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Neural-Based Compensation of Nonlinearities in an Airplane Longitudinal Model with Dynamic-Inversion Control
Joint Authors
Liu, Yanbin
Li, YuHui
Jin, FeiTeng
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-12-19
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
The inversion design approach is a very useful tool for the complex multiple-input-multiple-output nonlinear systems to implement the decoupling control goal, such as the airplane model and spacecraft model.
In this work, the flight control law is proposed using the neural-based inversion design method associated with the nonlinear compensation for a general longitudinal model of the airplane.
First, the nonlinear mathematic model is converted to the equivalent linear model based on the feedback linearization theory.
Then, the flight control law integrated with this inversion model is developed to stabilize the nonlinear system and relieve the coupling effect.
Afterwards, the inversion control combined with the neural network and nonlinear portion is presented to improve the transient performance and attenuate the uncertain effects on both external disturbances and model errors.
Finally, the simulation results demonstrate the effectiveness of this controller.
American Psychological Association (APA)
Liu, Yanbin& Li, YuHui& Jin, FeiTeng. 2017. Neural-Based Compensation of Nonlinearities in an Airplane Longitudinal Model with Dynamic-Inversion Control. Computational Intelligence and Neuroscience،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1141182
Modern Language Association (MLA)
Liu, Yanbin…[et al.]. Neural-Based Compensation of Nonlinearities in an Airplane Longitudinal Model with Dynamic-Inversion Control. Computational Intelligence and Neuroscience No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1141182
American Medical Association (AMA)
Liu, Yanbin& Li, YuHui& Jin, FeiTeng. Neural-Based Compensation of Nonlinearities in an Airplane Longitudinal Model with Dynamic-Inversion Control. Computational Intelligence and Neuroscience. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1141182
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1141182