning and Scheduling; 1.3.3 Cargo Loading and Unloading; 1.3.4 Payload Accommodation; 1.3.5 System Design; 1.3.6 Subsystem Design; 1.3.7 Ergonomic Aspects; 1.3.8 Payload Performance; 1.3.9 Observation Data Handling and Remote Monitoring; 1.3.10 Cost and Revenue Management; 1.3.11 Further Application Perspectives; 1.4 Concluding Remarks; ReferencesChapter 2 Practical Direct Collocation Methods for Computational Optimal Control2.1 Introduction to Optimal Control Problems and Their Formulation; 2.1.1 Formulation; 2.1.2 Optimality Conditions; 2.2 Nonlinear Programming; 2.3 Indirect Methods for Solving Optimal Control Problems; 2.4 Direct Collocation Methods; 2.4.1 Local Methods; 2.4.1.1 Trapezoidal Method; 2.4.1.2 Hermite-Simpson Method; 2.4.1.3 Optimality of the Discretised Problem; 2.4.1.4 Convergence; 2.4.2 Example: Simple Problem with Analytical Solution; 2.5 Practical Aspects; 2.5.1 Scaling; 2.5.2 Sparse Nonlinear Programming2.5.3 Efficient Sparse Differentiation2.5.4 Measures of Accuracy of the Discretisation; 2.5.5 Mesh Refinement; 2.5.6 Multi-phase Problems; 2.5.7 Potential Pitfalls; 2.6 Example: Space Vehicle Launch Problem; References; Chapter 3 Formation Flying Control for Satellites: Anti-windup Based Approach; 3.1 Introduction; 3.2 Relative Position Control; 3.2.1 Relative Position Plant Model; 3.2.2 Relative Position Controller; 3.2.3 Relative Position Actuator Model; 3.2.3.1 The Influence Matrix; 3.2.3.2 Thruster Saturation; 3.2.3.3 Allocation Function; 3.2.4 Relative Position Closed-Loop Model3.3 Anti-windup on the Relative Position Control3.3.1 Anti-windup Compensator Synthesis; 3.3.1.1 Static DLAW Synthesis; 3.3.1.2 Dynamic DLAW Synthesis; 3.3.1.3 MRAW and EMRAW Synthesis; 3.3.2 Simulations on Relative Position Control; 3.4 Conclusion; References; Chapter 4 The ESA NLP Solver WORHP; 4.1 Introductory Remarks; 4.2 Nonlinear Optimization; 4.2.1 Sequential Quadratic Programming; 4.2.1.1 Interior-Point Methods; 4.2.1.2 Constraint Relaxation; 4.2.1.3 Merit Functions; 4.2.1.4 Line Search; 4.2.1.5 Filter; 4.2.1.6 Hessian Regularization; 4.2.2 WORHP Implementation4.2.2.1 Derivative ApproximationsThis 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.Springer Optimization and Its Applications,1931-6828 ;73AstronauticsMathematical modelsAstronauticsMathematical models.005.4005.4/3SK 870rvkFasano Giorgio721629Pinter J1756705MiAaPQMiAaPQMiAaPQBOOK9910438148703321Modeling and optimization in space engineering4194152UNINA