Adaptive Neural Network Applications on Missile Controller Design

Date

2009-08-17

Author

Yavrucuk, İlkay

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https://hdl.handle.net/11511/74460

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Adaptive neural network applications on missile controller design Sağıroğlu, Serkan; Yavrucuk, İlkay; Department of Aerospace Engineering (2009) In this thesis, adaptive neural network controllers are designed for a high subsonic cruise missile. Two autopilot designs are included in the study using adaptive neural networks, namely an altitude hold autopilot designed for the longitudinal channel and a directional autopilot designed for heading control. Aerodynamic coefficients are obtained using missile geometry; a 5-Degree of Freedom (5-DOF) simulation model is obtained, and linearized at a single trim condition. An inverted model is used in the con...
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Adaptive Control Algorithm for Linear Systems with Matched and Unmatched Uncertainties Yayla, Metehan; Kutay, Ali Türker (2016-12-14) In this paper, a new uncertainty identification method is introduced for both matched and unmatched uncertainties in an uncertain dynamical system. Online identifications of matched and unmatched uncertainties that can be linearly parameterized are ensured without requiring persistent excitation (PE) condition. Furthermore, constant weight matrices that parameterizes the unstructured uncertainties are guaranteed to stay bounded without PE. Findings are implemented on a hybrid adaptive control design, and gl...

Citation Formats

İ. Yavrucuk, “Adaptive Neural Network Applications on Missile Controller Design,” 2009, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/74460.