abstract In this article, a complete modelling, synthesis, and analysis methodology of control compensators for descent and landing (D&L) on small planetary bodies is presented. These missions are scientifically very rewarding but technically extremely challenging due to the complex and poorly known environment around those bodies, which calls for the ability to manage competing robustness and performance requirements. While this issue is typically addressed via the redefinition of D&L guidance strategies, here, it is tackled through the augmentation with a simple yet robust control compensator. This compensator is designed using linear fractional transformation modelling to capture the interplay with uncertain gravity fields and the recently developed structured (Formula presented.) optimisation framework, which has been proved particularly suitable for industry-oriented applications. The proposed approach is completely generic but uses the scenario of a landing on the Martian moon Phobos as an illustrative example. Different compensators are then verified and compared analytically via the structured singular value ¿ and through high-fidelity Monte Carlo simulation. Copyright © 2018 John Wiley & Sons, Ltd.
keywords descent & landing gravitational uncertainty modelling structured h¿ ¿ analysis intelligent systems landing linear transformations mathematical transformations monte carlo methods robust control guidance strategy high-fidelity known environments linear fractional transformations performance requirements small planetary bodies structured singular values uncertainty modelling uncertainty analysis