Trajectory Optimization and Guidance Methods for Mars Entry

Yu-ming Peng, Xu Liu, Xiu-qiang Jiang, et al.

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Springer Nature Singapore img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Luft- und Raumfahrttechnik

Beschreibung

This book systematically investigates the Mars entry problem from the perspectives of deterministic optimization, uncertainty optimization, and guidance. Began with a detailed review of the robotic missions and human-scaled exploration plans to Mars, theories or concepts of optimal control, uncertainty quantification, robust optimization, model predictive control, sequential convex programming, and computational guidance are subsequently introduced. Correspondingly, this book presents a series of trajectory planning and guidance algorithms to improve the robustness, reliability, and safety of the Mars missions. Because the Mars entry problem is studied using advanced mathematics, including probability theory, optimization theory, and cybernetics, thus the book is primarily designed as a textbook for graduate students in aerospace engineering, aeronautics, and astronautics departments. Engineers and researchers may also use this book as a reference or tutorial to help with the modeling and simulation of the Mars entry problem due to its thorough simulations and analyses.

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Schlagwörter

Uncertainty Qualification, Predictor-Corrector Guidance, Computational Guidance, Pseudospectral Method, Trajectory Planning and Guidance, Robust Optimization, Sequential Convex Programming, Mars Entry, Descent, and Landing, Desensitized Optimal Control, Model Predictive Control