Stability multiplexed autopilot
View Patent ↗Rolling airframe projectile guidance and stability systems are disclosed. Flight control surfaces, such as canards and/or tail fins are attached to a projectile airframe that is designed to roll during flight. Stepper motors are attached to the flight control surfaces and move the flight control surfaces in discrete increments. A control system generates signals that control the flight control surfaces. The control system may include a neural network that is trained to generate control signals in response to received inputs.
1. A projectile comprising:
an airframe configured to roll during flight;
a plurality of flight control surfaces attached to the airframe and configured to stabilize and guide the projectile during flight;
a plurality of stepper motors attached to the plurality of flight control surfaces, each stepper motor of the plurality of stepper motors independently controlling a corresponding one of the plurality of flight control surfaces; and
a control system configured to generate signals to control the plurality of stepper motors in discrete steps to stabilize and guide the projectile.
2. The projectile in claim 1 , further including a guidance system configured to provide guidance commands to the control system.
3. The projectile in claim 1 , further including a guidance system that provides one or more outputs to the control system, wherein the guidance system includes at least one of a global positioning system and an inertial measurement unit.
4. The projectile of claim 3 , wherein the control system includes a neural network that uses the one or more outputs of the guidance system to generate the signals to control the plurality of stepper motors.
5. The projectile in claim 1 , wherein the control system generates the signals to control the plurality of stepper motors using a neural network.
6. The projectile in claim 5 , wherein the control system further includes a weight selection circuit configured to determine weights for the neural network based on position data of the plurality of flight control surfaces and provide the weights to the neural network.
7. The projectile in claim 1 , wherein the plurality of flight control surfaces comprise canards.
8. The projectile in claim 7 , wherein the control system comprises a neural network.
9. The projectile in claim 1 , wherein the control system comprises a memory module that includes a table of control commands associated with sensor input values.
10. The projectile of claim 1 , wherein the control system comprises a memory module that includes a table of control commands associated with inputs to the control system and the control system is further configured to select one or more of the control commands based on the inputs to the control system and provide the selected one or more control commands as the signals to control the plurality of stepper motors.
11. The projectile of claim 1 , wherein the control system includes a neural network that uses input data to generate the signals to control the plurality of stepper motors, the input data including one or more of the following: data from a global positioning system, an inertial measurement unit, projectile state information including a rate of the projectile, projectile state information including an acceleration of the projectile, and position data of the flight control surfaces from one or more sensors of the projectile.
12. A method comprising:
(a) determining a state of a rolling airframe projectile;
(b) generating stepper motor commands to stabilize and guide the projectile based on the state of the rolling airframe projectile and a desired course; and
(c) applying the stepper motor commands to a plurality of stepper motors that are attached to a plurality of flight control surfaces of the rolling airframe projectile, each stepper motor of the plurality of stepper motors independently controlling a corresponding one of the plurality of flight control surfaces.
13. The method of claim 12 , wherein (a) includes determining a location of the rolling airframe projectile with a global positioning system, and (b) includes using the location of the rolling airframe projectile to generate the stepper motor commands.
14. The method of claim 13 , wherein (a) includes determining positions of the plurality of flight control surfaces, and (b) includes using the positions of the plurality of flight control surfaces to generate the stepper motor commands.
15. The method of claim 12 , wherein (b) includes generating the stepper motor commands with a neural network using the state of the rolling airframe projectile.
16. The method of claim 12 , wherein the plurality of flight control surfaces comprise at least one of canards and tail fins.