A multiple model–based fault detection and diagnosis approach for a helicopter with actuator faults and disturbances is developed in this article. Particularly, the actuator is locked in-place and does not respond to subsequent commands. A multiple model scheme is proposed to detect and isolate the faults. In the multiple model scheme, a series of parallel observers are constructed, each of which is based on a model that describes the system in the presence of a particular actuator fault. In addition, quantum information technique is used to choose which model matches the current system. Furthermore, to estimate the locked position, a robust fast adaptive fault estimation algorithm based on linear matrix inequality technique is proposed by considering the disturbances. Finally, the simulation results show the efficiency of this scheme.
ChowEWillskyA. Analytical redundancy and the design of robust failure detection systems. IEEE T Automat Contr1984; 29: 603–614.
2.
FrankPM. Enhancement of robustness in observer-based fault detection. Int J Control1994; 59: 955–981.
3.
JaehongPRizzoniG. An eigenstructure assignment algorithm for the design of fault detection filters. IEEE T Automat Contr1994; 39: 1521–1524.
4.
PattonRJFrankPClarkR. Fault diagnosis in dynamic systems: theory and application. Englewood Cliffs, NJ: Prentice Hall, 1989.
5.
WangHDaleyS. Actuator fault diagnosis: an adaptive observer-based technique. IEEE T Automat Contr1996; 41: 1073–1078.
6.
JiangBStaroswieckiMCocquempotV. Fault accommodation for nonlinear dynamic systems. IEEE T Automat Contr2006; 51(9): 1578–1583.
7.
JiangBWangJLSohYC. An adaptive technique for robust diagnosis of faults with independent effects on system outputs. Int J Control2002; 75(11): 792–802.
8.
IsermannR. Process fault detection based on modeling and estimation methods—a survey. Automatica1984; 20: 387–404.
9.
XuYJiangBGaoZ. Modeling analysis and adaptive observer based fault diagnosis for Near Space Vehicle. In: Proceedings of the 7th Asian Control Conference ASCC, 2009, pp.1114–1119.
10.
DemetriouM. Robust adaptive techniques for sensor fault detection and diagnosis. In: Proceedings of the 37th IEEE decision and control conference, 1998, pp.1143–1148. IEEE.
11.
ChenJPattonRJZhangH-Y. Design of unknown input observers and robust fault detection filters. Int J Control1996; 63: 85–105.
12.
DuanG-RPattonRJ. Robust fault detection using Luenberger-type unknown input observers—a parametric approach. Int J Control2001; 32: 533–540.
13.
TanCPEdwardsC. Sliding mode observers for reconstruction of simultaneous actuator and sensor faults. In: Proceedings of 42nd IEEE decision and control conference on. 2003; pp.1455–1460. IEEE.
14.
EdwardsCSpurgeonSKPattonRJ. Sliding mode observers for fault detection and isolation. Automatica2000; 36(4): 541–553.
15.
WangDShiPWangW. Robust fault detection for continuous-time switched delay systems: an linear matrix inequality approach. IET Control Theory A2010; 4(1): 100–108.
16.
ShumskyAZhirabokAJiangB. Fault accommodation in nonlinear and linear dynamic systems: fault decoupling based approach. Int J Innov Comput I2011; 7(7): 4535–4550.
17.
BenzaouiaAOuladsineMNaamaneA. Fault detection for uncertain delayed switching discrete-time systems. Int J Innov Comput I2012; 8(12): 8049–8062.
18.
YinYShiPLiuF. Gain-scheduled robust fault detection on time-delay stochastic nonlinear systems. IEEE T Ind Electron2011; 58(10): 4908–4916.
19.
FisherKAMaybeckPS. Multiple model adaptive estimation with filter spawning. IEEE T Aero Elec Sys2002; 38(3): 755–768.
ZhangYLiXR. Detection and diagnosis of sensor and actuator failures using IMM estimator. IEEE T Aero Elec Sys1998; 34(4): 1293–1313.
22.
ChenZHDongDYZhangCB. Quantum control theory. Hefei, China: University of Science and Technology of China Press, 2005.
23.
CongS. Quantum system control survey of progress in quantum control system. Chin J Quant Electron2003; 20(1): 1–9.
24.
ChenFYJiangBDuanYY. Fault self-repairing flight control of a small helicopter via quantum control techniques. In: Proceedings of international Bhurban conference on applied sciences and technology, Islamabad, Pakistan, 11–14 January 2011, pp.184–188.
25.
DongDYChenCL. Incoherent control of quantum systems with wavefunction-controllable subspaces via quantum reinforcement learning. IEEE T Syst Man Cyb2008; 38(4): 957–962.
26.
ChenFJiangBJiangC. Self-repairing control for UAVs via quantitative feedback theory and quantum control techniques. Proced Eng2011; 15: 1160–1165.
27.
ChenFJiangBTaoG. Fault self-repairing flight control of a small helicopter via fuzzy feedforward and quantum control techniques. Cogn Comput2012; 4(4): 543–548.
28.
ZhangKJiangBCocquempotV. Adaptive observer-based fast fault estimation. Int J Control Autom2008; 6(3): 320–326.
29.
WangDHuangJLGuoG. An FDI approach for aircraft actuator lock-in-place fault. In: IEEE international conference on control and automation, Guangzhou, China, 30 May–1 June 2007, pp.2999–3003. New York: IEEE.
30.
BoskovicJDMehraRK. A robust adaptive reconfigurable flight control scheme for accommodation of control effector failures. J Guid Control Dynam2002; 25(4): 712–724.
31.
Quanser Inc. 3-DOF helicopter reference manual (document number 644/revision 2.1), 2007, Markham, ON, Canada: Quanser Inc.
