Actuator Faults Estimation for a Helicopter UAV in the Presence of Disturbances

Journal of control, automation and electrical systems

article

Faraji, Alireza¹  Nejati, Zahra¹  Abedi, Mostafa² 

[1] Electrical and Computer Engineering Department, University of Kashan;Electrical Engineering Department, University of Shahid Beheshti

关键词: Helicopter unmanned aerial vehicle;    Fault detection and identification;    Three-stage extended Kalman filter;    Actuator faults;    Fault decoupling;   

DOI  :  10.1007/s40313-020-00621-9

学科分类：自动化工程

来源: Springer

【 摘 要 】

The aim of this paper is to develop robust three-stage extended Kalman filter for a model based on a fault detection and identification for nonlinear hover mode system of helicopter unmanned aerial vehicle. In addition, we show that, in considered systems, the actuator faults are affected by each other motivated in five scenarios simulation results. More precisely, the proposed approach estimates and decouples actuator faults in the presence of external disturbances in nonlinear mathematical model. Moreover, we analyze and identify various faults such as bias fault and also catastrophic faults such as stuck and floating faults. Finally, the simulation results show effectiveness of the proposed robust method for detection and isolation of various actuator faults and differentiating bias and stuck faults.

【 授权许可】

CC BY