IP Library › Granted Patent US 9,429,952
Granted Patent B2
US 9,429,952 · App. 14/245,036 · Granted Aug 30, 2016

Rotorcraft control laws for sea-based operations

Inventors: Derek Geiger (Wilton, CT); James Rigsby (Fort Worth, TX); Aaron L. Greenfield (Shelton, CT); Vineet Sahasrabudhe (Cheshire, CT); Jennifer D. Goss (Lewisville, TX)
Assignee: SIKORSKY AIRCRAFT CORPORATION
G05D1/0676B64C27/00G05B13/04G05D1/00G05D1/0607G05D1/0684
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Quick Facts
Patent No.
US 9,429,952
App. No.
14/245,036
Granted
Aug 30, 2016
Kind
B2
Abstract

A method and system of controlling a rotorcraft for sea-based operations includes receiving sensed information indicative of an operation of the rotorcraft; receiving operator commands, ship models and system constraints; and determining a solution to an optimization function that avoids violating the system constraints, the solution being representative of control command signals for augmenting a flight response of the rotorcraft to a ship.

Claims (27)

1. A method of controlling a rotorcraft for sea-based operations, comprising:

receiving, with a processor, sensed information indicative of an operation of the rotorcraft;

receiving, with the processor, operator commands, ship models and system constraints including relative velocity limits between the ship and the rotorcraft, accuracy of a landing position on the ship, landing gear structural integrity, sink rate of the rotorcraft, and impact velocity of the rotorcraft on the ship;

determining, with a model predictive control (MPC) prediction module that employs a model based feedforward control utilizing a prediction algorithm, a solution to an optimization function that avoids violating the system constraints, the solution being representative of control command signals for augmenting a flight response of the rotorcraft to a ship;

determining, with the processor, a solution to continuously update the system constraints that optimize a cost function utilizing MPC theory; and

commanding the displacement of servos and linkages for controlling said rotorcraft.

2. The method of claim 1 , wherein the optimization function includes mathematical terms for command tracking errors and control of an actuator that is associated with the rotorcraft.

3. The method of claim 1 , wherein the receiving of the sensed information further comprises receiving at least one of angular rate, attitude response, and acceleration rate for the rotorcraft.

4. The method of claim 1 , further comprising determining at least one of a relative position and motion between the ship and the rotorcraft.

5. The method of claim 1 , wherein the ship models further comprises a ship airwake model and a ship motion model.

6. The method of claim 5 , wherein the ship airwake model comprises a model of an air flow field surrounding the ship.

7. The method of claim 5 , wherein the ship motion model comprises a model of a response of the ship advancing at constant forward speed.

8. A control system of a rotorcraft during sea-based operations, comprising:

rotors, each rotor comprising a plurality of blades;

a processor; and

memory having instructions stored thereon that, when executed by the processor, cause the system to:

receive, with the processor, sensed information indicative of an operation of the rotorcraft;

receive, with the processor, operator commands, ship models and system constraints including relative velocity limits between the ship and the rotorcraft, accuracy of a landing position on the ship, landing gear structural integrity, sink rate of the rotorcraft, and impact velocity of the rotorcraft on the ship;

determine, with a model predictive control (MPC) prediction module that employs a model based feedforward control utilizing a prediction algorithm, a solution to an optimization function that avoids violating the system constraints, the solution being representative of control command signals for controlling the rotors of the rotorcraft approaching a ship;

determine, with the processor, a solution to continuously update the system constraints that optimize a cost function utilizing MPC theory; and

command the displacement of servos and linkages for controlling said rotorcraft.

9. The control system of claim 8 , wherein the optimization function includes mathematical terms for command tracking errors and control of at least one actuator that is associated with the rotors.

10. The control system of claim 8 , wherein the processor is configured to receive at least one of angular rate, attitude response, and acceleration rate for the rotorcraft.

11. The control system of claim 8 , wherein the processor is configured to determine at least one of a relative position and motion between the ship and the rotorcraft.

12. The control system of claim 8 , wherein the ship models further comprises a ship airwake model and a ship motion model.

13. The control system of claim 12 , wherein the ship airwake model comprises a model of an air flow field surrounding the ship.

14. The control system of claim 12 , wherein the ship motion model comprises a model of a response of the ship advancing at constant forward speed.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 4, 2014
From: GEIGER, DEREK; RIGSBY, JAMES; GREENFIELD, AARON L.; SAHASRABUDHE, VINEET; GOSS, JENNIFER D.
To: SIKORSKY AIRCRAFT CORPORATION
Reel/Frame 032601/0730 →
Continuity (1)
Related Publication 20150286220A1 · Oct 8, 2015