A fault tolerant control allocation scheme with output integral sliding modes

Hamayun, Mirza Tariq; Edwards, Christopher; Alwi, Halim

doi:10.1016/j.automatica.2013.02.043

Cited by 94 publications

(83 citation statements)

References 27 publications

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“…However, one key point for successfully re-allocating the control is the availability of adequate information about the faults that have occurred; indeed, some accurate fault estimation and/or a correct identification of the faulty actuators or effectors are necessary to address the reconfiguration. Recent results toward fault tolerant control allocation are based on slidingmode techniques [7] [14], adaptive control strategies [5] [18] [19] and unknown input observers [8] [9]. Further investigations on this topic, with a more application-oriented character, are proposed for reconfiguration in flight control [4], [22], [20] and fault accommodation in automated underwater vehicles [17].…”

Section: Introductionmentioning

confidence: 99%

Fault-tolerant control allocation with actuator dynamics: Finite-time control reconfiguration

Cristofaro

Johansen

2014

53rd IEEE Conference on Decision and Control

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Abstract-This paper focuses on fault tolerant control allocation for overactuated systems with actuator dynamics. The proposed scheme for fault detection and isolation is based on unknown input observers and the main contribution of the paper consists in the presentation of a finite-time control reconfiguration technique which provides a successful recovering of system performances in spite of actuator faults. Simulation results support theoretical developments.

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Section: Introductionmentioning

confidence: 99%

Fault-tolerant control allocation with actuator dynamics: Finite-time control reconfiguration

Cristofaro

Johansen

2014

53rd IEEE Conference on Decision and Control

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“…The magnitude of ∥B 1 ∥ therefore represents a measure of how perfect the factorization is, and the smaller ∥B 1 ∥ is the more easily the small gain condition in [16] is satisfied. (For further details see the appendix -specifically equation (23) and (25). )…”

Section: Design Proceduresmentioning

confidence: 99%

“…(Note that in equation (1) x(t) may include both plant states and compensator states [25]). The square matrix K(t) represents the effectiveness gain and has the form…”

Section: Design Proceduresmentioning

confidence: 99%

Sliding-Mode Propulsion-Control Tests on a Motion Flight Simulator

Alwi¹,

Edwards²,

Stroosma³

et al. 2015

Journal of Guidance, Control, and Dynamics

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This paper describes a fault tolerant sliding mode control allocation scheme capable of coping with the loss of all control surfaces, resulting from a failure of the hydraulics system, during which time the scheme only utilizes the engines to control the aircraft. The paper presents tests of the scheme implemented on a 6-DOF motion research flight simulator of Delft University of Technology, called SIMONA (acronym for SImulation MOtion and NAvigation) research simulator, using a realistic manoeuvre involving an emergency return to a near landing condition on a runway in response to the failure. The simulator results show that, not only does the controller provide high tracking performance during nominal fault-free conditions, this performance is also maintained after the total loss of all control surfaces. This shows the capability of the proposed sliding mode control allocation scheme to achieve and maintain desired performance levels using only propulsion, by redistributing the control signals to the engines when failures occur.

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“…Hou, et al designed UIO-based fault estimation method in the case where the number of the independent faults was larger than that of the independent measurements, and it also needs derivative of output, but derivative of output is hard to get [9]. In order to estimate actuator faults, Hamayun et al designed sliding mode observer, but it also requires the number of the independent faults was larger than that of the independent measurements [10]. These two methods are both have limitations, and hard to meet requirements.…”

Section: Introductionmentioning

confidence: 99%

A Fault Estimation Method Based on UIO Robust Residual Generators

Liu

Feng

Zhang

et al. 2016

MATEC Web of Conferences

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Abstract. This paper proposed a fault estimation method based on robust residual generators for a linear system. A system with additive actuator or component faults was considered in the case where the number of the independent faults was larger than that of the independent measurements. This method was achieved based on UIO robust residual generators and there was no need to design extra fault estimators. In this method, fault estimation was achieved via three steps. First, codingsets, which describe the sensitivity relationship between faults and generators, are designed. Second, a bank of robust residual generators are designed according to the coding sets. Finally, fault estimation is achieved by using the result of fault isolation and the output of robust residual generators. A sufficient condition on the application of the method was given and the asymptotic convergence property of the estimation error by using the method was proved. Simulation results demonstrate the effectiveness of the method.

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A fault tolerant control allocation scheme with output integral sliding modes

Cited by 94 publications

References 27 publications

Fault-tolerant control allocation with actuator dynamics: Finite-time control reconfiguration

Fault-tolerant control allocation with actuator dynamics: Finite-time control reconfiguration

Sliding-Mode Propulsion-Control Tests on a Motion Flight Simulator

A Fault Estimation Method Based on UIO Robust Residual Generators

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