Life improving flight control system
US-9102399-B2 · Aug 11, 2015 · US
US10267669B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10267669-B2 |
| Application number | US-201414225659-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 26, 2014 |
| Priority date | Mar 26, 2014 |
| Publication date | Apr 23, 2019 |
| Grant date | Apr 23, 2019 |
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Embodiments are directed to obtaining data from at least one sensor, the data pertaining to rotor loads and motion, processing, by a device comprising a processor, the data to obtain an estimate of at least one of gross weight (GW) and center of gravity (CG) for a rotorcraft, and outputting the estimate.
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What is claimed is: 1. A method comprising: obtaining data from at least one sensor disposed in a rotor blade of a rotorcraft at a plurality of rotor azimuth positions for a revolution of the rotor blade, the data pertaining to rotor loads and motion on the rotor blade; processing, by a device comprising a processor, the data to obtain an estimate of at least one of gross weight (GW) and center of gravity (CG) for the rotorcraft, wherein processing the data comprises: concatenating rotor loads and motion waveforms from the plurality of rotor azimuth positions over one rotor revolution to obtain a vector, multiplying the vector by a low rank matrix to reduce a rank of the vector; and relating the reduced vector to a vector representing a state of the rotorcraft to obtain the estimate; determining a linear relation between the state of the rotorcraft and a perturbation in the rotor blade; and controlling an aircraft state variable based on the determined linear relation between the state of the rotorcraft and rotor blade perturbations in order to control a rotor blade perturbation. 2. The method of claim 1 , wherein the processing is performed to obtain an estimate of both GW and CG for the rotorcraft. 3. The method of claim 1 , wherein the data is based on multiple rotor revolutions. 4. The method of claim 1 , wherein the estimate is based on an application of a matrix completion technique to reconstruct missing data. 5. The method of claim 1 , wherein a principal component analysis technique is applied to analyze and estimate rotor loads and motion in obtaining the estimate. 6. The method of claim 1 , wherein a principal component pursuit technique is applied to analyze and estimate rotor loads and motion in obtaining the estimate. 7. The method of claim 1 , wherein a nuclear-norm regularized multivariate linear regression technique is applied to analyze and estimate rotor loads and motion in obtaining the estimate. 8. An apparatus comprising: at least one processor; and memory having instructions stored thereon that, when executed by the at least one processor, cause the apparatus to: obtain data from at least one sensor disposed in a rotor blade of a rotorcraft at a plurality of rotor azimuth positions for a revolution of the rotor blade, the data pertaining to rotor loads and motion on the rotor blade; process the data to obtain an estimate of at least one of gross weight (GW) and center of gravity (CG) for the rotorcraft wherein processing the data comprises: concatenate rotor loads and motion waveforms from the plurality of rotor azimuth positions over one rotor revolution to obtain a vector, multiply the vector by a low rank matrix to reduce a rank of the vector; and relate the reduced vector to a vector representing a state of the rotorcraft to obtain the estimate; determine a linear relation between the state rotorcraft and a perturbation in the rotor blade; and control an aircraft state variable based on the determined linear relation between the state of the rotorcraft and rotor blade perturbations in order to control a rotor blade perturbation. 9. The apparatus of claim 8 , wherein the instructions, when executed by the at least one processor, cause the apparatus to: process the data to obtain an estimate of both GW and CG for the rotorcraft. 10. The apparatus of claim 8 , wherein the data is based on multiple rotor revolutions. 11. The apparatus of claim 8 , wherein the estimate is based on an application of a numerical technique to analyze and estimate rotor loads and motion. 12. A rotorcraft comprising: a plurality of sensors disposed in a rotor blade of the rotorcraft configured to obtain data pertaining to rotor loads and motion on the rotor blade; an analysis unit configured to: receive the data from the plurality of sensors, wherein the data is obtained at a plurality of rotor azimuth positions for a revolution of the rotor blade; process the data to obtain an estimate of gross weight (GW) and center of gravity (CG) for the rotorcraft, wherein processing the data comprises: concatenating rotor loads and motion waveforms from the plurality of rotor azimuth positions over one rotor revolution to obtain a vector, multiplying the vector by a low rank matrix to reduce a rank of the vector; and relating the reduced vector to a vector representing a state of the rotorcraft to obtain the estimate; determining a linear relation between the state of the rotorcraft and a perturbation in the rotor blade; and control an aircraft state variable based on the determined linear relation between the state of the rotorcraft and rotor blade perturbations in order to control a rotor blade perturbation. 13. The rotorcraft of claim 12 , wherein the analysis unit is configured to receive the data wirelessly. 14. The rotorcraft of claim 12 , wherein the analysis unit is configured to detect and isolate faults based on a processing of the data. 15. The rotorcraft of claim 14 , wherein the faults comprise faults associated with the sensors. 16. The rotorcraft of claim 14 , wherein the faults comprise faults associated with a rotor system structure. 17. The rotorcraft of claim 12 , wherein the analysis unit is configured to process the data based on coefficients for perturbation modes to reconstruct the rotor loads and motion.
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