Adaptive Critic Control For Aircraft Lateral-Directional Dynamics

Adaptive Critic Control For Aircraft Lateral-Directional Dynamics: An Evaluation of J-SNAC Algorithm as a Fault Tolerant Flight Control Framework

Ashraf, Imrul (TU Delft Aerospace Engineering; TU Delft Control & Simulation)

van Kampen, E. (mentor)

Delft University of Technology

Aerospace Engineering

2018-11-13

Loss of control-in flight (LOC-I) is one of the causes of catastrophic aircraft accidents. Fault-tolerant flight control (FTFC) systems can prevent LOC-I and recover aircraft from its precursors. One group of promising methods for developing Fault-Tolerant Control (FTC) system is the Adaptive Critic Designs (ACD). Recently one ACD algorithm, called Value Function Based Single Network Adaptive Critic (J-SNAC), has emerged and it promises to make applications of ACD more practical by reducing the required amount of computations. This paper discusses the implementation of this framework for the design of a lateral-directional flight controller. The proposed flight controller is trained to perform coordinated-turns with an F16 simulation model. The trained controller was evaluated for tracking different heading command signals, robustness against sensor noise and partial failure of aerodynamic control surfaces. The controller is found to be effective for the considered assessments.

Reinforcement Learning
Adaptive critic control
Fixed wing aircraft
F16
Fault Tolerant Control
radial basis functions
Lateral-directional dynamics
Loss of control

http://resolver.tudelft.nl/uuid:d1902a80-f684-4472-bace-342401fcf00d

Student theses

master thesis

© 2018 Imrul Ashraf