Springer Adaptive Compensation of Nonlinear Actuators for Flight Control Applications: 386 (Studies in Systems, Decision and Control, 386)

Product Description This book provides a basic understanding of adaptive control and its applications in Flight control. It discusses the designing of an adaptive feedback control system and analyzes this for flight control of linear and nonlinear aircraft models using synthetic jet actuators. It also discusses control methodologies and the application of control techniques which will help practicing flight control and active flow control researchers. It also covers modelling and control designs which will also benefit researchers from the background of fluid mechanics and health management of actuation systems. The unique feature of this book is characterization of synthetic jet actuator nonlinearities over a wide range of angles of attack, an adaptive compensation scheme for such nonlinearities, and a systematic framework for feedback control of aircraft dynamics with synthetic jet actuators. From the Back Cover This book provides a basic understanding of adaptive control and its applications in Flight control. It discusses the designing of an adaptive feedback control system and analyzes this for flight control of linear and nonlinear aircraft models using synthetic jet actuators. It also discusses control methodologies and the application of control techniques which will help practicing flight control and active flow control researchers. It also covers modelling and control designs which will also benefit researchers from the background of fluid mechanics and health management of actuation systems. The unique feature of this book is characterization of synthetic jet actuator nonlinearities over a wide range of angles of attack, an adaptive compensation scheme for such nonlinearities, and a systematic framework for feedback control of aircraft dynamics with synthetic jet actuators. About the Author Dipankar Deb is currently Associate Professor in Department of Electrical Engineering at Institute of Infrastructure Technology, Research and Management, Ahmedabad, India. He holds B.E. degree from National Institute of Technology, Karnataka, M.S. degree in Electrical and Computer Engineering from University of Florida, Gainesville, and Ph.D. degree in Electrical Engineering. He is Senior Member of IEEE. He has filed and published 6 US Patents and 25 Indian Patents, apart from 50 research articles in International Journals and Conferences. He has wide experience in academia and industry both in the USA and India. His research interest includes adaptive control, active flow control, renewable energy, smart infrastructure, and bio-medical control applications. He has published a book with Springer in 2018 Engineering Research Methodology and edited two other books with Springer, Innovations in Infrastructure, and Innovative Research in Transportation Infrastructure. Jason Burkholder received his Ph.D. degree in Electrical Engineering from the University of Virginia in 2010, M.S. in Electrical Engineering from the University of Virginia in 1997, and B.S. in Systems Engineering from the United States Naval Academy in 1995. His dissertation involved the design of adaptive diagnostic algorithms that tolerate changing system dynamics during the normal equipment aging process while maintaining fault sensitivity. From 1998 to 2003, he worked for Sperry Marine, a unit of Northrop Grumman Systems Corporation. In December 2001, Dr. Burkholder received the Sperry Marine Engineering Excellence Award, an annual award recognizing the Company's outstanding young engineer. He then also worked with Barron Associates. He has led numerous projects, including the 3D corrosion mapping system and hot corrosion projects described in the related work section. Additional projects led by Dr. Burkholder include: the development and simulation of fault detection and isolation schemes for marine diesel engines; the development and simulation of advanced high-speed algorithms for detection and isolation of faults in zonal, gr