APPLICATION OF LEARNING FEED-FORWARD CONTROLLER BASED ON MODEL REFERENCE ADAPTIVE SYSTEM FOR MISSILE STABILIZATION
DOI:
https://doi.org/10.31618/ESSA.2782-1994.2021.1.68.11Keywords:
Learning feed-forward controller, Model reference adaptive system, Missile, Stabilize.Abstract
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.
References
Kadriye Tiryaki Kutluay, Adaptive control of guided missiles, A Thesis Submitted to The Graduate School of Natural and Applied Sciences of Middle East
Technical University, 2011.
Pankaj K., Kumar J.S. and Nema R.K., Comparative Analysis of MIT Rule and Lyapunov Rule in Model Reference Adaptive Control Scheme, Innovative Systems Design and Engineering, Vol.2, 2011, pp. 154-162.
Nguyen Van Bang, Nguyen Tat Tuan, Synthesis of parameter recognition algorithm and state evaluation for flight device, East European Scientific Journal, Vol 2, No.66, 2021, pr. 46-54.
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.
Kanashenkova. A.I i Merkulova. V.I. Aviacionnye sistemy radioupravleniya (tom 2), Radiotehnika, Moskva, 2013.
Anatolij Borisovich Skorik, Sistemy upravleniya sovremennymi zenitnymi raketami. Matematicheskoe modelirovanie kontura navedeniya, Suchasci informashjya tehnologi sfere bezpeki ta oboroni (tom 1), 2013.
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