Overview

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.