Print Email Facebook Twitter GOCE Spacecraft Attitude Control Title GOCE Spacecraft Attitude Control: A magnetic attitude controller simulator Author Maltha, Rutger (TU Delft Aerospace Engineering; TU Delft Space Engineering) Contributor Doornbos, E.N. (mentor) Visser, T. (mentor) Visser, P.N.A.M. (graduation committee) van Kampen, E. (graduation committee) Degree granting institution Delft University of Technology Programme Aerospace Engineering Date 2018-08-24 Abstract Given the difficulty that is normally associated with tuning highly nonlinear control systems, such as seen in LEO spacecraft, it is interesting to evaluate how new controller types perform. The measured data from the GOCE mission has led to the creation of high fidelity torque models describing the angular perturbations acting on a spacecraft. These torque models present an excellent opportunity to test the performance of new magnetically actuated attitude control methods. The work done in this thesis used these torque models in a simulation environment to evaluate the performance of an INDI-based control architecture for controlling the attitude of a GOCE-type spacecraft, using magnetic control actuation only. The goal was to evaluate whether an INDI-based control architecture can meet the same requirements that were set for the GOCE mission, and simultaneously evaluate the difficulty of tuning the controller and its sensitivity to errors and changes in gains once it is tuned. To achieve this a PD-controller was used as a reference controller, and two INDI-based controllers were set-up. One with a linear control outer loop (LINDI), and one with an NDI outer loop (NINDI). All three controllers have been tuned using a genetic algorithm. Subject Genetic algorithmINDIAttitude controlGOCESpacecraft torque modelsMagnetic attitude controlNDI To reference this document use: http://resolver.tudelft.nl/uuid:16c8d9b6-1d07-46fa-9a4f-4c445bd9e3dc Embargo date 2018-08-25 Part of collection Student theses Document type master thesis Rights © 2018 Rutger Maltha Files PDF Thesis_Maltha_Final_20180824.pdf 19.51 MB Close viewer /islandora/object/uuid:16c8d9b6-1d07-46fa-9a4f-4c445bd9e3dc/datastream/OBJ/view