APPLICATION OF LEARNING FEED-FORWARD CONTROLLER BASED ON MODEL REFERENCE ADAPTIVE SYSTEM FOR MISSILE STABILIZATION

V. Nguyen; C. Dang; V. Luong

doi:10.31618/ESSA.2782-1994.2021.1.68.11

Автор(и)

V. Nguyen Air Force Academy, Ha Noi, Viet Nam
C. Dang Air Force Academy, Ha Noi, Viet Nam
V. Luong Air Force Academy, Ha Noi, Viet Nam

DOI:

https://doi.org/10.31618/ESSA.2782-1994.2021.1.68.11

Ключові слова:

Learning feed-forward controller, Model reference adaptive system, Missile, Stabilize.

Анотація

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.

Біографії авторів

V. Nguyen , Air Force Academy, Ha Noi, Viet Nam

Air Defence

C. Dang , Air Force Academy, Ha Noi, Viet Nam

Air Defence

V. Luong, Air Force Academy, Ha Noi, Viet Nam

Air Defence

Посилання

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