Icl-Based Adaptive Switching Control Strategy For Aircraft Following Change In System Dynamics

This paper investigates a switching control strategy for a fixed-wing flight vehicle subject to a dramatic change in dynamics. When a system-altering fault occurs, the vehicle switches from a fixed-gain, model-based controller to an adaptive control strategy that uses recorded data to identify the current system online. The adaptive controller employs a data-driven integral concurrent learning scheme to estimate the mass properties, as well as lift and drag coefficients online in an effort to match the faulted system as closely as possible with cataloged flight conditions. Stability is proven to be preserved even through failed attempts to switch from the adaptive controller back to a model-based controller, as long as the developed dwell-time and finite excitation conditions for the adaptive subsystem are satisfied. Copyright (C) 2020 The Authors.