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:

â¢Advanced Space Vehicle Design

â¢Computation of Optimal Low Thrust Transfers

â¢Indirect Optimization of Spacecraft Trajectories

â¢Resource-Constrained Scheduling,

â¢Packing Problems in Space

â¢Design of Complex Interplanetary Trajectories

â¢Satellite Constellation Image Acquisition

â¢Re-entry Test Vehicle Configuration Selection

â¢Collision Risk Assessment on Perturbed Orbits

â¢Optimal Robust Design of Hybrid Rocket Engines

â¢Nonlinear Regression Analysis in Space Engineering

â¢Regression-Based Sensitivity Analysis and Robust Design

â¢Modeling and Optimization of Balance Layout Problems

â¢Pilot-Induced Oscillations Alleviation

â¢Modeling and Optimization of Hybrid Transfers to Near-Earth Objects

â¢Probabilistic Safety Analysis of the Collision Between Space Debris and Satellite

â¢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.