Neurocomputing control distribution system
AssigneeThe Boeing Company
InventorJohn L. Vian
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Abstract
A method and system for controlling a propulsion system of a vehicle. The propulsion system includes at least one propulsion effector. The system also includes sensors for sensing vehicle position and motions, a control device for generating control signals, and a generator for generating desired vehicle forces/moments from the sensed vehicle position and motions and the generated control signals based on predefined vehicle compensation and control laws. Also included is a neural network controller for generating propulsion commands for the at least one propulsion effector based on the generated desire forces/moments, wherein said neural network controller was trained based on pregenerated vehicle control distribution data.
Claims20
A control system for controlling a propulsion system of a vehicle, said propulsion system including at least one propulsion effector, said control system comprising:
- at least one sensor for sensing vehicle position and motions;
- control means for generating control signals;
- a generator for generating desired vehicle forces from the sensed vehicle position and motions and the generated control signals based on predefined vehicle compensation and control laws;
- and
- a neural network controller for generating propulsion commands for the at least one propulsion effector by propagating the generated desired vehicle forces through the neural network controller.
A method for controlling a propulsion system of a vehicle, said propulsion system including at least one propulsion effector, said method comprising:
- sensing vehicle position and motions;
- generating control signals based on control inputs;
- generating desired vehicle forces from the sensed vehicle position and motions and the generated control signals based on predefined vehicle compensation and control laws;
- and
- generating propulsion commands for the at least one propulsion effector by propagating the generated desired vehicle forces through a neural network.
A method for training a neural network to control a propulsion system of a vehicle, said propulsion system including at least one propulsion effector, said method comprising:
- generating sets of desired vehicle forces for possible vehicle command signals, position and motions based on predefined vehicle compensation and control laws;
- generating sets of feasible propulsion system forces that correspond to sets of generated desired vehicle forces;
- establishing a neural network structure;
- and
- generating nodal weight values for the established neural network structure based on the generated sets of generated desired vehicle forces and the corresponding sets of feasible propulsion system forces.
Dependencies are inferred from the claim text.