Estimation of states, faults and unknown disturbances in non-linear systems

Aldeen, M.; Sharma, Rahul

doi:10.1080/00207170601087937

Cited by 50 publications

(31 citation statements)

References 15 publications

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“…Busawon and Kabore [21] have shown that the conventional Luenberger observer is not adequate for handling measurement noises. Several authors [1][2][3][4][9][10][11][12][13][14][15][16] have solved this problem and proposed different UIO design methods. There exists two conditions checking the existence of a stable UIO [1][2][3][4][9][10][11][12][13][14][15][16].…”

Section: Problem Formulationmentioning

confidence: 99%

“…When the system is subject to the unknown inputs, the standard Luenberger observer can not obtain the perfect estimation. As a result, the design of state observer for systems with unknown inputs, called the unknown input observer (UIO) design, is an important topic in several control applications [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19]. However, these papers [1][2][3][4] only consider the unknown input in the state equation.…”

Section: Introductionmentioning

confidence: 99%

“…Alwi et al [13] proposed an effective sliding mode observer to estimate states and noises for LTI systems with disturbances and measurement noises. Sharma and Aldeen [15,16] decoupled the unknown inputs from the rest of the system through a series of coordinate transformations. There are two necessary and sufficient conditions to check the existence of a stable UIO.…”

Section: Introductionmentioning

confidence: 99%

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Proportional-derivative unknown input observer design using descriptor system approach for non-minimum phase systems

Ting

Chang

Chen

2011

Int. J. Control Autom. Syst.

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This paper considers the problem of estimating the state of an MIMO linear system with unknown inputs in the state and output. Through a series of linear transformations in the state and output equations, the original system can be transformed into a descriptor system form. The proposed proportional derivative observer can accurately estimate the system state and avoid the peaking phenomenon. Moreover, the approach developed in this paper does not require the derivatives of the output and can be applied to the system with unstable zeros (with respect to the relation between the output and the unknown input). Finally, our algorithm can prove the valid feasibility and the property of disturbance attenuation through demonstrating a simulation-base example.

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Section: Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Proportional-derivative unknown input observer design using descriptor system approach for non-minimum phase systems

Ting

Chang

Chen

2011

Int. J. Control Autom. Syst.

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“…If the nonlinear function h x !x$ u$ $ g s $ f i " is differentiable with respect to the state x!t", then this class of the system may be expressed in terms of a linear unforced part, and nonlinear state dependent controlled part [12] and [13]:…”

Section: System Descriptionmentioning

confidence: 99%

Intermittent fault detection on an experimental aircraft fuel rig: Reduce the No Fault Found rate

Sedighi

Foote

Khan

2015

2015 4th International Conference on Systems and Control (ICSC)

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Abstract-In the context of aircraft engineering and maintenance, No Fault Found (NFF) is a chain of events that develops from a pilot experiencing a system malfunction with postflight maintenance failing to reproduce the reported symptoms. Without any repair being undertaken, the malfunction may be experienced again on subsequent flights. This present significant cost impacts to the industry that includes financial, reduced operational achievement, airworthiness challenges and potential flight safety issues. One of the major causes identified for NFF occurrence within electronic, mechanical and hydraulic products are faults that are intermittent in nature. This makes it difficult to use systematic fault detection techniques effectively, as system are subject to unknown disturbances and model uncertainties. The philosophy behind this criterion is that the designed model-based Fault Detection (FD) observer should be robust to disturbances but sensitive to intermittent faults where the occupance of intermittent faults can be alarmed by the use of an adaptive threshold. The aim of this paper is to demonstrate the development of such methodologies and to examine its performance in a real-world test bed. The test bed consists of an aircraft fuel system simulation rig which simulates by hardware the components of an aircraft fuel system.

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“…As a practical alternative approach, disturbance observer based control (DOBC) has been proved to be effective in compensating the effects of unknown external disturbances and model uncertainties in control systems and received a great deal of attention in control society, for example, the last decade's development of DOBC can be seen from Chen, Komada, and Fukuda (2000), , Chen (2003), Guo and Chen (2005), Xia et al (2007), Yoo, Yau, and Gao (2007), Aldeen and Sharma (2008), Shim (2008, 2009), Fujisaki and Befekadu (2009), Han (2009), Shim and Jo (2009), Guo (2009, 2010), Xia et al (2011), , and the references therein. The major merit of the DOBC is that the robustness of the closed-loop system is obtained without sacrificing its nominal control performance (Back and Shim 2008).…”

Section: Introductionmentioning

confidence: 99%

Nonlinear disturbance observer-based control for multi-input multi-output nonlinear systems subject to mismatching condition

Yang

Chen

2012

International Journal of Control

182

117

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Citation: YANG, J., LI, S. and CHEN, W-H., 2012. Nonlinear disturbance observer-based control for multi-input multi-output nonlinear systems subject to mismatching condition. International Journal of Control, 85 (8) For a multi-input multi-output (MIMO) nonlinear system, the existing disturbance observer based control (DOBC) only provides solutions to those whose disturbance relative degree is higher than or equal to its input relative degree. By designing a novel disturbance compensation gain matrix, a generalized nonlinear disturbance observer based control method is proposed in this article to solve the disturbance attenuation problem of the MIMO nonlinear system with arbitrary disturbance relative degree. It is shown that the disturbances are able to be removed from the output channels by the proposed method with appropriately chosen control parameters. The property of nominal performance recovery, which is the major merit of the DOBCs, is retained with the proposed method. The feasibility and effectiveness of the proposed method are demonstrated by simulation studies of both the numerical and application examples.

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Estimation of states, faults and unknown disturbances in non-linear systems

Cited by 50 publications

References 15 publications

Proportional-derivative unknown input observer design using descriptor system approach for non-minimum phase systems

Proportional-derivative unknown input observer design using descriptor system approach for non-minimum phase systems

Intermittent fault detection on an experimental aircraft fuel rig: Reduce the No Fault Found rate

Nonlinear disturbance observer-based control for multi-input multi-output nonlinear systems subject to mismatching condition

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