DESIGN OF MODEL REFERENCE ADAPTIVE SYSTEMS BASED LEARNING FEED-FORWARD CONTROLLER FOR MISSILE REMOTE CONTROL LOOP

Abstract

The paper presents the results of research, analysis and construction of a model reference adaptive systems based learning feed-forward controller within the missile remote control loop. Law on adaptive control obtained by applying stability theory Lyapunov has a simple, sustainable form and rapid convergence. The simulation results showed the advantages when using the algorithm. These are important arguments for research, improvement, and synthesis of remote control devices.