Flight Guidance and Control
Flight Guidance and Control has two folds:
1. design and evaluation of advanced guidance and automatic flight control systems for aircraft, rotorcraft and unmanned aerial vehicles UAVs.
2. integrated flight test instrumentation/navigation system design and aircraft/rotorcraft model identification using flight test data.
Students will have opportunities to tackle challenging problems in the field of aerospace vehicle Guidance, Navigation and Control. 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), modeling techniques (physical modeling, neural modeling, fuzzy modeling) will be learnt within this profile depending on final thesis project assignments. Applications focus on fault tolerant and re-configurable flight control design, flight envelop clearance and protection, optimal terminal area energy management, off-line and on-line vehicle model identification using flight data, advanced flight test instrumentation system, GPS/Inertial/Airdata integrated navigation system, dynamic attitude and heading reference system (DAHRS). All successful developments in theory will have to be flight-tested eventually using real aircraft upon requirements. The goal of these researches is aiming for enhancing safety, survivability and performance for future aerospace vehicles.
