The disclosure relates generally to aircraft, and more particularly to a system and method for selecting and ranking accuracies of pressure altitude sensing devices of an aircraft operating in a Reduced Vertical Separation Minima (RVSM) airspace.
Operating regulations require that the airplane operating into Reduced Vertical Separation Minima (RVSM) airspace be capable of maintaining an altitude within a maximum deviation of 200 ft from a target value. The pilot is usually responsible to select an altitude source from the multiple sources available. RVSM requirements typically require a minimum of two independent sources. As there is typically no way of knowing which source the pilot will use, when the RVSM analysis is done, one must assume that the most adverse conditions apply to the selected air data probe.
Airplane manufacturers can carry out an analysis of all possible sources of errors on the probes, performs a ‘root sum square’ of all the errors and must demonstrate that the airplane, no matter which air data probe is selected, will remain within the 200 ft tolerance. The errors are typically larger at higher Mach numbers (close to Mach 1.0).
There is therefore a need to improve accuracy of air data systems at higher Mach numbers and allow faster cruise speed while remaining compliant with RVSM requirements.
In one aspect, the disclosure describes method for selecting and ranking accuracies of a plurality of pressure altitude sensing devices of an aircraft operating in a Reduced Vertical Separation Minima (RVSM) airspace, and displaying readings of said pressure altitude sensing devices. The method comprises:
The method may comprise the step of:
calculating an error tolerance associated with an overall altimetry system error based only on a highest ranking pressure altitude sensing device of the plurality of pressure altitude sensing devices.
The steps of comparing, ranking and prioritizing may be done at a predetermined frequency.
The frequency can be between 0.5 and 1.5 Hz.
The pressure altitude sensing devices can include air data probes.
In some embodiments of the method, the pressure altitude sensing devices can include four air data probes distributed over a surface of a nose of the aircraft.
In some embodiments of the method, the aircraft sensors other than the plurality of pressure altitude sensing devices comprise GPS signal receivers.
In some embodiments of the method, the plurality of cockpit displays comprises a pair of primary flight displays and an integrated standby instrument.
In another aspect, the disclosure describes a system for selecting and ranking accuracies of a plurality of pressure altitude sensing devices of an aircraft operating in a Reduced Vertical Separation Minima (RVSM) airspace, and displaying readings of said pressure altitude sensing devices, the system comprising:
The programming code may be further configured to calculate an error tolerance associated with an overall altimetry system error based only on a highest ranking pressure altitude sensing device of the plurality of pressure altitude sensing devices.
The programming code may be further configured to compare, rank and prioritize at a predetermined frequency.
In some embodiments of the system, the frequency is between 0.5 and 1.5 Hz.
In some embodiments of the system, the pressure altitude sensing devices comprise air data probes.
In some embodiments of the system, the pressure altitude sensing devices comprise four air data probes distributed over a surface of a nose of the aircraft.
In some embodiments of the system, the aircraft sensors other than the plurality of pressure altitude sensing devices comprise GPS signal receivers.
In some embodiments of the system, the plurality of cockpit displays comprises a pair of primary flight displays and an integrated standby instrument.
In another aspect, the disclosure describes a non-transitory computer readable medium including instructions to command a processor to:
The instructions can further calculate an error tolerance associated with an overall altimetry system error based only on a highest ranking pressure altitude sensing device of the plurality of pressure altitude sensing devices.
The instructions can further compare, rank and prioritize at a predetermined frequency.
Embodiments can include combinations of the above features.
Further details of these and other aspects of the subject matter of this application will be apparent from the detailed description included below and the drawings.
Reference is now made to the accompanying drawings, in which:
The following disclosure relates to a system and method for carrying out an automatic selection of the best air data source (through a voting scheme) for determining aircraft altitude and present that information to the pilot. Once this is done, statistical analysis can be done to look at the ‘root mean square’ (RMS) of the possible errors to ensure the airplane remains within the 200 ft maximum tolerance of RVSM requirements. The root mean square-based variability should be smaller compared to a variability derived from a root sum square method based on all of the sensing devices, since the RMS method is limited to one sensing device instead of all the devices. Such a system and method can help improve altitude determination accuracy at higher Mach numbers and allow faster cruise speed while remaining compliant to RVSM requirements.
Aspects of various embodiments are described through reference to the drawings.
The reference altitude value (Golden value as shown in the figures) is calculated internally by the Fly-By-Wire system, or PFCC, and represents the truest altimetric value in relation to the sensing provided by the aircraft systems. The aircraft systems that provide inputs for generating the reference altitude value can include, for example a Global Positioning System (GPS). The reference altitude can also be derived from temperature based synthetic pressure computation systems or similar systems for example, such as those described in US patent US 6757624. The reference altitude value is transmitted to the avionics suite. The avionics suite can then compare this reference altitude or Golden value against actual individual Air Data System Probe data. By simple arithmetic, the avionics will determine which ADSP is closest to the Golden Value. This ADSP is then selected as Best Source 1 (BS1). The 2nd best is Best Source 2 (BS2); and so forth for all 4 sources, as shown in
The method 100 further comprises steps of prioritizing display of the pressure altitudes based on the above-described ranking, and displaying at least a portion of said pressure altitudes on a plurality of cockpit displays in accordance with the prioritization. A display module within the avionics suite associates the air data sources to different displays as shown in
Computer 84 can comprise one or more data processors 88 (referred hereinafter in the singular) and one or more computer-readable memories 90 (referred hereinafter in the singular) storing machine-readable instructions 92 executable by data processor 88 and configured to cause data processor 88 to generate one or more outputs 34 (referred hereinafter in the singular). Output 94 can comprise one or more signals for causing display device 96 of aircraft 10 to display the altitude readings. Output 94 can comprise one or more signals for generating any suitable type (e.g., visual, graphical, text-based, aural) of communication or alert/warning to the appropriate individual(s) or device(s).
Computer 84 can receive input(s) 98 in the form of data or information that can be processed by data processor 88 based on instructions 92 in order to generate output 94. For example, inputs 98 can comprise pressure altitude readings from the pressure altitude sensing devices and the reference altitude derived from the PFCC 102. While input 98 is illustrated as being received at computer 84, it is understood that some or all the data of input 98 could instead be stored in memory 90 of computer 84 prior to the execution of the method disclosed herein.
Data processor 88 can comprise any suitable device(s) configured to cause a series of steps to be performed by computer 84 so as to implement a computer-implemented process such that instructions 92, when executed by computer 84 or other programmable apparatus, can cause the functions/acts specified in the methods described herein to be executed. Memory 90 can comprise any suitable known or other non-transitory machine-readable storage medium. Memory 90 can include a suitable combination of any type of computer memory that is located either internally or externally to computer 84. Memory 90 can comprise any storage means (e.g. devices) suitable for retrievably storing machine-readable instructions 92 executable by data processor 88.
Various aspects of the present disclosure can be embodied as apparatus, devices, methods and/or computer program products. Accordingly, aspects of the present disclosure can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, aspects of the present disclosure can take the form of a computer program product embodied in one or more non-transitory computer readable medium(ia) (e.g., memory 90) having computer readable program code (e.g., instructions 92) embodied thereon. The computer program product can, for example, be executed by computer 84 to cause the execution of one or more methods disclosed herein in entirety or in part. It is understood that, based on the present disclosure, one skilled in the relevant arts could readily write computer program code for implementing the methods disclosed herein.
The above-described selection of a best air data source is also useful from an aircraft operational performance perspective. The RVSM error budget is nominally calculated using a Root Sum Square (RSS) of individual error sources from all the different air data sensors that can contribute to the overall Altimetry System Error (ASE) of an aircraft, as there is no way of knowing which air data source the pilot will be using. Details of this known error budget calculation is shown for example in U.S. Pat. US6757624 for example. A root sum square method combines the standard uncertainties of more than one contributor (or sensing device) to provide our overall combined uncertainty. The errors are typically larger at higher Mach numbers (close to Mach 1.0). By being able to select the best air data source as described above, and do so at a high enough frequency, the ASE calculation can now use a Root Mean Square (RMS) method, based on the best pressure altitude sensing device for the air data sensing portion of the ASE. The RMS method yields a more accurate determination of the actual performance error, as RMS deviations or errors are a frequently used measure of the differences between reference values (golden values) and a set of measured values. The RMS method therefore yields a higher usable airspeed for the purpose of RVSM envelope whilst meeting ASE requirements.
The above-described system and method can lead to a higher RVSM speed envelope using existing aircraft systems and systems installation (as opposed to costly development of new more accurate air data sensors; tighter installation tolerances and undue burden on operators to maintain aircraft within those installation tolerances). The aircraft can therefore travel faster cruise speed at higher altitude, thus reducing travel time, while still respecting RVSM requirements, where an aircraft must be equipped with at least two operational independent altitude measurement systems.
The above description is meant to be exemplary only, and one skilled in the relevant arts will recognize that changes may be made to the embodiments described without departing from the scope of the invention disclosed. The present disclosure may be embodied in other specific forms without departing from the subject matter of the claims. The present disclosure is intended to cover and embrace all suitable changes in technology. Modifications which fall within the scope of the present invention will be apparent to those skilled in the art, in light of a review of this disclosure, and such modifications are intended to fall within the appended claims. Also, the scope of the claims should not be limited by the preferred embodiments set forth in the examples, but should be given the broadest interpretation consistent with the description as a whole.
This application is based on, and claims priority to, US Provisional Patent Application Serial No. 63/285,793, filed on Dec. 3, 2021, the entire content of which is incorporated herein by reference.
Number | Date | Country | |
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63285793 | Dec 2021 | US |