TY - JOUR

T1 - Combined adaptive controller for UAV guidance

AU - Fradkov, Alexander

AU - Andrievsky, Boris

N1 - Funding Information: The work was partly supported by Russian Foundation for Basic Research (grant 02-01-00765) and Presidium of Russian Academy of Sciences (scientific program 19, Project 1.4).

PY - 2005

Y1 - 2005

N2 - Combined adaptive control law, using both variable and identification approaches for an autopilot of the unmanned aerial vehicle (UAV) homing guidance system is proposed. The combined adaptive controller design is based upon shunting method and passification with Feedback Kalman-Yakubovich Lemma. The adaptation algorithm provides prescribed attitude motion dynamics for different flight conditions. Simulation results verify efficiency of the combined adaptive controller in the case of significant uncertainty of the UAV parameters and time dependence of the guidance loop.

AB - Combined adaptive control law, using both variable and identification approaches for an autopilot of the unmanned aerial vehicle (UAV) homing guidance system is proposed. The combined adaptive controller design is based upon shunting method and passification with Feedback Kalman-Yakubovich Lemma. The adaptation algorithm provides prescribed attitude motion dynamics for different flight conditions. Simulation results verify efficiency of the combined adaptive controller in the case of significant uncertainty of the UAV parameters and time dependence of the guidance loop.

KW - Adaptive Control

KW - Feedforward Compensator

KW - Guidance

KW - Identification

KW - Shunting Method

KW - Variable-Structure System

UR - http://www.scopus.com/inward/record.url?scp=33645381258&partnerID=8YFLogxK

U2 - 10.3166/ejc.11.71-79

DO - 10.3166/ejc.11.71-79

M3 - Article

AN - SCOPUS:33645381258

VL - 11

SP - 71

EP - 79

JO - European Journal of Control

JF - European Journal of Control

SN - 0947-3580

IS - 1

ER -