Dynamics and Control Spacecraft
Dynamics and Control Spacecraft has the similar structure as Flight Guidance and Control. However, this profile focuses on advance guidance, navigation and control techniques with their applications to space vehicles, reusable launch vehicles, and re-entry vehicles rather than aircraft, rotorcraft and UAVs. Advanced control theory (nonlinear control, adaptive control, robust control, intelligent control), global optimisation approaches (interval analysis, genetic algorithms, nonlinear programming), state and parameter estimation techniques (nonlinear and adaptive filtering, total least squares, wavelets analysis), modelling techniques (physical modelling, neural modelling, fuzzy modelling) will be learnt within this profile depending on final thesis project assignments. The learned techniques will be applied to rendezvous/docking vehicle GNC system designs, formation flying spacecraft GNC system designs, modelling of spacecraft with flexible structures and liquid sloshing, agile spacecraft attitude control, trajectory optimisation for re-usable launchers and re-entry vehicles, optimal terminal area energy management of re-entry vehicles, formation flying spacecraft constellation planning, adaptive/robust spacecraft attitude control, integrated navigation and attitude determination systems for earth satellites, deep-space spacecraft, re-entry and re-usable launch vehicles.
