초록 ▼

A method, system and computer-readable medium for controlling a control subsystem of a vehicle. The control subsystem includes at least one propulsion, aerodynamic, or other control effector. The system also includes sensors for sensing vehicle position and motions and operating conditions, a contro

A method, system and computer-readable medium for controlling a control subsystem of a vehicle. The control subsystem includes at least one propulsion, aerodynamic, or other control effector. The system also includes sensors for sensing vehicle position and motions and operating conditions, a control input device for generating control signals, and a generator for generating desired vehicle forces/moments from the sensed vehicle position and motions and operating conditions, and the generated control input signals based on predefined vehicle compensation and control laws. Also included is a neural network controller for generating control subsystem commands for the at least one propulsion, aerodynamic, or other control effector based on the generated desired forces/moments, wherein said neural network controller was trained based on pregenerated vehicle control distribution data. The neural network controller is also trained to compensate for one or more failed control effectors.

대표청구항 ▼

[ What is claimed is:] [1.]1. A control system for controlling the movement of a thrust-propelled vehicle, comprising:(a) a neural network controller, wherein said neural network controller is trained off-line in order to generate nodal weight values for a plurality of system conditions for a thrust

[ What is claimed is:] [1.]1. A control system for controlling the movement of a thrust-propelled vehicle, comprising:(a) a neural network controller, wherein said neural network controller is trained off-line in order to generate nodal weight values for a plurality of system conditions for a thrust-propelled vehicle, including the velocity of movement of the thrust-propelled vehicle in at least one direction;(b) means for sensing the velocity of movement of the thrust-propelled vehicle in the at least one direction; and(c) means for generating at least one command based on the sensed velocity of movement of the thrust-propelled vehicle in the at least one direction and the nodal weight values contained in the neural network controller for the velocity of movement of the thrust-propelled vehicle in the at least one direction.