Robust control and actuator fault detection based on an iterative LMI approach application on a quadrotor /

Linear Matrix Inequalities (LMIs) have recently gained momentum due to the increasing performance of computing hardware. Many current research activities rely on the advantages of this growth in order to design controllers with provable stability and performance guarantees. To guarantee robustness d...

Teljes leírás

Elmentve itt :
Bibliográfiai részletek
Szerzők: Benzinane Oussama
Rauh Andreas
Dokumentumtípus: Cikk
Megjelent: University of Szeged, Institute of Informatics Szeged 2024
Sorozat:Acta cybernetica 26 No. 4
Kulcsszavak:Irányításelmélet, Robotika, Szabályozástechnika, Automatizálás, Vezérléstechnika, Alkalmazott matematika
Tárgyszavak:
doi:10.14232/actacyb.301392

Online Access:http://acta.bibl.u-szeged.hu/86996
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245 1 0 |a Robust control and actuator fault detection based on an iterative LMI approach  |h [elektronikus dokumentum] :  |b application on a quadrotor /  |c  Benzinane Oussama 
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490 0 |a Acta cybernetica  |v 26 No. 4 
520 3 |a Linear Matrix Inequalities (LMIs) have recently gained momentum due to the increasing performance of computing hardware. Many current research activities rely on the advantages of this growth in order to design controllers with provable stability and performance guarantees. To guarantee robustness despite actuator faults, model uncertainty, nonlinearities, and measurement noise, a novel iterative LMI approach is presented to design an observer-based state feedback controller allowing for simultaneous optimization of the control and observer gains. A comparison with a combination of an Extended Kalman Filter (EKF) and a Linear-Quadratic Regulator (LQR) has been conducted, inherently providing guaranteed stability for the closed loop only when the separation principle holds, which is not the case in this study. Both approaches are applied on a quadrotor, where reliable detection and compensation of the faults in the presence of measurement noise is demonstrated. 
650 4 |a Természettudományok 
650 4 |a Számítás- és információtudomány 
650 4 |a Műszaki és technológiai tudományok 
650 4 |a Villamosmérnöki és informatikai tudományok 
695 |a Irányításelmélet, Robotika, Szabályozástechnika, Automatizálás, Vezérléstechnika, Alkalmazott matematika 
700 0 1 |a Rauh Andreas  |e aut 
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