In this study, first a model predictive control (MPC) solution is utilized to control the quadrotor model in both fault-free and faulty modes by employing a cost function. For this aim, the obtained non-linear continuous model has been discretized after linearization around an equilibrium point. Then, a fault detection and diagnosis (FDD) and fault tolerant control (FTC) strategy is proposed based on MPC in order to neutralize the effect of fault. The method of FDD and FTC designing is based on analytical redundancy relations (ARRs) which detects and tolerates the fault by producing a residual signal. Therefore, this method presents a complete FTC solution to fault issue without using observer. In addition, this solution has robustness against the uncertainties and disturbances which may challenge the model in practical situations. The discussed fault in this paper is a sensor fault which is modeled as an undesired function which affects the sensor of roll angle. However, the proposed FTC can tolerate all types of faults. The results of implementation of this method are validated under various simulation scenarios.
AboutalebiPAbbaspourAForouzannezhadP, et al. (2018) A novel sensor fault detection in an unmanned quadrotor based on adaptive neural observer. Journal of Intelligent & Robotic Systems90: 473–484.
2.
Al YounesYRabhiANouraH, et al. (2016) Sensor fault diagnosis and fault tolerant control using intelligent-output-estimator applied on quadrotor UAV. In: 2016 international conference on unmanned aircraft systems (ICUAS), Arlington, VA, 7–10 June, pp. 1117–1123. New York: IEEE.
3.
BenrezkiRTadjineMYacefF, et al. (2015) Passive fault tolerant control of quadrotor UAV using a nonlinear PID. In: 2015 IEEE international conference on robotics and biomimetics (ROBIO), Zhuhai, China, 6–9 December, pp. 1285–1290. New York: IEEE.
4.
BlankeMKinnaertMLunzeJ, et al. (2006) Diagnosis and Fault-Tolerant Control. Berlin: Springer.
5.
BouabdallahSNothASiegwartR (2004) PID vs LQ control techniques applied to an indoor micro quadrotor. In: 2004 IEEE/RSJ international conference on intelligent robots and systems (IROS) (IEEE Cat. No. 04CH37566), Sendai, Japan, 28 September, pp. 2451–2456. New York: IEEE.
6.
CenZNouraHSusiloTB, et al. (2014) Robust fault diagnosis for quadrotor UAVs using adaptive Thau observer. Journal of Intelligent & Robotic Systems73: 573–588.
7.
DingDWangZHanQ-L (2019) A set-membership approach to event-triggered filtering for general nonlinear systems over sensor networks. IEEE Transactions on Automatic Control65: 1792–1799.
8.
EmamiSABanazadehA (2020) Fault-tolerant predictive trajectory tracking of an air vehicle based on acceleration control. IET Control Theory & Applications14: 750–762.
9.
FazalQLiaquatMIftikharM (2016) Robust fault tolerant control of an unmanned aerial vehicle in the presence of actuator faults. In: 2016 IEEE/ION position, location and navigation symposium (PLANS), Savannah, GA, 11–14 April, pp. 757–763. New York: IEEE.
10.
IslamSLiuPEl SaddikA (2014) Nonlinear adaptive control for quadrotor flying vehicle. Nonlinear Dynamics78: 117–133.
11.
JungWBangH (2021) Fault and failure tolerant model predictive control of quadrotor UAV. International Journal of Aeronautical and Space Sciences22: 663–675.
12.
LiuSLyuPLaiJ, et al. (2019) A fault-tolerant attitude estimation method for quadrotors based on analytical redundancy. Aerospace Science and Technology93: 105290.
13.
LiuZYuanCZhangY, et al. (2016) A learning-based fault tolerant tracking control of an unmanned quadrotor helicopter. Journal of Intelligent & Robotic Systems84: 145–162.
14.
LyuPLiuSLaiJ, et al. (2019) An analytical fault diagnosis method for yaw estimation of quadrotors. Control Engineering Practice86: 118–128.
15.
MerhebA-RNouraHBatemanF (2013) Passive fault tolerant control of quadrotor UAV using regular and cascaded sliding mode control. In: 2013 conference on control and fault-tolerant systems (SysTol), Nice, 9–11 October, pp. 330–335. New York: IEEE.
16.
MerhebA-RNouraHBatemanF (2014) Active fault tolerant control of quadrotor UAV using sliding mode control. In: 2014 international conference on unmanned aircraft systems (ICUAS), Orlando, FL, 27–30 May, pp. 156–166. New York: IEEE.
17.
MohammadiARamezaniA (2021) An analytical robust sensor fault detection and fault tolerant control in quadrotor. Automatic Control and Computer Sciences55: 38–52.
18.
MohammadiMShahriAM (2013) Adaptive nonlinear stabilization control for a quadrotor UAV: Theory, simulation and experimentation. Journal of Intelligent & Robotic Systems72: 105–122.
19.
MouhssineNKabbajMNBenbrahimM, et al. (2017) Sensor fault detection of quadrotor using nonlinear parity space relations. In: 2017 international conference on electrical and information technologies (ICEIT), Rabat, Morocco, 15–18 November, pp. 1–6. New York: IEEE.
20.
NianXChenWChuX, et al. (2020) Robust adaptive fault estimation and fault tolerant control for quadrotor attitude systems. International Journal of Control93: 725–737.
21.
QinLHeXYanR, et al. (2017) Active fault-tolerant control for a quadrotor with sensor faults. Journal of Intelligent & Robotic Systems88: 449–467.
22.
RotondoDNejjariFPuigV (2015) Robust quasi–LPV model reference FTC of a quadrotor UAV subject to actuator faults. International Journal of Applied Mathematics and Computer Science25: 7–22.
23.
SadeghzadehIMehtaAZhangY, et al. (2011) Fault-tolerant trajectory tracking control of a quadrotor helicopter using gain-scheduled PID and model reference adaptive control. Annual Conference of the Prognostics and Health Management Society. Available at: https://papers.phmsociety.org/index.php/phmconf/article/view/2053
24.
SharifiFMirzaeiMGordonBW, et al. (2010) Fault tolerant control of a quadrotor UAV using sliding mode control. In: 2010 conference on control and fault-tolerant systems (SysTol), Nice, 6–8 October, pp. 239–244. New York: IEEE.
25.
ShuQYangPWangY, et al. (2018) Fault tolerant predictive control based on discrete-time sliding mode observer for quadrotor UAV. Journal of Advanced Computational Intelligence and Intelligent Informatics22: 498–505.
26.
SongHDingDDongH, et al. (2020) Distributed maximum correntropy filtering for stochastic nonlinear systems under deception attacks. IEEE Transactions on Cybernetics52: 3733–3744.
27.
SongYHuangXWenC (2017) Robust adaptive fault-tolerant PID control of MIMO nonlinear systems with unknown control direction. IEEE Transactions on Industrial Electronics64: 4876–4884.
28.
TanJFanYYanP, et al. (2019) Sliding mode fault tolerant control for unmanned aerial vehicle with sensor and actuator faults. Sensors19: 643.
29.
TranT-TGeSSHeW (2018) Adaptive control of a quadrotor aerial vehicle with input constraints and uncertain parameters. International Journal of Control91: 1140–1160.
30.
YuBZhangYQuY (2015) MPC-based FTC with FDD against actuator faults of UAVs. In: 15th international conference on control, automation and systems (ICCAS), Busan, South Korea, 13–16 October 2015, pp. 225–230. New York: IEEE.
