Determining likelihood of failure of an aerial vehicle
AssigneeLoon LLC
InventorsAnselm Lau, Derek Herbert
Life of this patent
Estimating the term…
Abstract
Aspects of the disclosure provide methods for determining a likelihood of failure of an aerial vehicle. In one instance, the method may include receiving a first rotation rate of an impeller of an altitude control system of the aerial vehicle. A model may be used to determine a second impeller rotation rate, wherein the second rotation rate is an idealized impeller rotation rate. The first rotation rate may be compared to the second rotation rate. Based on the comparison, the likelihood of failure may be determined.
Claims20
A method for determining a likelihood of failure of an aerial vehicle, the method comprising:
- receiving, by one or more processors, a first rotation rate of an impeller of an altitude control system of the aerial vehicle;
- using, by one or more processors, a model to determine a second rotation rate, wherein the second rotation rate is an idealized impeller rotation rate;
- comparing, by one or more processors, the first rotation rate to the second rotation rate;
- and
- determining, by one or more processors, the likelihood of failure of the aerial vehicle based on the comparison.
A method of training a model for determining an ideal impeller rotation rate for an impeller of an altitude control system of an aerial vehicle, the method comprising:
- receiving, by one or more processors, training data, the training data including training inputs including input power to a motor controller of an altitude control system of a first aerial vehicle, a pressure ratio between an inlet and an outlet of a compressor of the altitude control system of the first aerial vehicle, back pressure on the impeller from an envelope of the first aerial vehicle, ambient temperature inside of the envelope of the first aerial vehicle, and the training data further including a training output including a rotation rate of the impeller of the first aerial vehicle, and wherein the training data was collected during a particular descent cycle of the first aerial vehicle;
- and
- training the model using the training data.
A method of training a model for determining an ideal shroud temperature for an impeller of an altitude control system of an aerial vehicle, the method comprising:
- receiving, by one or more processors, training data, the training data including training inputs including input power to a motor controller of an altitude control system of a first aerial vehicle, a pressure ratio between an inlet and an outlet of a compressor of the altitude control system of the first aerial vehicle, backpressure on the impeller from an envelope of the first aerial vehicle, ambient temperature inside of the envelope of the first aerial vehicle, and the training data further including a training output including a shroud temperature of a compressor of the first aerial vehicle, and wherein the training data was collected during a particular descent cycle of the first aerial vehicle;
- and
- training the model using the training data.
Dependencies are inferred from the claim text.