Honeywell International Inc.

Xiao Zhu Fan

Matthew Wiebold

Grant Lodden

Lee R Wienkes

Jason Garde

Timothy A Peterson

Danny Thomas Kimmel

Brett Gordon Northcutt

Jane Pavlich

David Michael Zuk

David Keith Johnson

Dominique Claire Fourguette

Earl Thomas Benser

Stanley Robert Hodge

Brett Gorrdon Northcutt

David Johnson

David Zuk

A system includes a light detection and ranging (LiDAR) unit comprising an atmospheric characterization transceiver module. The LiDAR unit is configured to transmit light into an external interaction air region, and collect scattered portions of the transmitted light from the external interaction air region. A robotic arm is operatively coupled to the atmospheric characterization transceiver module. A processor is in operative communication with the robotic arm. The processor is configured to control the robotic arm to position and point the atmospheric characterization transceiver module in a direction of interest to interrogate the external interaction air region.

System and method for using an industrial manipulator for atmospheric characterization lidar optics positioning

In an embodiment, a method is provided. The method comprises selecting at least one set of line of sight (LOS) vectors oriented in one or more directions outward from a vehicle; determining at least one air data solution based on the at least one set of LOS vectors; adjusting at least one value of an air vector equation based on a predetermined quantity; upon adjusting the at least one value, then determining at least one modified air data solution, wherein the at least one modified air data solution is determined based on the at least one set of LOS vectors and the at least one value; and comparing a difference between the at least one air data solution and the at least one modified air data solution to a threshold value, wherein the threshold value is indicative of error with respect to the at least one set of LOS vectors.

Vector air data dynamic constraining and self-checking systems and methods

An air data system comprises a light source that emits a pulsed beam, and an optical transceiver coupled to the light source and configured to receive the pulsed beam. The transceiver is operative to transmit the pulsed beam into an interrogation air region; and receive and collect scattered pulses from the interrogation air region. An optical modulation device is coupled to the transceiver, and is configured to receive the collected scattered pulses from the transceiver and output modulated pulses. An optical detector is coupled to the modulation device and receives the modulated pulses from the modulation device. The modulation device has a nanosecond-based rise/fall time that is synchronized and delayed with respect to the pulsed beam. The modulation device provides for stroboscopic detection of a volume of the interrogation air region based on the modulated pulses received by the detector and having an exposure time of multiple pulse periods.

Air data system with optical modulator on receive channels for stroboscopic detection

A system comprises an optical air data system that measures aerosol and molecular scattering of light, and an optical instrument that measures aerosol and/or molecular scattering of light. A processor receives data from the air data system and from the optical instrument. The processor performs one or more signal analysis and data fusion methods comprising: (a) determining aerosol and/or molecular concentration from the received data, modifying a data analysis algorithm to optimize any remaining unknown parameters, and outputting enhanced air data parameters; (b) determining aerosol concentration from the received data, dynamically optimizing hardware settings in the air data system to enhance a signal level and avoid system saturation, and outputting enhanced air data parameters; or (c) determining aerosol and/or molecular concentration from the received data, estimating a confidence level of an air data algorithm, verifying optical health of the air data system, and reporting the optical health to a user.

Optical air data system fusion with remote atmospheric sensing

A system comprises a particle sensor unit in communication with a processor. The sensor unit comprises a source that transmits light into an interrogation region; receive optics that collect scattered light from particles in the interrogation region; and an optical detector that receives the collected light from the receive optics. The detector comprises a sample area including one or more sampling pixels, and an edge region including one or more edge pixels. The processor analyzes intensity data from the detector by a method comprising: combining all intensity data from the sampling pixels; adding the combined intensity data to a data set; determining whether to accept overlap intensity data that corresponds to an overlap between the sampling pixels and the edge pixels; adding the overlap intensity data to the data set if accepted; discarding the overlap intensity data if not accepted; and discarding all non-overlapping intensity data from the edge pixels.

Particle sensor sample area qualification without a physical slit

A system comprises a particle sensor assembly, which includes a light source that transmits a light beam into an external interrogation air region; a set of receive optics that provides a receive channel, the receive optics configured to collect a scattered portion of the light beam from a particle in the interrogation air region; and an optical detector that receives the collected scattered portion. The optical detector measures a signal intensity as a function of time from the scattered portion, with the signal intensity indicating a particle size and a signal duration indicating motion of the particle through the interrogation air region. A processor is in communication with the optical detector and is operative to determine a transit time of the particle through the interrogation air region based on the signal duration, and compute an airspeed based on parameters comprising the transit time and a size of the light beam.

System and method for deriving airspeed from a particle sensor

A sensor assembly comprises a device mounted on a surface of a vehicle and extending through at least one passage in the surface of the vehicle, and a sensor comprising a short range particulate (SRP) sensor, or a light detection and ranging (LiDAR) air data sensor. The sensor is co-located and integrated with the device mounted on the surface of the vehicle. No additional passages through the surface of the vehicle are needed to integrate the sensor with the device.

Co-location of airborne atmospheric particulate sensing with aircraft lighting

In one embodiment, a system includes a vehicle and a laser air data sensor, including a laser transceiver configured to transmit one or more laser light beams, mounted to the vehicle. In some embodiments, a window of the laser transceiver is fixed and oriented to transmit one or more laser light beams away from the vehicle and approximately parallel to a vertical axis of the vehicle. In some embodiments, a window of the laser transceiver is fixed and oriented to transmit one or more laser light beams toward another portion of the vehicle. In some embodiments, the system further includes a processing device configured to control the laser air data sensor to attenuate the one or more laser light beams based on one or more operating parameters of the vehicle.

Laser air data sensor mounting and operation for eye safety

A particle detection system is provided. The particle detection system comprises at least one transmitter; at least one receiver; a first interrogation volume formed by a first intersection of a first pair of a transmitter beam of a transmitter and a receiver field of view of a receiver; and a second interrogation volume formed by a second intersection of a second pair of a transmitter beam of a transmitter and a receiver field of view of a receiver.

Apparatus and method for increasing dynamic range of a particle sensor

A system for obtaining air data for a vehicle comprises a laser device that emits laser light pulses, and transmit optics that transmits the light pulses into an external air volume adjacent to the vehicle. The system also includes receive optics that collects scattered portions of the light pulses from the external air volume, and a whispering gallery mode (WGM) frequency discriminator that receives the scattered portions of the light pulses from the receive optics. The WGM frequency discriminator includes at least one WGM resonator that outputs a selected portion of the light pulses at one or more optical signal frequencies via tuning the WGM resonator other than by an electro-optic effect. An optical detector samples the selected portion of the light pulses from the WGM frequency discriminator, and converts the sampled light pulses to scalar values. A processing unit receives and records the scalar values from the optical detector.

Whispering gallery mode based range-resolved air data system

In one embodiment, a method of determining the onset of a stall condition in a vehicle is provided. The method comprises: measuring, with a stall detection system, data which would indicate the presence of turbulent fluid flowing proximate to a foil; determining from the data whether an onset of a stall condition has occurred; and upon determining the onset of the stall condition, performing at least one of: issuing an alert, and causing the vehicle to avoid or exit the stall condition, and cease such activity when the onset of the stall condition no longer exists.

Apparatus and method for detecting stall condition

A method of enhancing LiDAR data is provided. The method includes inputting LiDAR data from at least one LiDAR sensor; inputting data from at least one of: at least one static pressure sensor; and at least one total air temperature sensor; and extracting accurate air data parameters by processing one of: the LiDAR data and static pressure data from the static pressure sensor; the LiDAR data and true temperature data from the total air temperature sensor; or the LiDAR data, the static pressure data from the static pressure sensor, and the true temperature data from the total air temperature sensor. The method also includes generating augmented air data based on the extracted accurate air data parameters and outputting the augmented air data.

Enhanced LiDAR air data using supplementary sensor outputs

A system for multispectral imaging and ranging is provided. The system comprises at least one light illumination source, and a focal plane detector array configured to support both passive imaging and active imaging at multiple wavelengths. The focal plane detector array includes a plurality of pixels, wherein each of the pixels comprises a plurality of detectors. The detectors are configured to collect passive light to support passive imaging; collect retro-reflected light, transmitted by the at least one light illumination source, to support active illuminated imaging; and collect retro-reflected light, transmitted by the at least one light illumination source, to support active illuminated ranging.

Chip scale multispectral imaging and ranging

A method of fabricating three-dimensional (3D) structures comprises forming a patterned area in a handle wafer, and bonding a mold wafer over the patterned area to produce one or more sealed cavities having a first pressure in the handle wafer. The mold wafer is heated past its softening point at a second pressure different from the first pressure to create a differential pressure across the mold wafer over the sealed cavities. The mold wafer is then cooled to harden the mold wafer into one or more 3D shapes over the sealed cavities. One or more materials are deposited on an outer surface of the mold wafer over the 3D shapes to form a structure layer having 3D structures that conform to the hardened 3D shapes of the mold wafer. The 3D structures are then bonded to a device wafer, and the handle wafer is removed to expose the 3D structures.

Growing community of inventors

Plymouth, MN, United States of America

Xiao Zhu Fan