System Identification Methods for Aircraft Flight Control Development and Validation

Details

• Creators:
  Tischler, Mark B.
• Corporate Contributors:
  Ames Research Center
• Subject/TRT Terms:
  Comprehensive Identification From FrEquency Responses (CIFER) Computer Algorithms Detection And Identification Systems Dynamic Response Prediction Dynamic Tests Flight Control Systems Flight Tests Frequency-domain System-identification Methods System Characterization
• DOI:
  https://doi.org/10.21949/1403895
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Corporate Publisher:
  Ames Research Center
• Abstract:
  System-identification methods compose a mathematical model, or series of models, from measurements of inputs and outputs of dynamic systems. This paper discusses the use of frequency-domain system-identification methods for the development and integration of aircraft flight-control systems. The extraction and analysis of models of varying complexity is illustrated using the Comprehensive Identification from Frequency Responses (CIFER) system-identification facility. Results are presented for test data of numerous flight and simulation programs at the Ames Research Center.
• Format:
  PDF
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:71c8dfc0e1fbbf6789cc001a504898eb0d91c079376440d7cb9cd9301a051067e029ab7785629fc57a40506ffbb7e55a726660aed1bf705d028bd9dd93db9918
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/12583/dot_12583_DS1.pdf
• File Type:
  [PDF - 585.56 KB ]