Identification Modeling and Characteristics of Miniature Rotorcraft introduces an approach to developing a simple and effective linear parameterized model of vehicle dynamics using the CIFERâ identification tool created by the Army/NASA Rotorcraft Division. It also presents the first application of the advanced control system optimization tool CONDUITâ to systematically and efficiently tune control laws for a model-scale UAV helicopter against multiple and competing dynamic response criteria. Identification Modeling and Characteristics of Miniature Rotorcraft presents the detailed account of how the theory was developed, the experimentation performed, and how the results were used. This book will serve as a basic and illustrative guide for all students that are interested in developing autonomous flying helicopters.
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Inside This Book
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First Sentence:
The successful development of an autonomous aerial vehicle requires solving complex engineering problems. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
yaw damping system, miniature rotorcraft, stabilizer bar dynamics, time domain verification, stabilizer bar acts, roll rate sensitivity, parameterized identification model, scale rotorcraft, stability derivatives model, flapping dynamics, rotorcraft control, estimated frequency responses, unmanned rotorcraft, flapping equation, lateral cyclic input, spring derivatives, yaw dynamics, rotorcraft dynamics, baseline controller, cyclic control inputs, flapping response, heave dynamics, teetering rotor, identified model parameters, yaw rate response Key Phrases - Capitalized Phrases (CAPs): (learn more)
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The successful development of an autonomous aerial vehicle requires solving complex engineering problems. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
yaw damping system, miniature rotorcraft, stabilizer bar dynamics, time domain verification, stabilizer bar acts, roll rate sensitivity, parameterized identification model, scale rotorcraft, stability derivatives model, flapping dynamics, rotorcraft control, estimated frequency responses, unmanned rotorcraft, flapping equation, lateral cyclic input, spring derivatives, yaw dynamics, rotorcraft dynamics, baseline controller, cyclic control inputs, flapping response, heave dynamics, teetering rotor, identified model parameters, yaw rate response Key Phrases - Capitalized Phrases (CAPs): (learn more)
Carnegie Mellon New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 20
books:
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cites this book:
- Feedback Control Theory by John C. Doyle in Back Matter
- Signals, Systems, and Transforms by Leland B. Jackson in Back Matter
- Helicopter dynamics by A. R. S Bramwell in Back Matter
- Principles of Helicopter Aerodynamics (Cambridge Aerospace Series) by J. Gordon Leishman in Back Matter
- Engineering Applications of Correlation and Spectral Analysis by Julius S. Bendat in Back Matter
See all 20 books this book cites
- Aircraft and Rotorcraft System Identification (AIAA Education) by Mark Tischler in Back Matter
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