Experience with the X-15 Adaptive Flight Control System
Author:
Publisher:
Published: 1971
Total Pages: 36
ISBN-13:
DOWNLOAD EBOOKFlight tests to determine reliability of X-15 self adaptive flight control system.
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Author:
Publisher:
Published: 1971
Total Pages: 36
ISBN-13:
DOWNLOAD EBOOKFlight tests to determine reliability of X-15 self adaptive flight control system.
Author: Euclid C. Holleman
Publisher:
Published: 1966
Total Pages: 76
ISBN-13:
DOWNLOAD EBOOKAuthor: Euclid C. Holleman
Publisher:
Published: 1966
Total Pages: 20
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DOWNLOAD EBOOKAuthor: Zachary Thompson Dydek
Publisher:
Published: 2007
Total Pages: 122
ISBN-13:
DOWNLOAD EBOOK(Cont.) However, when the X-15-3 crashed in 1967, one of the severe disadvantages of this early adaptive control was highlighted: the lack of guaranteed stability and performance. Using modern adaptive control theory and the tools developed in this thesis, the control design of the X-15 is revisited and it is demonstrated that had the X-15 controllers been implemented today, all of the 200 flights, without a single exception, would have been performed safely, without incident.
Author: Robert A. Tremant
Publisher:
Published: 1962
Total Pages: 60
ISBN-13:
DOWNLOAD EBOOKAuthor: J. Eugene Farr
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Published: 1961
Total Pages: 102
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DOWNLOAD EBOOKAuthor: M. W. Reed
Publisher:
Published: 1962
Total Pages: 76
ISBN-13:
DOWNLOAD EBOOKAuthor:
Publisher:
Published: 1986
Total Pages: 26
ISBN-13:
DOWNLOAD EBOOKAuthor: Joseph Weil
Publisher:
Published: 1962
Total Pages: 60
ISBN-13:
DOWNLOAD EBOOKAuthor: Stephen G. Hoppe
Publisher:
Published: 1967
Total Pages: 258
ISBN-13:
DOWNLOAD EBOOKA study of the feasibility of a self-learning adaptive system for the flight control of high performance aircraft has been performed. A flight control system was developed for the investigation of the stability augmentation of the longitudinal axis of the F101B aircraft using self-learning adaptive control. The learning adaptive controller developed employs a three-loop concept. The innermost loop comprises a linear feedback control system in which a set of control gains is adjusted by a second (adaptive) loop employing a parameter identifier and a trainable function generator (automation). The automation provides the correct values of feedback gain in response to patterns derived from the identified aircraft parameters. The third loop (the learning loop) measures control system performance, and continually retrains the automation to improve the performance. Experiments were performed with a digital simulation of the aircraft and the learning adaptive control system. Results of the experiments indicate that learning adaptive control is feasible. However, a number of significant technical problems must be overcome prior to the use of such a control system in tactical aircraft. Studies of sensitivity must be performed to assess the effect of small perturbations in the identification parameters on system performance. Extended studies of property extraction from the identified parameters is required, and means for further simplifying the control structure is of importance in a real system. (Author).