Disclosed are an adaptive fully decoupled autopilot controlled using a radial basis function (RBF) neural network and a control method thereof. A system comprises: a required overload receiving module for receiving required overload information transmitted by a guidance system in real time; an aircraft parameter measurement module for acquiring flight parameters of an aircraft in real time; and a decoupling control module for acquiring an available steering instruction. A steering instruction for decoupling control is obtained according to the required overload information and the flight parameters of the aircraft. Next, a transit steering instruction is obtained according to the steering instruction for decoupling control and the flight parameters of the aircraft. Finally, an available steering instruction is obtained according to the transit steering instruction and the flight parameters of the aircraft, thereby controlling steering operations of a steering engine. When the decoupling control module is used to perform decoupling calculation, a state feedback matrix and a feed-forward compensation matrix associated therewith are obtained in real time by means of a radial basis function neural network model and a current state of the aircraft, thereby further improving control performance.
AUTOPILOT EMPLOYING RADIAL BASIS FUNCTION NEURAL NETWORK AND DECOUPLING CONTROL METHOD THEREOF