Multi-function air data probes using neural network for sideslip compensation

• US 6,604,029 B2
• Filed: 05/08/2001
• Issued: 08/05/2003
• Est. Priority Date: 05/08/2001
• Status: Expired due to Term

• Current Assignee: Rosemount Aerospace, Inc. (Rtx Corporation)
• Original Assignee: Rosemount Aerospace, Inc. (Rtx Corporation)
• Inventors: Cronin, Dennis J., Foster, Roger D.
• Primary Examiner(s): Nguyen, Tan Q.
• Assistant Examiner(s): Tran, Dalena
• Application Number:
  US09/851,289
• Publication Number:
  US 20020169525A1
• Time in Patent Office: 819 Days
• Field of Search: 701/6, 701/7, 701/14, 701/5, 701/220, 703/2, 700/89, 702/150, 702/138, 702/144, 706/16, 706/17, 706/21, 244/177, 738/616.6, 731/82, 731/80, 738/616.5
• US Class Current: 701/6
• CPC Class Codes: B64D 43/02 for indicating aircraft speed or stalling conditions
• CPC Class Codes: G01P 13/025 indicating air data, i.e. flight variables of an aircraft, e.g. angle of attack, side slip, shear, yaw
• CPC Class Codes: G05B 13/027 using neural networks only

Abstract

An air data sensing probe such as a multi-function probe includes a barrel having multiple pressure sensing ports for sensing multiple pressures. Instrumentation coupled to the pressure sensing ports provides electrical signals indicative of the pressures. An inertial navigation system input of the probe receives electrical signals indicative of inertial navigation data for the aircraft. A neural network of the probe receives as inputs the electrical signals indicative of the multiple pressures and the electrical signals indicative of the inertial navigation data. The neural network is trained or configured to provide as an output, electrical signals indicative of an air data parameter.

Claims

1. An air data sensing probe comprising:

a barrel having a plurality of pressure sensing ports for sensing a plurality of pressures;

instrumentation coupled to the plurality of pressure sensing ports for providing electrical signals indicative of the plurality of pressures;

an inertial navigation system input for receiving electrical signals indicative of inertial navigation data for the aircraft; and

a neural network coupled to the instrumentation and the inertial navigation system input, the neural network configured to receive as inputs the electrical signals indicative of the plurality of pressures and the electrical signals indicative of the inertial navigation data, and in response the neural network configured to provide as an output electrical signals indicative of an air data parameter.

2. The air data sensing probe of claim 1, wherein the plurality of pressure sensing ports on the barrel include first and second angle of attack sensing ports for sensing first and second angle of attack pressures Pα

₁ and Pα

₂, respectively, and wherein the electrical signals indicative of the plurality of pressures include electrical signals indicative of the first and second angles of attack pressures Pα

₁ and Pα

₂.

3. The air data sensing probe of claim 2, wherein the plurality of sensing ports on the barrel include a pitot sensing port for sensing a pitot pressure P_t, and wherein the electrical signals indicative of the plurality of pressures include electrical signals indicative of the pitot pressure P_t.

4. The air data sensing probe of claim 3, wherein the electrical signals indicative of inertial navigation data for the aircraft include electrical signals indicative of inertial yaw angle Y_i of the aircraft, and thereby indicative of an aircraft angle of sideslip β

.

5. The air data sensing probe of claim 3, wherein the electrical signals indicative of inertial navigation data for the aircraft include electrical signals indicative of inertial angle rate information of the aircraft, and thereby indicative of an aircraft angle of sideslip β

.

6. The air data sensing probe of claim 3, wherein the neural network is configured to provide as the output electrical signals indicative of a global Mach number M for the aircraft.

7. The air data sensing probe of claim 3, wherein the neural network is configured to provide as the output electrical signals indicative of an aircraft angle of attack.

8. The air data sensing probe of claim 3, wherein the neural network is configured to provide as the output electrical signals indicative of an aircraft angle of sideslip.

9. The air data sensing probe of claim 3, wherein the neural network is configured to provide as the output electrical signals indicative of true static pressure.

10. The air data sensing probe of claim 3, wherein the neural network is configured to provide as the output electrical signals indicative of altitude rate information.