Measuring and testing – Fluid flow direction – Relative to aircraft or watercraft
Reexamination Certificate
2007-05-08
2007-05-08
Allen, Andre J. (Department: 2855)
Measuring and testing
Fluid flow direction
Relative to aircraft or watercraft
C073S182000
Reexamination Certificate
active
11099704
ABSTRACT:
A method of calculating a system level air data parameter for an aircraft, for example aircraft angle-of-attack (AOA) and/or angle-of-sideslip (AOS), includes measuring a plurality of local static pressures pi. Next, a plurality of non-dimensional pressure ratios are each generated as a function of one of the plurality of local static pressures pi, a predicted system static pressure Pspredicted, and a predicted impact pressure qc predicted. Then, the system level air data parameter is calculated as a function of the generated plurality of non-dimensional pressure ratios. Air data systems having air data computers configured to implement the method are also disclosed. The air data systems can be Flush Air Data Systems (FADS), or other types of air data systems.
REFERENCES:
patent: 3318146 (1967-05-01), Hagen et al.
patent: 4096744 (1978-06-01), De Leo et al.
patent: 4303978 (1981-12-01), Shaw et al.
patent: 4378696 (1983-04-01), DeLeo et al.
patent: 4378697 (1983-04-01), DeLeo et al.
patent: 4615213 (1986-10-01), Hagen
patent: 4644538 (1987-02-01), Cooper et al.
patent: 4836019 (1989-06-01), Hagen et al.
patent: 4987542 (1991-01-01), Tran
patent: 5205169 (1993-04-01), Hagen
patent: 5319970 (1994-06-01), Peterson et al.
patent: 5369993 (1994-12-01), Hagan
patent: 5423209 (1995-06-01), Nakaya et al.
patent: 5485412 (1996-01-01), Sarkkinen et al.
patent: 5610845 (1997-03-01), Slabinski et al.
patent: 5616861 (1997-04-01), Hagen
patent: 5710559 (1998-01-01), Krogmann
patent: 5797105 (1998-08-01), Nakaya et al.
patent: 5819188 (1998-10-01), Vos
patent: 5901272 (1999-05-01), Schaefer, Jr. et al.
patent: 6073084 (2000-06-01), Le Tron
patent: 6253166 (2001-06-01), Whitmore et al.
patent: 6305218 (2001-10-01), Foster
patent: 6466888 (2002-10-01), McCool et al.
patent: 6561020 (2003-05-01), Glenney
patent: 6594559 (2003-07-01), Alwin et al.
patent: 6604029 (2003-08-01), Cronin et al.
patent: 6609421 (2003-08-01), Cronin et al.
patent: 6668640 (2003-12-01), Alwin et al.
patent: 6761057 (2004-07-01), Cronin et al.
patent: 2004/0122615 (2004-06-01), Cronin et al.
patent: 2006/0155506 (2006-07-01), Cronin et al.
patent: 2006/0212181 (2006-09-01), Cronin et al.
patent: 37 27 906 (1989-03-01), None
patent: 44 10 709 (1995-10-01), None
patent: 1 256 811 (2002-11-01), None
patent: 1 293 784 (2003-03-01), None
patent: 1176381 (1967-02-01), None
patent: 2 041 136 (1995-08-01), None
patent: 2 103 718 (1998-01-01), None
patent: WO 99/32963 (1999-07-01), None
Stickney et al., T. M., “Total Temperature Sensors, Technical Report 5755, Revision C”, Rosemount Aerospace/BFGoodrich, Jan. 1994.
“BFGoodrich-Aircraft Sensors Division Air Data System with SmartProbe for Fairchiled Dornier 728JET”, BFGoodrich-Rosemount Aerospace, Addendum to D9820217 Rev. B, Oct. 1998, pp. 1-10.
“SmartProbe™ Air Data System for Embraer ERJ-170 & 190”, BFGoodrich-Aircraft Sensors Divison, Proposal D9920133, Apr. 1999, pp. 1-65.
F.W. Hagen and Dr. H. Seidel, “Deutsche Airbus Flight Test of Rosemount Smart Probe for Distributed Air Data System”, IEEE AES Systems Magazine, Apr. 1994, pp. 7-14.
Bulletin 1013, “Pitot and Pitot-Static Probes”, BFGoodrich (May 1998).
Rohloff et al., T. J., “Air Data Sensing from Surface Pressure Measurements Using a Neural Network Method”, AIAA Journal, Vo. 36, No. 11, Nov. 1998, pp. 2094-2101.
Rohloff et al., T.J., “Fault-Tolerant Neural Network Algorithm for Flush Air Data Sensing”, Journal of Aircraft, vol. 36, No. 3, May-Jun. 1999, pp. 541-549.
Rohloff, T.J., “Fault Tolerance and Extrapolation Stability of a Neural Network Air-Data Estimator”, Journal of Aircraft, vol. 36, No. 3, May-Jun. 1999, pp. 571-576.
“What is an Artificial Neural Network?”, Battelle Memorial Institute (Copyright 1997), (Publication at least by Apr. 9, 2001), http://www.emsl.pnl.gov:2080/proj
euron
eural/what.html.
C. Stergiou, “What is a Neural Network?”, (Publication at least by Apr. 9, 2001), http://www.doc.ic.ac.uk/˜nd/surprise—96/journal/vol1/cs11/article1.html.
D. Clark, “An Introduction to Neural Networks”, Copyright 1991, 1997 (Publication at least by Apr. 9, 2001), http://members.home.net
euralnet/introtonn/index.htm.
Rohloff et al., T. J., “Air Data Sensing from Surface Pressure Measurements Using a Neural Network Method”, AIAA Journal, vol. 36, No. 11, pp. 2095-2101, Nov. 1998.
Rohloff et al., T. J., “Fault-Tolerance Neural Network Algorithm for Flush Air Data Sensing”, Journal of Aircraft, vol. 36, No. 3, pp. 571-576May-Jun. 1999.
Search Report issued by the U.K. Patent Office in Application No. GB0605207.0.
U.S. Appl. No. 10/977,442, filed Oct. 29, 2004, entitled “Fault Isolation Method and Apparatus in Artificial Intelligence Based Air Data Systems”.
Search Report dated Jan. 9, 2006 for Application No. GB0519751.2.
Cronin Dennis James
Hongerholt Derrick David
Schauer Travis Jon
Allen Andre J.
Rosemount Aerospace Inc.
Veldhuis-Kroeze John D.
Westman Champlin & Kelly P.A.
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