Neural extended kalman filter based angle-only target tracking for cruise missiles

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2016

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Eşsiz, Görkem

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This thesis presents an adaptive roll control scheme for guided munitions. Guided munitions are air-to-air or air-to-surface weapons which have enhanced target hit capabilities with laser seekers or similar guidance utilities. The dynamic interferences in nonlinear regions of the flight envelope, leads the studies on control of guided munitions to search for adaptive solutions. The missile used in this study has no propulsive forces and do the adequate maneuvers commanded by the guidance algorithm with its initial kinetic and potential energy. In this study first, the baseline roll autopilot is developed which is in cascaded two loop architecture augmented with a feedforward controller and a model reference controller structure. Since the coupling effects could not be eliminated with the baseline architecture, the control algorithm is improved with a model reference adaptive controller with Chebyshev polynomials based uncertainty parameterization. Then the study is extended by utilizing concurrent learning algorithm as the adaptation law to learn and reveal the unknown pitch-roll couplings.

Subject Keywords

Cruise missiles., Guided missiles., Kalman filtering., Projectiles, Aerial., Tracking (Engineering)., Guided missiles

URI

http://etd.lib.metu.edu.tr/upload/12619792/index.pdf
https://hdl.handle.net/11511/25466

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Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

G. Eşsiz, “Neural extended kalman filter based angle-only target tracking for cruise missiles,” M.S. - Master of Science, Middle East Technical University, 2016.