Space Engineering

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.