Aircraft and rotorcraft system identification : engineering by Mark Tischler, Robert Remple

By Mark Tischler, Robert Remple

Even if many books were written at the concept of method identity, few can be found that offer a whole engineering remedy of process id and the way to effectively use it on flight automobiles. This ebook presents the original point of view of over two decades of flight-test functions to either airplane and rotorcraft and is a helpful source for college kids, operating engineers, and others attracted to atmospheric flight mechanics, modeling and simulation, and try and overview. It offers confirmed tools, functional directions, and real-world flight-test effects for quite a lot of cutting-edge flight cars, from small uncrewed aerial cars (UAVs) to giant manned aircraft/rotorcraft.

Beginning with the fundamental recommendations of approach identity, every one bankruptcy strains an easy simulation instance and actual flight examples throughout the step by step approach from instrumentation and information checking to version extraction and version verification. The frequency-response strategy, that's exact to this ebook, is mainly compatible for approach id of airplane and rotorcraft dynamics types from flight-test info. an entire bankruptcy is dedicated to higher-order modeling of helicopters. Many purposes are integrated to illustrate how the goods because of process id are used. particular functions contain flight mechanics and handling-qualities analyses, balance margin choice, structural mode choice, and simulation version constancy assessment.

The ebook assumes wisdom of the elemental thoughts of aeronautics, Laplace transforms, and flight dynamics and classical keep watch over. Emphasis is put on engineering tools and interpretation of flight-test effects and every key procedure or research software is illustrated with images acquired from the procedure identity software program (CIFERÆ) supplied with the booklet. Case experiences in response to actual flight-test tasks are integrated besides! as difficulties for college students to resolve utilizing the supplied CIFERÆ software.

A suggestions guide, written by way of Christina M. Ivler and Mark B. Tischler is obtainable from the writer.

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6 Simulation vs system identification. that this can be done before the aircraft has been built. In some cases the agreement between the predicted and measured dynamic behavior is unsatisfactory, at least initially, before “tuning,” because of the accumulated uncertainties and modeling simplifications. The approach is less suitable for small unmanned air vehicles (UAVs), which often have unique designs that are not similar to any existing database. System identification and simulation modeling can be seen as inverse procedures, as shown in Fig.

Management support from the University of California at Santa Cruz and Ames Research Center, especially Bassam Musaffar and Larry Hogle, created ideal conditions for working on the book while balancing the scheduling demands of other important projects. A special thanks goes to Mark Tischler for the invitation to collaborate in writing the book and for being an outstanding mentor, a stimulating colleague, and a good friend. Finally, the second author wishes to thank his wife, Evelynn Brown Remple, and their son, Jonathan Remple, for the support, encouragement, and understanding that he received from them while working on this book.

5. The bottom plot is the associated coherence function γ xy , which is an excellent indicator of the frequency-response accuracy. 6 ) , which in this example is true for all but the highest frequencies, indicates an accurate frequency-response identification result. A frequency-response data curve that characterizes a single-input/single-output (SISO) subsystem such as an actuator can easily be obtained from the measurement data of the excitation (electrical input) and response (actuator displacement).

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