Title :
Fault detection for partial loss of effectiveness faults of actuators in a quadrotor unmanned helicopter
Author :
Yu Bin ; Youmin Zhang ; Yingmin Yi ; Yaohong Qu ; Peng Lu
Author_Institution :
Dept. of Mech. & Ind. Eng., Concordia Univ., Montreal, QC, Canada
Abstract :
This paper presents and implements a method to detect actuator faults (loss of effectiveness) for a quadrotor unmanned helicopter (known as the Qball-X4) altitude control. Fault model is presented with the first principle physical modeling method. Mathematical model is further adjusted based on the grey-light-box scheme to adjust the model parameters and reduce model uncertainty of the Qball-X4. The Kalman filter is used for the fault detection and state estimation purpose with integration of a LQ (linear quadratic) technique based controller for controlling the altitude of the Qball-X4. The benefit of using this method is that it is robust to the process and measurement noises. The method is implemented and experimentally tested in the platform of the Qball-X4 helicopter.
Keywords :
Kalman filters; actuators; autonomous aerial vehicles; fault diagnosis; helicopters; linear quadratic control; mobile robots; spatial variables control; state estimation; Kalman filter; LQ technique; Qball-X4 altitude control; actuator effectiveness faults; fault detection; fault model; first principle physical modeling method; grey-light-box scheme; linear quadratic technique; mathematical model; quadrotor unmanned helicopter; state estimation; Batteries; Helicopters; MATLAB; Mathematical model; Noise measurement; Fault detection; Flight test; Model adjustment; Modelling; State estimation; the Kalman fitter;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
DOI :
10.1109/WCICA.2014.7053244