LEADER 06403nam 2200673 a 450 001 9910438148703321 005 20200520144314.0 010 $a1-283-74050-8 010 $a1-4614-4469-1 024 7 $a10.1007/978-1-4614-4469-5 035 $a(CKB)2670000000278001 035 $a(EBL)994273 035 $a(OCoLC)819407484 035 $a(SSID)ssj0000796416 035 $a(PQKBManifestationID)11441545 035 $a(PQKBTitleCode)TC0000796416 035 $a(PQKBWorkID)10789896 035 $a(PQKB)10356564 035 $a(DE-He213)978-1-4614-4469-5 035 $a(MiAaPQ)EBC994273 035 $a(PPN)168300346 035 $a(EXLCZ)992670000000278001 100 $a20120810d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aModeling and optimization in space engineering /$fGiorgio Fasano, Janos D. Pinter, editors 205 $a1st ed. 2013. 210 $aNew York $cSpringer$d2013 215 $a1 online resource (408 p.) 225 0$aSpringer optimization and its applications,$x1931-6828 ;$vv. 73 300 $aDescription based upon print version of record. 311 $a1-4899-9737-7 311 $a1-4614-4468-3 320 $aIncludes bibliographical references. 327 $aModeling 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 Implementations 327 $a1.2.4 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; References 327 $aChapter 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 Programming 327 $a2.5.3 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 Model 327 $a3.3 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 Implementation 327 $a4.2.2.1 Derivative Approximations 330 $aThis volume presents a selection of advanced case studies that address a substantial range of issues and challenges arising in space engineering. The contributing authors are well-recognized researchers and practitioners in space engineering and in applied optimization. The key mathematical modeling and numerical solution aspects of each application case study are presented in sufficient detail. Classic and more recent space engineering problems ? including cargo accommodation and object placement, flight control of satellites, integrated design and trajectory optimization, interplanetary transfers with deep space maneuvers, low energy transfers, magnetic cleanliness modeling, propulsion system design, sensor system placement, systems engineering, space traffic logistics, and trajectory optimization ? are discussed. Novel points of view related to computational global optimization and optimal control, and to multidisciplinary design optimization are also given proper emphasis. A particular attention is paid also to scenarios expected in the context of future interplanetary explorations. Modeling and Optimization in Space Engineering will benefit researchers and practitioners working on space engineering applications. Academics, graduate and post-graduate students in the fields of aerospace and other engineering, applied mathematics, operations research and optimal control will also find the book useful, since it discusses a range of advanced model development and solution techniques and tools in the context of real-world applications and new challenges. 410 0$aSpringer Optimization and Its Applications,$x1931-6828 ;$v73 606 $aAstronautics$xMathematical models 615 0$aAstronautics$xMathematical models. 676 $a005.4 676 $a005.4/3 686 $aSK 870$2rvk 701 $aFasano$b Giorgio$0721629 701 $aPinter$b J$01756705 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910438148703321 996 $aModeling and optimization in space engineering$94194152 997 $aUNINA