Aircraft and Rotorcraft System Identification, Second Edition
 
                                                                       Mark B. Tischler; Robert K. Remple

 
                                                               Year: 2012           ISBN: 978-1-60086-820-7

 

                                                   Price $ 119.95

 

Table of Contents:

 

Presenting proven methods, practical guidelines, and real-world flight-test results for a wide range of state-of-the-art flight vehicles, Aircraft
and Rotorcraft System Identification, Second Edition addresses the entire process of aircraft and rotorcraft system identification from instrumentation
and flight testing to model determination, validation, and application of the results. In this highly anticipated second edition, authors Tischler and
Remple have added dedicated in-depth chapters presenting extended model structures and identification results for large flexible transport aircraft,
and the detailed methodology to develop a continuous full flight envelope simulation model from individual system identification models and trim test
data. Topics Discussed Frequency-response methods that are especially well suited for system identification of flight vehicle models from flight-test
data Specific guidelines for flight testing, data analysis, and the proper selection of model structure complexity Emphasis on the importance of physical
insight in model development and applications Special Features Student version of CIFERŪ with updated graphical user interface using MATLABŪ Numerous
flight-test results for both manned and unmanned vehicles illustrating the wide-ranging roles of system identification, including the analysis of flight
mechanics, feedback control, handling qualities, subsystem dynamics, structural analysis, higher-order models for aircraft and rotorcraft, and simulation
Extensive problem sets at the end of each chapter, with many exercises based on flight-test data provided for the XV-15 in hover and cruise giving the
reader hands-on real-world experience with system identification methods and interpretation of the results.

 

 

 

 

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