Giorgio Fasano - Böcker

This selection of key studies covering numerous core challenges in space engineering addresses classic space application problems, such as trajectory optimization, alongside new ones including multidisciplinary design optimization and optimal control theory.

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 manoeuvres, 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.

This book presents advanced case studies that address a range of important issues arising in space engineering. An overview of challenging operational scenarios is presented, with an in-depth exposition of related mathematical modeling, algorithmic and numerical solution aspects. The model development and optimization approaches discussed in the book can be extended also towards other application areas.The topics discussed illustrate current research trends and challenges in space engineering as summarized by the following list: •       Next Generation Gravity Missions•       Continuous-Thrust Trajectories by Evolutionary Neurocontrol•       Nonparametric Importance Sampling for Launcher Stage Fallout•       Dynamic System Control Dispatch•       OptimalLaunch Date of Interplanetary Missions•       Optimal Topological Design•       Evidence-Based Robust Optimization•       Interplanetary Trajectory Design by Machine Learning•       Real-Time Optimal Control•       Optimal Finite Thrust Orbital Transfers•       Planning and Scheduling of Multiple Satellite Missions•       Trajectory Performance Analysis•       Ascent Trajectory and Guidance Optimization•        Small Satellite Attitude Determination and Control •       Optimized Packings in Space Engineering•       Time-Optimal Transfers of All-Electric GEO Satellites Researchers working on space engineering applications will find this work a valuable, practical source of information. Academics, graduate and post-graduate students working in aerospace, engineering, applied mathematics, operations research, and optimal control will find useful information regarding model development and solution techniques, in conjunction with real-world applications.

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 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.

The book consists of the proceedings of the workshop "New Trends and Challenges in Optimization Theory Applied to Space Engineering", held in l'Aquila (Italy), and organized by the Gran Sasso Science Institute (GSSI), on December 13-15, 2023. The main purpose of the book is to provide an overview of the most important current topics concerning optimal control in space. Optimal control theory is an exciting research area, where both new theoretical approaches and application problems come into play. The “New Trends and Challenges in Optimization Theory Applied to Space Engineering” conference brought together influential academic researchers and experts from industry and government to build bridges between their respective groups. The topics of the conference panels are selected to include the most advanced areas of interest for space applications. In line with the mission of the Gran Sasso Tech Foundation, interdisciplinary dialogue is promoted between the sciences, and different experts are encouraged to work together to identify new problems and generate new solutions. Covering a wide range of space-related topics and challenges, this conference aims to lay the foundation for a long-term collaboration between different groups of experts. A broad overview of control theory applications in space is presented, highlighting the most recent aspects, both from a theoretical and practical point of view, in particular on the following topics: - manifold dynamics, trajectory design and related control aspects;- AI techniques in guidance control problems and space missions;- optimization techniques for constellations with applications to space operations;- multi-stage control problems for launch and landing problems;- optimal control problems in the presence of uncertain parameters;- improved sufficient and necessary conditions in optimal control problems for space problems. New methods, specific mathematical models, ad hoc algorithms and heuristics, innovative mission scenarios, and advances in classical control theory are presented.

This book provides a comprehensive exploration of the complex decision-making processes inherent in space engineering (SE) projects, focusing on the analysis, modeling, and optimization of these challenges. As SE projects evolve, they demand innovative solutions to balance mission viability, safety, technical feasibility, and cost-efficiency, all while addressing environmental concerns and the intricacies of international collaboration.The chapters cover a range of critical topics, including the optimization of mission resources, interplanetary explorations, and the integration of environmental constraints into mission planning. Contributions from leading experts in the field offer insights into the latest advancements in computational modeling and optimization techniques, making this volume an essential resource for understanding the multifaceted nature of SE projects. Readers will encounter detailed case studies and practical applications that illustrate the real-world challenges and solutions in SE.This book is an invaluable resource for researchers and practitioners in space engineering, as well as aerospace engineering graduate and postgraduate students. It offers a deep dive into the mathematical and algorithmic foundations of SE, providing a solid reference for those looking to extend these methodologies to other fields. Managers and decision-makers in aerospace and related industries will also find the insights presented here crucial for navigating the future of space exploration.

This book results from a long-term research effort aimed at tackling complex non-standard packing issues which arise in space engineering. The main research objective is to optimize cargo loading and arrangement, in compliance with a set of stringent rules. Complicated geometrical aspects are also taken into account, in addition to balancing conditions based on attitude control specifications.Chapter 1 introduces the class of non-standard packing problems studied. Chapter 2 gives a detailed explanation of a general model for the orthogonal packing of tetris-like items in a convex domain. A number of additional conditions are looked at in depth, including the prefixed orientation of subsets of items, the presence of unusable holes, separation planes and structural elements, relative distance bounds as well as static and dynamic balancing requirements. The relative feasibility sub-problem which is a special case that does not have an optimization criterion is discussed in Chapter 3. This setting can be exploited by introducing an ad hoc objective function, aimed at facilitating the finding of integer-feasible solutions. The third chapter also discusses the issue of tightening the general MIP model by introducing valid inequalities. A MIP-based heuristic approach is developed in Chapter 4, where the basic concept of abstract configuration is presented. Chapter 5 is devoted to experimental results relevant to a real-world application framework. Chapter 6 adopts both extensions of the general MIP model and non-linear formulations to tackle two further non-standard packing issues. The final Chapter 7 presents conclusions and provides insights regarding prospective developments (including non-standard scheduling aspects).Practitioners and researchers interested in advanced optimization model development and solution in the context of logistics, transportation systems, complex structures, manufacturing and electronics will find this book useful. The book can also be used in graduate courses on nonlinear - including global and mixed integer - optimization, as a valuable collection of practically meaningful object packing applications.

This volume presents a selection of case studies that address a substantial range of optimized object packings (OOP) and their applications. The contributing authors are well-recognized researchers and practitioners. The mathematical modelling and numerical solution aspects of each application case study are presented in sufficient detail. A broad range of OOP problems are discussed: these include various specific and non-standard container loading and object packing problems, as well as the stowing of hazardous and other materials on container ships, data centre resource management, automotive engineering design, space station logistic support, cutting and packing problems with placement constraints, the optimal design of LED street lighting, robust sensor deployment strategies, spatial scheduling problems, and graph coloring models and metaheuristics for packing applications. Novel points of view related to model development and to computational nonlinear, global, mixed integer optimization and heuristic strategies are also discussed.Optimized Packings with Applications will benefit researchers and practitioners working on a broad range of topical engineering and operations research applications. Academics, graduate and post-graduate students in the fields of engineering, applied mathematics, operations research and optimization 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.

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 OperationsThe 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.