None.
The present disclosure relates to fiber optic sensors and, in particular, fiber optic air temperature and air data sensors.
Accurately measuring air properties, including air temperature and air density, can be valuable in numerous applications. For example, these properties can be used in connection with measuring the wind profile (e.g., speed, velocity, and direction) around a moving aircraft. Computing Mach speeds is inaccurate with imprecise air temperature measurement. Likewise, contemporary measurement devices are imprecise aircraft pressure altitude.
While contemporary air property measurement devices are available, they suffer from several limitations, restrictions, and inefficiencies. Simple devices lack precision and can be slow to generate data, particularly where data must be converted and transmitted to other devices for use. Static air pressure ports experience inaccuracies from airflow disturbances caused by air currents and turbulence, icing, and changes in port orientation relative to airflow, such as during changes in aircraft attitude (i.e., the orientation relative to the ground). Complex devices are large, heavy, often involve moving parts, and require considerable power for operation. Such devices are ideal for, given the space, weight, and power constraints of most aircraft.
Furthermore, conventional approaches do not provide reliable systems and methods for making air data measurements at a sample location at a sufficient distance from the aircraft or any physical attachments thereto such that the measurement will not be subject to systemic errors of a sort that cannot always be fully compensated for such as those caused by air compression effects and airflow disturbances.
What is needed is an air property measurement solution with few (if any) moving parts, compact and lightweight in design, and low power requirements, yet still generates highly accurate and real-time data.
Air property measurement (e.g., air temperature, air density, etc.) sensors may take the form of an all-fiber-optic device employing Rotational Raman light detection and ranging technology. Not only do the fiber optic devices described herein require no moving parts, but also these devices may be compact in design and require less power to operate as compared to conventional apparatus. As a result, embodiments may be used in applications in which physical space and power demands may be limited, such as in aircraft. Further, embodiments of the present approach advantageously provide a more precise computation of Mach speeds, which rely on highly accurate and precise air temperature measurements. Embodiments of the present approach also provide an accurate measurement of temperature and air density that allows for the computation of aircraft pressure altitude accurately and in real time, which alleviates stringent and expensive (both in time and cost) reduced vertical separation minimum (RVSM) requirements.
Embodiments of the present approach may take the form of a fiber optic air property measurement sensor. Fiber optic air property measurement sensors as described herein may have components in fiber optic communication, e.g., connected through fiber optic connectors such as fiber optic cables as are known in the art. Embodiments may include an all-fiber optic laser source configured to emit laser light into air that generates backscattered light. In some embodiments, the laser source may be configured to operate in a master oscillator power amplifier configuration. In some embodiments the laser source further may include an optical modulator configured to modulate light at a rate of about 100 Hz to about 50 kHz. Embodiments of the laser may also include at least one optical fiber amplifier, and in some embodiments the laser source may be down-converted through a non-linear crystal (e.g., lithium triborate crystals) in fiber optic communication with the laser source.
The laser source may be in fiber optic communication with an optical transceiver assembly configured to collect at least a portion of the backscattered light. For example, the laser source may be configured to emit light at a wavelength of about 1064 nm. The optical transceiver assembly may be in fiber optic communication with a receiver to receive the backscattered light along a return signal path and measure backscattered light intensity. Embodiments may feature a return signal path having at least a first optical filter channel and a second optical filter channel, and in some embodiments, each optical filter channel may be configured to filter different spectral portions of the backscattered light to a photoreceiver in fiber optic communication with the optical filter channel. It should be appreciated that embodiments may include one or more computer processing units programmed to measure backscattered light intensity at a photoreceiver, and calculate at least one of air temperature, molecular number density, and air pressure, according to computational methods as are known in the art and described herein.
Optical transceiver assemblies under the present approach may be bistatic or multi-static. Embodiments of the optical transceiver assembly may include a transmitter telescope and at least one receiver telescope, which may be aligned to provide an overlapping field of view at a desired measurement range. In some embodiments, the desired range may be from about 1 m to about 10 m, and more advantageously from about 1 m to about 2 m, from the optical transceiver assembly. Receiver telescopes in some embodiments may include at least one optical bandpass filter configured to pass backscattered light within a desired wavelength into the receiver telescope. In embodiments with multiple receiver telescopes, each receiver telescope may measure backscattered light intensities at a unique wavelength range (e.g., minimal or no overlap in wavelength range between receiver telescopes).
In some embodiments, the fiber optic air property measurement sensor may be housed in a housing telescope. A housing telescope allows for easy transport and installation of the sensor. In some embodiments, however, various components may be housed in separate housing telescopes. Embodiments having separate housing telescopes may feature fiber optic communication between housing telescopes.
Those of ordinary skill in the art should appreciate that numerous variations may be made to the embodiments disclosed herein without departing from the present approach.
The present approach provides novel techniques and designs for fiber optic air temperature and air density sensors. This disclosure assumes a level of understanding with respect to Rotational Raman light detection and ranging (LIDAR) technology. Some embodiments take the form of all-fiber optic sensors. Some embodiments may be configured for molecular number density measurements. In preferred embodiments, a rotational LIDAR technique is implemented in an all-fiber optic arrangement. Advantageously, the arrangement may have no moving parts.
During operation, laser source 10 emits light ahead of the system. The emitted laser light interacts with molecules in air (e.g., oxygen and nitrogen). These interactions cause the emitted laser light to scatter. The interaction generates a pure rotational Raman (RR) spectrum within the laser light that is scattered back toward the telescope. The optical transceiver assembly 30 collects a portion of the backscattered light and directs the collected backscattered light to receiver 40. The system may include two or more optical filter channels (not shown) along the return signal path 22. The optical filter channels may be used to extract different spectral portions of the anti-stokes side of the Raman backscatter. The intensity measurement made at the receiver 40 along each of the optical filter channels provides information from which a computer processing unit (not shown) may derive air property measurements, including air temperature, molecular number density, and air pressure. The signal processor 50 may include at least two or more analog-to-digital converters (ADCs) that convert the intensities measured by the receiver assembly 40 into digital voltages for deriving air property measurements.
Each receiver telescope 320 may include one or more optical bandpass filters in the beam path such that only light at the desired wavelengths or within a desired wavelength range passes into the receiver 320. This allows the system to measure intensities at only the wavelengths of consequence, reducing noise and other potentially interfering signals. Additionally, different receiver telescopes 320 may be configured to measure intensities at different wavelength ranges, providing additional data to support various measurement techniques. For example, certain measurement techniques such as described below derive various air properties (e.g., air density) using the ratio of intensities.
Embodiments may be configured to derive various air property measurements from the measured signal intensities at the receiver assembly 40. Embodiments may include one or more computer processing units that may be configured to execute programs for deriving one or more air property measurements. The programs may employ various calculation methods to derive an air property measurement. For example, in embodiments featuring at least two photoreceivers 420a-420c, the intensity ratio of these two pure rotational Raman signals:
is a measure of the ambient temperature. In this equation, T is the air temperature and N is the molecular number density.
The calibrated air temperature, Tcalib, may be obtained by calibrating Q with the function:
where C′1, C′2, and C′3 are temperature calibration coefficients.
In the case of molecular number density, the parameter S (T, N) is defined which is directly proportional to the air density:
S(N)=(URR1(T,N)+C1URR2(T,N))·(1+C2Q(T)+C3Q2(T))
where C1, C2, and C3 are obtained via a least square fit in such a way that S varies by less than 0.03% with temperature. Because the rotational Raman spectrum is primarily made up of O2 and N2 lines, contributions from other molecular gases, including water vapor, are almost negligible. However, it should be understood that some embodiments may include corrective factors for such contributions. Effectively, the parameter S is related to the density of dry air, Ncalib, as:
NCALIB=α·S
where α is a proportionality factor that may be corrected for atmospheric extinction.
It should be appreciated that alternative methods may be used to calculate one or more air property measurements using the measured signal intensities at the receiver assembly 40. The scope of this disclosure is therefore not limited to calculations based on the mathematical relationships described herein.
Embodiments of the present approach may be incorporated into other sensor systems. For example, embodiments of the present approach may be included in systems for detecting aircraft position, such as is disclosed in U.S. Pat. No. 7,898,435, which is incorporated by reference in its entirety. As another example, embodiments of the present approach may be included in optical air data sensory systems, such as those disclosed in U.S. Pat. Nos. 8,508,723 and 8,908,160, which are incorporated by reference in its entirety. As a further example, embodiments of the present approach may be included in laser Doppler velocimeters, such as those disclosed in U.S. Pat. Nos. 5,272,513, 6,141,086, 7,068,355, 7,206,064, 8,508,722, 8,879,051, which are incorporated by reference in their entirety. Embodiments of the present approach may also be included in LIDAR systems, such as those disclosed in U.S. Pat. Nos. 8,930,049 and 9,026,278, which are incorporated by reference in its entirety.
As will be appreciated by one of skill in the art, aspects or portions of the present approach may be embodied as a method, system, and at least in part, on a computer readable medium. Accordingly, the present approach may take the form of combination of hardware and software embodiments (including firmware, resident software, micro-code, etc.) or an embodiment combining software and hardware aspects that may all generally be referred to herein as a “circuit,” “module” or “system.” For example, measurements and subsequent calculations can be automated, using one or more software modules to characterize the device, record resistance changes, calculate deflections, calculate device temperature, and/or calculate rate of heat accumulation or exchange. Furthermore, the present approach may in part take the form of a computer program product on a computer readable medium having computer-usable program code embodied in the medium. The present approach might also take the form of a combination of such a computer program product with one or more devices, such as a modular sensor, systems relating to communications, control, an integrate remote control component, etc.
Any suitable non-transitory computer readable medium may be utilized. The computer-usable or computer-readable medium may be, for example but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, device, or propagation medium. More specific examples (a non-exhaustive list) of the non-transitory computer-readable medium would include the following: a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a device accessed via a network, such as the Internet or an intranet, or a magnetic storage device. Note that the computer-usable or computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted, or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory. In the context of this document, a computer-usable or computer-readable medium may be any non-transitory medium that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
Computer program code for carrying out operations of the present approach may be written in an object oriented programming language such as Java, C++, etc. However, the computer program code for carrying out operations of the present approach may also be written in conventional procedural programming languages, such as the “C” programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through a local area network (LAN) or a wide area network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet Service Provider).
The present approach may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the claims of the application rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.
This application claims the benefit of U.S. Provisional Application No. 62/334,140, filed May 10, 2016, which is incorporated by reference in its entirety.
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