Abstract
This paper considers automatic emergency recovery control system of an accident aircraft. This system is divided into three parts, 1) Neural Network identifies deterioration of control inputs and bias forces due to accident or failure, 2) the distribution matrix which distributes required control forces to control inputs are adjusted by using the identified control effectiveness, and 3) the numerical optimizer modifies the reference inputs of flight controller. Numerical Example demonstrates the control process of an aircraft with unexpected actuator failure and indicates the importance of artificial control inputs for learning the Neural Network.
