Model reference adaptive control of continuous-time systems with an unknown input dead-zone

2003 ◽  
Vol 150 (3) ◽  
pp. 261-266 ◽  
Author(s):  
X.-S. Wang ◽  
H. Hong ◽  
C.-Y. Su
Keyword(s):  
Adaptive Control ◽  
Continuous Time ◽  
Dead Zone ◽  
Model Reference Adaptive Control ◽  
Unknown Input ◽  
Model Reference ◽  
Continuous Time Systems ◽  
Model Reference Adaptive ◽  
Time Systems

scholarly journals Robust Model Reference Adaptive Control for Tail-Sitter VTOL Aircraft

Actuators ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 162
Author(s):  
Ahmed R. Ajel ◽  
Amjad J. Humaidi ◽  
Ibraheem Kasim Ibraheem ◽  
Ahmad Taher Azar
Keyword(s):  
Adaptive Control ◽  
Stability Analysis ◽  
Dead Zone ◽  
Tracking Error ◽  
Model Reference Adaptive Control ◽  
Roll Motion ◽  
Wind Disturbance ◽  
Model Reference ◽  
Adaptive Laws ◽  
Model Reference Adaptive

This study presents a control design of roll motion for a vertical take-off and landing unmanned air vehicle (VTOL-UAV) design based on the Model Reference Adaptive Control (MRAC) scheme in the hovering flight phase. The adaptive laws are developed for the UAV system under nonparametric uncertainty (gust and wind disturbance). Lyapunov-based stability analysis of the adaptive controlled UAV system under roll motion has been conducted and the adaptive laws have been accordingly developed. The Uniform Ultimate Boundness (UUB) of tracking error has been proven and the stability analysis showed that the incorporation of dead-zone modification in adaptive laws could guarantee the uniform boundness of all signals. The computer simulation has been conducted based on a proposed controller for tracking control of the roll motion. The results show that the drift, which appears in estimated gain behaviors due to the application of gust and wind disturbance, could be stopped by introducing dead-zone modification in adaptive laws, which leads to better robustness characteristics of the adaptive controller.

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