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The American Institute of Aeronautics and Astronautics (AIAA)

is the world's largest technical society dedicated to the global aerospace profession.

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    Course Outline

    Aircraft and Rotorcraft System Identification: Engineering Methods and Hands-on Training Using CIFER®

     

    Course Outline:



    I. Overview of system identification methods and applications
       A. What is system identification and what are the advantages of frequency-domain methods?
       B. What are the key payoffs of incorporating system ID in the development cycle
          1. “How will it help and what will it do for your program?”
       C. Frequency-response identification
       D. Transfer-function and Multi-input/multi-output (state-space) aircraft dynamic models
       E. Key elements of system identification (each topic will have a student lab exercise using CIFER®)
       F. Testing techniques
          1. Piloted/UAV flight testing for handling-qualities and control system development
          2. Do’s and don’ts of piloted frequency-sweep testing
          3. Instrumentation requirements and data consistency analysis
       G. Frequency-response identification
          1. FFTs and Chirp-Z transform
          2. Use of Coherence function for data evaluation
          3. Application to simulation fidelity evaluation and handling-qualities analysis
       H. Effects of flight control feedback on identification
          1. Assessing bias errors introduced under closed-loop test conditions
       I. Multi-input identification
          1. Matrix solution to frequency-response identification
       J. Optimal windowing
          1. Effect and selection of window size
          2. Numerical optimization for combining windows
       K. Transfer function modeling
          1. Lower-order equivalent system concepts
          2. Handling-qualities applications
       L. State-space modeling
          1. Physical and canonical models
          2. Applications to aircraft and rotorcraft
       M. Time-domain verification
          1. Assessing predictive capability of identified models
       N. Higher-order modeling for rotorcraft
          1. Key concepts and example applications