New methods in adaptive flight control
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New methods in adaptive flight control by Lee Gregor Hofmann

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Published by C.F.S.T.I. in Springfield .
Written in English


Book details:

Edition Notes

Statementby Lee Gregor Hofmann and John J. Best ; prepared for Laugley Research Center National Aeronautics and Space Administration.
ContributionsBest, John J., Langley Research Center.
The Physical Object
Paginationx,134p.
Number of Pages134
ID Numbers
Open LibraryOL13953551M

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This method has been successfully flight-tested on research aircraft, one of various flight-control applications detailed towards the end of the book along with a hybrid adaptive flight control architecture that combines direct MRAC with least-squares indirect adaptive control.5/5(1).   Aircraft Control and Simulation: Dynamics, Controls Design, and Autonomous Systems, Third Edition is a comprehensive guide to aircraft control and simulation. This updated text covers flight control systems, flight dynamics, aircraft modeling, and flight simulation from both classical design and modern perspectives, as well as two new chapters. Aircraft Control and Simulation: Dynamics, Controls Design, and Autonomous Systems, Third Edition is a comprehensive guide to aircraft control and simulation. This updated text covers flight control systems, flight dynamics, aircraft modeling, and flight simulation from both classical design and modern perspectives, as well as two new chapters Cited by: Part IV highlights adaptive control in aircraft systems. This part also considers how adaptive control fell into disfavor in the flight control community, illustrating the existence of residual negative bias. The desirability of cost elimination of air data sensors in less-sophisticated flight control systems is also discussed.

This book presents the state of the art in the area of UAV Flight Formation. The coordination and robust consensus approaches are presented in detail as well as formation flight control strategies which are validated in experimental platforms. It aims at helping students and academics alike to better understand what coordination and flight.   This paper presents the first results obtained in the application of stochastic control theory to flight control problems. It involves identification and adaptive control of an aircraft which operates over a wide range of environmental conditions that affect its dynamic characteristics. The bulk of the paper deals with theidentification problem of estimating stability derivatives in Cited by: He developed several innovative adaptive control methods in the s, one of which was peer-reviewed and selected by NASA for flight-testing on NASA F/AA research aircraft. NASA only flight-tested two other adaptive control technologies previously: one on NASA X aircraft in the s and the other on NASA F aircraft in the : Springer International Publishing. Nonlinear problems in flight control have stimulated cooperation among engineers and scientists from a range of disciplines. Developments in computer technology allowed for numerical solutions of nonlinear control problems, while industrial recognition and applications of nonlinear mathematical models in solving technological problems is increasing. The aim of the book Cited by: 3.

Robust and Adaptive Control shows the reader how to produce consistent and accurate controllers that operate in the presence of uncertainties and unforeseen events. Driven by aerospace applications the focus of the book is primarily on continuous-dynamical systems. The text is a three-part treatment, beginning with robust and optimal linear control methods and Brand: Springer-Verlag London. Adaptive Control and Optimal Control methods. The book shows how ADP can be used to Volume 57 Flight control systems R.W. Pratt (Editor) Volume 58 Power-plant control and instrumentation D. Lindsley Optimal adaptive control for discrete-time systems 32File Size: 2MB. This method has been successfully flight-tested on research aircraft, one of various flight-control applications detailed towards the end of the book along with a hybrid adaptive flight control architecture that combines direct MRAC with least-squares indirect adaptive control. A variety of adaptive control methods have been proposed to deal with uncertainties in the control object. Model reference adaptive control (MRAC) is one of the most popular adaptive control methods. While many physical systems exhibit nonlinear characteristics, most of existing MRAC design methods assume that the control object is linear.