ABSTRACT
The system identification, Kalman filtering and state/parameter estimation for aerospace—and other related systems like micro air vehicles, and unmanned aerial vehicles, underwater and ground vehicles and even robotic systems—have several potential applications. Many fault-tolerant control systems in an aircraft and other aerospace vehicles have the potential of detection, identification and accommodation of sensor and actuator failures. Modern fighter aircraft are designed to be longitudinally inherently unstable to gain good manoeuverability. Subsequently, these aircraft are provided with highly augmented full-authority control laws. To demonstrate the concept of stability margin estimation, the simulated closed-loop responses of the aircraft are considered without any measurement noise. Online parameter identification (PID) has a potential application in fault-tolerant flight control systems analysis. The PID exercise was carried out featuring the nominal and post-failure conditions in a single simulation process, considering clean and noisy simulated data.
