CN106200621A - A kind of flight control system normally works the acquisition methods of criterion - Google Patents

A kind of flight control system normally works the acquisition methods of criterion Download PDF

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Publication number
CN106200621A
CN106200621A CN201610681389.XA CN201610681389A CN106200621A CN 106200621 A CN106200621 A CN 106200621A CN 201610681389 A CN201610681389 A CN 201610681389A CN 106200621 A CN106200621 A CN 106200621A
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CN
China
Prior art keywords
criterion
flight control
work
control system
value
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CN201610681389.XA
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Chinese (zh)
Inventor
刘华辉
宋晓
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Xian Flight Automatic Control Research Institute of AVIC
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Xian Flight Automatic Control Research Institute of AVIC
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Application filed by Xian Flight Automatic Control Research Institute of AVIC filed Critical Xian Flight Automatic Control Research Institute of AVIC
Priority to CN201610681389.XA priority Critical patent/CN106200621A/en
Publication of CN106200621A publication Critical patent/CN106200621A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0224Process history based detection method, e.g. whereby history implies the availability of large amounts of data
    • G05B23/024Quantitative history assessment, e.g. mathematical relationships between available data; Functions therefor; Principal component analysis [PCA]; Partial least square [PLS]; Statistical classifiers, e.g. Bayesian networks, linear regression or correlation analysis; Neural networks

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  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Mathematical Physics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The present invention relates to a kind of flight control system normally work the acquisition methods of criterion, for the checking of flight control system environmental test.The present invention provides the acquisition methods that a kind of flight control system normally works criterion, standardization work criterion acquisition methods is learning system work criterion under the input of system difference, different modalities and working environment, and verifies whether flight control system functional performance in various environmental tests meets System Technical Specification requirement with this.By to " work criterion learn " appraisal procedure of flight control system output order value and estimation flow, obtaining with fixing flow process and signal standards difference demand and fly to control work criterion, it is achieved the concordance that holonomic system criterion obtains;The instruction output valve that system work is the most easily affected by input is weighed by the method for variance, by differentiating the dispersion degree of different output order collection value and whether meeting this signal feeding variance yields for mark, determine whether system work criterion can be as the work criterion of multiple output system.

Description

A kind of flight control system normally works the acquisition methods of criterion
Technical field
The present invention relates to a kind of flight control system normally work the acquisition methods of criterion, for testing of flight control system environmental test Card.
Background technology
Civil aircraft flight control system is the complication system of a multiple-input and multiple-output, and the checking of simultaneity factor high security requires system Steady operation under various working environments, and functional criterion requirement to be met.Owing to flight control system output signal can not be kept away From to various discrete analog(ue) inputs, system mode and various electromagnetism or the impact of working environment, fly under the conditions of different operating The acquisition of Ore-controlling Role work criterion is a difficult problem.Need one standardization work criterion acquisition methods to input in system difference, Learning system work criterion under different modalities and working environment, and verify flight control system merit in various environmental tests with this Performance whether can meet System Technical Specification requirement.
Summary of the invention
The technical problem to be solved is: provide the acquisition methods that a kind of flight control system normally works criterion, pin To difference input, different modalities and different operating environment, the real-time criterion meeting flight control system obtains demand.
The flight control system of the present invention normally works the acquisition methods of criterion, comprises the following steps:
Step one, flight control system power on, it is judged that whether the discrete input and output of system and system Working mould state value meet sets Value, when meeting perform step 2, no if continue executing with step one;
Step 2, the work criterion study of beginning system output order value
Being acquired system output value, 100 system output value of continuous acquisition, according to the system output value meter collected Calculate meansigma methods, then calculate the system output value standard variance stdDev relative to meansigma methods, if standard variance stdDev >= Set requirement, then return step 2;If standard variance stdDev < set requirement, record system simulation and discrete criterion value, complete Become learning process.
Beneficial effects of the present invention: by " work criterion learn " appraisal procedure of flight control system output order value with comment Estimate flow process, obtain with fixing flow process and signal standards difference demand fly control work criterion, it is achieved flight control system difference input, The concordance that holonomic system criterion under different modalities and working environment obtains;System work is weighed by the method for variance Make the instruction output valve the most easily affected by input, by differentiating the dispersion degree of different output order collection value and whether meeting This signal feeding variance yields is mark, determines that the system work criterion exporting acquisition now by extraction system in real time is the most permissible As the work criterion of multiple output system,
Accompanying drawing explanation
Fig. 1 is that the present invention normally works the flow chart of criterion acquisition methods.
Detailed description of the invention
A kind of flight control system normally works the acquisition methods of criterion, comprises the following steps:
Step one, flight control system power on, it is judged that whether the discrete input and output of system and system Working mould state value meet sets Value, when meeting perform step 2, no if continue executing with step one;
Step 2, the work criterion study of beginning system output order value
Being acquired system output value, 100 system output value of continuous acquisition, according to the system output value meter collected Calculate meansigma methods, then calculate the system output value standard variance stdDev relative to meansigma methods, if standard variance stdDev >= Set requirement, then return step 2;If standard variance stdDev < set requirement, record system simulation and discrete criterion value, complete Become learning process.

Claims (1)

1. flight control system normally works an acquisition methods for criterion, comprises the following steps:
Step one, flight control system power on, it is judged that whether the discrete input and output of system and system Working mould state value meet setting value, when When meeting perform step 2, no if continue executing with step one;
Step 2, the work criterion study of beginning system output order value
System output value is acquired, 100 system output value of continuous acquisition, calculates according to the system output value collected flat Average, then calculates the system output value standard variance stdDev relative to meansigma methods, if standard variance stdDev >=setting Requirement, then return step 2;If standard variance stdDev < sets requirement, record system simulation and discrete criterion value, completes to learn Habit process.
CN201610681389.XA 2016-08-17 2016-08-17 A kind of flight control system normally works the acquisition methods of criterion Pending CN106200621A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610681389.XA CN106200621A (en) 2016-08-17 2016-08-17 A kind of flight control system normally works the acquisition methods of criterion

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610681389.XA CN106200621A (en) 2016-08-17 2016-08-17 A kind of flight control system normally works the acquisition methods of criterion

Publications (1)

Publication Number Publication Date
CN106200621A true CN106200621A (en) 2016-12-07

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CN201610681389.XA Pending CN106200621A (en) 2016-08-17 2016-08-17 A kind of flight control system normally works the acquisition methods of criterion

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CN (1) CN106200621A (en)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2437034A2 (en) * 2010-09-30 2012-04-04 Siemens Corporation System and method for conditional multi-output regression for machine condition monitoring
CN102707708A (en) * 2012-05-25 2012-10-03 清华大学 Method and device for diagnosing faults of multi-mode flight control system
CN104348670A (en) * 2013-07-24 2015-02-11 中国国际航空股份有限公司 Fuel oil assembly performance detection method and apparatus of airplane auxiliary power unit (APU)
WO2015145085A1 (en) * 2014-03-27 2015-10-01 Snecma Method for assessing whether or not a measured value of a physical parameter of an aircraft engine is normal

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2437034A2 (en) * 2010-09-30 2012-04-04 Siemens Corporation System and method for conditional multi-output regression for machine condition monitoring
CN102707708A (en) * 2012-05-25 2012-10-03 清华大学 Method and device for diagnosing faults of multi-mode flight control system
CN104348670A (en) * 2013-07-24 2015-02-11 中国国际航空股份有限公司 Fuel oil assembly performance detection method and apparatus of airplane auxiliary power unit (APU)
WO2015145085A1 (en) * 2014-03-27 2015-10-01 Snecma Method for assessing whether or not a measured value of a physical parameter of an aircraft engine is normal

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
庞怡等: "无人机飞控系统可靠性与性能一体化设计平台研究", 《航空可靠性工程技术与应用:中国航空学会可靠性工程专业委员会第十一届学术年会论文集》 *
张大伟: "民用飞机飞控系统MOC4试验验证方法分析", 《航空科学技术》 *

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