Advanced Control of Turbofan Engines

2012
ISBN: 978-1-4899-9730-2
Verlag: Springer

Buch, Englisch, 266 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 435 g

Advanced Control of Turbofan Engines describes the operational performance requirements of turbofan (commercial) engines from a controls systems perspective, covering industry-standard methods and research-edge advances. This book allows the reader to design controllers and produce realistic simulations using public-domain software like CMAPSS: Commercial Modular Aero-Propulsion System Simulation, whose versions are released to the public by NASA. The scope of the book is centered on the design of thrust controllers for both steady flight and transient maneuvers. Classical control theory is not dwelled on, but instead an introduction to general undergraduate control techniques is provided.  Advanced Control of Turbofan Engines is ideal for graduate students doing research in aircraft engine control and non-aerospace oriented control engineers who need an introduction to the field.

Zielgruppe

Research

Autoren/Hrsg.

Richter, Hanz

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Regelungstechnik
• Technische Wissenschaften Verkehrstechnik | Transportgewerbe Luft- und Raumfahrttechnik, Luftverkehr
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau Triebwerkstechnik, Energieübertragung

Inhaltsverzeichnis

Introduction.- Engine Models and Simulation Tools.- Engine Control by Classical Methods.- Engine Control By Robust State Feedback.- Gain Scheduling and Adaptation.- Sliding Mode Control of Turbofan Engines.- Engine Limit Management with Linear Regulators.- Engine Limit Management with Sliding Modes.- Engine Limit Management with Model Predictive Control.- Time-Optimal Control of Fan Speed.- Representative Linear Model Matrix Listings - 90k Engine.- Representative Linear Model Matrix Listings - 40k Engine.- Matlab Code for Linearized MPC Simulation.

Über Autor(innen)

Hanz Richter, Cleveland State University, [e-mail]