Robust fault diagnosis of disturbed linear systems via a sliding mode high order differentiator

Bejarano, Francisco Javier; Figueroa, M.; Pacheco, Jaime; Rubio, José de Jesús

doi:10.1080/00207179.2012.661463

Cited by 16 publications

(10 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…there exist a constantω such that |ω| ≤ |ω|. In [26], it was stated that the auxiliary system (18) is stabilized and achievied s = 0 by selecting the controller gains as in (17). From (14), it follows that x r ≡ φ r−1 .…”

Section: Control Designmentioning

confidence: 97%

“…The effect of the perturbations and actuator faults are thus handle as additive time-varying unknown inputs that can be identified by a HOSM observer [16,17]. To achieve the control design, first a finite time convergent HOSM observer is used to estimate the state and identify the actuator faults as well as the unmatched perturbations and its successive derivatives based on the available output measurements [18].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Robust Output Tracking of a 3DOF Helicopter via High-Order Sliding Mode Observers

Loza¹,

Cieslak²,

Henry³

et al. 2015

Advances in Aerospace Guidance, Navigation and Control

View full text Add to dashboard Cite

Abstract. This paper tackles the output tracking problem of a MIMO system subjected to actuator faults and unmatched perturbations. The proposed methodology is based on high order sliding mode observation and identification techniques. A dynamic sliding surface is proposed using a nested-backward design strategy in order to counteract the effects of the unmatched perturbations. A super-twisting control is used to steer the state to the sliding surface. The identified value of the fault is injected to alleviate the control gain while accomplishing fault accommodation. As a consequence, the chattering is attenuated. A simulation example for a 3 − DOF helicopter highlights the efficiency of the present method.

show abstract

Section: Control Designmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Robust Output Tracking of a 3DOF Helicopter via High-Order Sliding Mode Observers

Loza¹,

Cieslak²,

Henry³

et al. 2015

Advances in Aerospace Guidance, Navigation and Control

View full text Add to dashboard Cite

show abstract

“…Proposition 1: Under the assumption that A1 and A2 are satisfied, the sensor faults of the system (1), (2) are estimated by means of the state observer (7), (8), (16) and the following relationf = y f − C fx (17) in the presence of bounded disturbances v(t).…”

Section: Derive a Linear Combination Of M 2 E(t) Unaffected By The Unmentioning

confidence: 99%

Sensor fault diagnosis using a non‐homogeneous high‐order sliding mode observer with application to a transport aircraft

Loza

Cieslak

Henry

et al. 2015

IET Control Theory & Applications

View full text Add to dashboard Cite

In avionics and aerospace multisensor systems, reliable and early detection of individual sensor faults present substantial challenges to health monitoring designers of such systems. This study addresses the problem of sensor fault diagnosis. The proposed solution is based on a non-homogeneous high-order sliding mode observer used to estimate the faults, theoretically in finite time and in the presence of bounded disturbances. The sensor faults are estimated for the class of systems satisfying the structural property of strong observability. A key feature of the proposed solution is concerned by the effect that measurement noise could have on fault reconstruction. It is shown that the fault estimation error is bounded in the L ∞ -norm sense, and an upper bound is theoretically derived. The method is applied to the problem of sensor fault estimation of a large transport aircraft. Simulation results as well as a pilot experiment are presented to demonstrate the potential of the proposed method.

show abstract

“…Other approach consists in using unknown input observers, which allows for the estimation of the faults also, see for instance Hammouri and Tmarc (2010), Hou and Patton (1998), Hui and Zak (2005) and Xiong and Saif (2003). In Bejarano (2011) and Bejarano, Figueroa, Pacheco, and Rubio (2012) one can find a procedure to reconstruct the fault signals of linear systems that may be affected by disturbances also. There, the fault reconstruction is carried out directly without the need of any observer.…”

Section: Introductionmentioning

confidence: 98%

Robust fault diagnosis of disturbed linear systems via a sliding mode high order differentiator

Cited by 16 publications

References 22 publications

Robust Output Tracking of a 3DOF Helicopter via High-Order Sliding Mode Observers

Robust Output Tracking of a 3DOF Helicopter via High-Order Sliding Mode Observers

Sensor fault diagnosis using a non‐homogeneous high‐order sliding mode observer with application to a transport aircraft

Functional unknown input reconstruction of descriptor systems: Application to fault detection

Contact Info

Product

Resources

About