AIAA Science and Technology Forum and Exposition (SciTech 2015)
The objectives of this two-day short course is to: (1) review the fundamental methods of aircraft and rotorcraft system identification and illustrate the benefits of their broad application throughout the flight vehicle development process; (2) provide the attendees with an intensive hands-on training of the CIFER® system identification, using flight test data and 10 extensive Lab exercises. Students work on comprehensive laboratory
assignments using student version of software provided to course participants
(requires student to bring a PC laptop running Windows 7 (preferred) or above,
or a Mac laptop capable of dual-booting to Windows OS or running Windows
virtual machine using VMware Fusion or Parallels Desktop).
The many examples from recent aircraft programs illustrate the effectiveness of this technology for rapidly solving difficult integration problems. The course will review key methods and computational tools, but will not be overly mathematical in content. The course is highly recommended for graduate students, practicing engineers and managers.
Course includes the AIAA book “Aircraft and Rotorcraft System Identification
Overview of system identification methods and applications
Flight testing and instrumentation for handling-qualities and manned/unmanned control system development
Simulation model fidelity analysis and design model extraction from prototype flight testing
Flight test validation and optimization of aircraft dynamics and control
Hands-on training in system identification training using CIFER®
Over the two-day course students work ten comprehensive labs on model identification and verification using flight test data
Who Should Attend
This course is intended for practicing engineers and graduate students interested in learning the principles and applications of system identification for aircraft and rotorcraft. The course assumes some basic knowledge of the concepts of: dynamics, frequency-responses, transfer functions, and state-space representations. The course is not highly mathematical and no experience with other tools is a prerequisite.