APPLICATION OF LEARNING FEED-FORWARD CONTROLLER BASED ON MODEL REFERENCE ADAPTIVE SYSTEM FOR MISSILE STABILIZATION
DOI:
https://doi.org/10.31618/ESSA.2782-1994.2021.1.68.11Ключевые слова:
Learning feed-forward controller, Model reference adaptive system, Missile, Stabilize.Аннотация
The article presents the results of research, analysis and how to build learning feed-forward controller based on model reference adaptive system in the remote control loop for missile stabilization. The controller structure is simple, adaptive control law applying Lyapunov stability theory fast convergence and sustainable. The simulation results have shown the advantages of using algorithm, the missile is always stable when there is a parameter change due to the effects of flight conditions.
Библиографические ссылки
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Nguyen Van Bang, Synthesis of remote control law when taking into dynamics and nonlinear of the missile stage, Intelligent Systems and Networks, Springer, No.22, April 2021, DOI:10.1007/978-981-162094-2_22.
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