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Adaptive Force Control for Small Celestial Body Sampling

Authors :
Quadrelli, Marco M
Bernstein, Dennis S
Mohseni, Nima
Publication Year :
2022
Publisher :
United States: NASA Center for Aerospace Information (CASI), 2022.

Abstract

An adaptive force control algorithm for small celestial body sampling for a variety of surface properties is developed. The control algorithm consists of an adaptive controller combined with feedback linearization. When a spacecraft makes contact with the surface, it must maintain a desired contact force in order to capture a sample. The properties of the surface are unknown or uncertain before contact with the surface is made. The adaptive controller performs system identification online to create an input-output model of the feedback linearized system. From the input-output model a block observable canonical form is realized and the control input is determined by model predictive control (MPC) to maintain a desired contact force in spite of the unknown surface properties. The approach is applied to a variety of surface properties with linear and nonlinear contact models.

Details

Language :
English
Database :
NASA Technical Reports
Publication Type :
Report
Accession number :
edsnas.20230005678
Document Type :
Report