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ویرایش:
نویسندگان: Giorgio Fasano. János D. Pintér
سری: Springer Optimization and Its Applications, 200
ISBN (شابک) : 3031248112, 9783031248115
ناشر: Springer
سال نشر: 2023
تعداد صفحات: 402
[403]
زبان: English
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 26 Mb
در صورت تبدیل فایل کتاب Modeling and Optimization in Space Engineering: New Concepts and Approaches به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب مدلسازی و بهینهسازی در مهندسی فضا: مفاهیم و رویکردهای جدید نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
این جلد شامل 14 فصل است که توسط متخصصان برجسته نوشته شده است و بحث های عمیقی در مورد مدل سازی ریاضی و جنبه های الگوریتمی برای مقابله با طیف وسیعی از کاربردهای مهندسی فضا ارائه می دهد. این کتاب مورد توجه محققان و دست اندرکارانی که در زمینه مهندسی فضا کار می کنند خواهد بود. از آنجایی که این کتاب توضیحی عمیق از مدلسازی ریاضی، جنبههای الگوریتمی و حل عددی موضوعات تحت پوشش ارائه میدهد، این کتاب همچنین برای فارغالتحصیلان مهندسی هوافضا و دانشجویان کارشناسی ارشد که میخواهند دانش خود را با مطالعه برنامههای کاربردی در دنیای واقعی گسترش دهند، مفید خواهد بود. و چالش هایی که در حرفه خود با آن مواجه خواهند شد. خوانندگان یک نمای کلی از برخی از چالش برانگیزترین سناریوهای عملیاتی مهندسی فضا امروز و فردا به دست خواهند آورد: این برای مدیران در زمینه هوافضا و همچنین در سایر بخش های صنعتی مفید خواهد بود. فصل های ارائه شده عمدتاً بر روی تمرین مهندسی فضا متمرکز شده اند. محققان و دست اندرکاران مدل سازی سیستم های ریاضی، تحقیق در عملیات، بهینه سازی و کنترل بهینه نیز از مطالعات موردی ارائه شده در این کتاب بهره مند خواهند شد. رویکردهای توسعه و بهینهسازی مدل مورد بحث را میتوان به سمت سایر حوزههای کاربردی که مستقیماً با مهندسی فضا مرتبط نیستند گسترش داد. بنابراین، کتاب می تواند مرجع مفیدی برای کمک به توسعه برنامه های مدل سازی و بهینه سازی جدید باشد.
This volume consists of 14 contributed chapters written by leading experts, offering in-depth discussions of the mathematical modeling and algorithmic aspects for tackling a range of space engineering applications. This book will be of interest to researchers and practitioners working in the field of space engineering. Since it offers an in-depth exposition of the mathematical modelling, algorithmic and numerical solution aspects of the topics covered, the book will also be useful to aerospace engineering graduates and post-graduate students who wish to expand their knowledge by studying real-world applications and challenges that they will encounter in their profession. Readers will obtain a broad overview of some of the most challenging space engineering operational scenarios of today and tomorrow: this will be useful for managers in the aerospace field, as well as in other industrial sectors. The contributed chapters are mainly focused on space engineering practice. Researchers and practitioners in mathematical systems modelling, operations research, optimization, and optimal control will also benefit from the case studies presented in this book. The model development and optimization approaches discussed can be extended towards other application areas that are not directly related to space engineering. Therefore, the book can be a useful reference to assist in the development of new modelling and optimization applications.
Preface Acknowledgments Contents About the Editors Advances in the Control Propellant Minimization for the Next Generation Gravity Mission List of Acronyms 1 Introduction 2 The Control Problem 3 Thruster Layout Optimization 3.1 Problem Statement and Overall Approach 3.2 Case Studies 3.2.1 Case Study 1 3.2.2 Case Study 2 3.2.3 General Remarks 4 Satellite Control Simulation and Mission Performance 5 Concluding Remarks and Future Developments References Transition of Two-Dimensional Quasi-periodic Invariant Tori in the Real-Ephemeris Model of the Earth–Moon System 1 Introduction 2 Dynamical Models 2.1 ERTBP 2.2 Full Ephemeris 3 Quasi-periodic Orbits in ERTBP 3.1 The GMOS Algorithm 3.2 Initial Guess Generation 3.3 Numerical Continuation 3.4 Post-processing and Torus Maps 4 Transition to Full-Ephemeris Model 4.1 First-Guess Generation 4.2 SNOPT Optimization 5 Conclusions References Hypersonic Point-to-Point Travel for the Common Man 1 Introduction 2 Simulation Model 2.1 Reference Vehicle 2.2 Reference Mission 2.3 Flight Dynamics 2.4 Aerodynamic Heating 2.5 Guidance 2.5.1 Skip Suppression 2.5.2 Lateral Guidance 3 The Decision Vector 4 The Fitness Vector 5 Design Space Exploration 6 Trajectory Optimisation 6.1 Decoupled Approach 6.2 Coupled Approach 7 Concluding Remarks References Bifocal Metrology Applications in Space Engineering 1 Introduction 2 Bifocal System Concept 3 Mathematical Model 3.1 3D-Transformation Matrix 3.2 Bifocal Problem Statement 3.3 Mathematical Solution 3.4 Error Analysis 4 Optimization Aspects 4.1 System Sizing Optimization 4.2 Light Spot Optimization 5 An Illustrative Case Study 6 Concluding Remarks References A Revisited Analysis of the Radioisotope Sail and Its Possible Application to Relativistic Spaceflight 1 Introduction 2 Fundamentals of Relativistic Spaceflight 2.1 Rocket Equation 2.1.1 Classical Rocket Equation or Tsiolkovsky Equation 2.1.2 Relativistic Rocket Equation or Ackeret Equation 2.2 Relativistic Spaceflight Profiles 2.2.1 Uniform Linear Motion 2.2.2 Hyperbolic Motion 2.2.3 Constant Thrust Motion – Exhaust Velocity we == c 2.2.4 Constant Thrust Motion – Exhaust Velocity we=c 2.2.5 Negative Exponential Acceleration Motion 2.2.6 Characteristic Formulas of All Profiles Studied 3 Fundamentals of Radioactive Decay 3.1 Alpha Decay 4 Radioisotope Sail as Propulsion System 4.1 Configuration 4.2 Single Decay Mathematical Model 4.2.1 Decay Characteristics 4.2.2 Dynamical Characteristics and Masses 4.2.3 Propulsion Performance 4.2.4 Compatibility with Negative Exponential Acceleration Motion 4.3 Double Decay Mathematical Model 4.3.1 Decay Characteristics 4.3.2 Dynamical Characteristics and Masses 4.3.3 Propulsion Performance 4.4 Generalized Mathematical Model for Any Decay Chain 4.4.1 Decay Characteristics 4.4.2 Dynamical Characteristics and Masses 4.4.3 Propulsion Performance 4.5 Example of Application 4.5.1 Pluto Mission with a Single Decay Radioisotope Sail 4.5.2 Pluto Mission with a Double Decay Radioisotope Sail 5 Conclusions References The ERC-Funded EXTREMA Project: Achieving Self-Driving Interplanetary CubeSats 1 Introduction 1.1 Framing 1.2 State of the Art 1.2.1 Guidance 1.2.2 Navigation 1.2.3 Control 1.2.4 Ballistic Capture 1.3 The EXTREMA Project 2 Methodology 2.1 Autonomous Navigation 2.2 Autonomous Guidance and Control 2.3 Autonomous Ballistic Capture 3 Modeling 3.1 Modeling of Optical Navigation Systems 3.2 Modeling of Low-Thrust Propulsion Systems 4 Integrated Simulation of Interplanetary Transfers 4.1 The OSH 4.1.1 On-board Computer 4.1.2 Attitude 4.1.3 Orbital Control System 4.1.4 Navigation System 4.1.5 Numerical Integrator 4.1.6 Additional Systems and Components 4.2 Remarks 5 Expected Outcomes 5.1 Case Studies 5.2 Potential Impact 6 Conclusions References Data Reduction for Optimizing the Attitude Control Dispatch in a Spacecraft 1 Introduction 2 Clustering Approach 2.1 Algorithmic Framework 2.1.1 K-means 2.1.2 K-medoids 2.2 Cluster Evaluation 3 A Clustering Approach Tailored to the Problem 3.1 Data Normalization 3.2 Adopted Clustering Methodology 3.2.1 Adjusted k-means 3.2.2 Lloyd-Like Algorithm for K-medoid 3.2.3 Hybrid k-means–k-medoids 3.3 Approach Evaluation and Practical Implementation 4 Case Study 4.1 Instance Reduction 4.2 Applied Methodology 4.2.1 First Step 4.2.2 Second Step 4.2.3 Third Step 5 Conclusive Remarks References Second-order Sufficient Conditions of Strong Minimality with applications to Orbital Transfers 1 Introduction 2 The Bolza Problem and the First-order NC 3 The Basic Assumptions on the Hamiltonian and the Extremal 3.1 An Example of Irregular Hamiltonian 4 The Extended Sufficient Conditions 4.1 The Jacobi Field 5 Maximal Interval for the Extended Sufficient Conditions 5.1 Maximal Interval for the Extended Sufficient Conditions 6 The Conjugate Point Condition 6.1 The Jacobi Sufficiency Conditions in the Fixed Time Case 7 Applications to Space Orbital Transfers 7.1 Low-thrust Planar Orbital Transfer with Quadratic Integral Cost and Regular Hamiltonian 7.2 Low-thrust Planar Orbital Transfer with Linear Integral Cost and Irregular Hamiltonian 7.3 Three Impulse Orbital Transfer References Evolutionary Optimisation of a Flexible-Launcher Simple Adaptive Control System 1 Introduction 2 Pitch-plane State-space Model of Flexible Launcher 3 Control System Design 3.1 Introduction 3.2 Simple Adaptive Control 3.3 Implementation 4 Optimisation Problem 5 Results 5.1 Design Space Exploration 5.2 Single-objective Optimisation 5.3 Multi-objective Optimisation 6 Concluding Remarks Appendix A: Pac Astro Mass Properties and Geometry Appendix B: State-space Matrices References Optimization and Solution Approaches in Utilizing Wireless Sensor Networks for Exploring Moon, Planets, and Space 1 Introduction 2 Exploring the Moon by Using WSNs 3 Exploring the Planets by Using WSNs 4 Using WSNs in Space Missions 5 Conclusion References Near-Optimal Guidance and Pulse-Modulated Reduced-Attitude Control for Orbit Injection 1 Introduction 2 Dynamics of the Upper Stage of a Launch Vehicle 2.1 Trajectory 2.2 Attitude 3 Near-Optimal Guidance 3.1 Local Projection of Position and Velocity 3.2 Optimal Control 3.3 Commanded Attitude 3.4 Guidance Algorithm 4 Nonlinear Quaternion-Based Reduced-Attitude Control 4.1 Relative Attitude Kinematics 4.2 Feedback Control Law and Stability Analysis 4.3 Gain Selection 5 Actuation 5.1 Pulse Modulation for Side Jets 5.2 Thrust Vectoring 5.3 Kane's Description of the Spacecraft Dynamics 6 Orbit Injection at GEO 7 Concluding Remarks References A Pareto Front Numerical Reconstruction Strategy Applied to a Satellite System Conceptual Design 1 Introduction 2 Satellite System 3 Multi-Objective Optimization Problem 4 Proposed Methodology 5 Application to a Study Case 5.1 High-Level Mission Requirements 5.2 System Architecture 5.3 Optimization Problem 5.4 Optimization Schemes. Application 5.4.1 Direct Numerical Simulation 5.4.2 Genetic Algorithm 5.5 Comparison between DNS and GA 5.6 Final Selection Process 6 Final Remarks References Indirect Optimization of Robust Orbit Transfer Considering Thruster Underperformance 1 Introduction 2 Indirect Method Optimization 3 Transfer between Highly Elliptic Orbits with Luni-Solar Perturbations 3.1 Differential Equation 3.2 Optimal Controls 3.3 Boundary Conditions 4 Reference Satellite Transfer and Boundary Conditions 5 Robust Approach 6 Results 6.1 Ideal Failure Recovery 6.2 Failure Recovery of Optimal Solution 6.3 Robust Case 7 Conclusions References Time-Varying Lyapunov Control Laws with Enhanced Estimation of Distribution Algorithm for Low-Thrust TrajectoryDesign List of Acronyms 1 Introduction 2 Low-Thrust Trajectory Design 2.1 Two-Body Dynamics 2.2 Lyapunov Control 2.2.1 Simple Lyapunov Controller 2.2.2 Proximity Quotient Controller (Q-law) 2.2.3 Control Direction 3 Optimization Approach 3.1 Direct Interpolation 3.2 Enhanced Estimation of Distribution Algorithm 4 Numerical Simulations 4.1 GTO to GEO 4.2 GTO to Molniya 5 Conclusion References