ROBUST SENSOR FAULT RECONSTRUCTION FOR NONLINEAR SYSTEMS USING OBSERVERS

2012 ◽  
Vol 22 (02) ◽  
pp. 1250031 ◽  
Author(s):  
CHANGFAN ZHANG ◽  
XINZHI LIU ◽  
JING HE
Keyword(s):  
Computer Simulation ◽  
Nonlinear Systems ◽  
Sliding Mode ◽  
State Equation ◽  
Adaptive Observer ◽  
Sensor Fault ◽  
Simulation Experiments ◽  
Reconstruction Scheme ◽  
Fault Reconstruction ◽  
Output Equation

This paper considers a sensor fault reconstruction scheme for nonlinear systems, using the sliding mode observer and adaptive observer. The novelty of this contribution is that we consider the disturbances represented in both the state equation and the output equation. Computer simulation experiments are carried out to demonstrate the effectiveness of the proposed design.

scholarly journals Fault Reconstruction Based on Sliding Mode Observer for Nonlinear Systems

2012 ◽  
Vol 2012 ◽  
pp. 1-22 ◽  
Author(s):  
Jing He ◽  
Changfan Zhang
Keyword(s):  
Nonlinear Systems ◽  
Sliding Mode ◽  
Variable Structure ◽  
Unknown Input ◽  
Robot System ◽  
Third Order ◽  
Reconstruction Scheme ◽  
Fault Reconstruction ◽  
Single Link ◽  
Sliding Mode Variable Structure

This paper presents a precision fault reconstruction scheme for a class of nonlinear systems involving unknown input disturbances. First, using the coordinate transformation algorithm, the disturbances and faults of the system are fully decoupled. Therefore, it is possible to eliminate the influence of disturbances to the system, namely, better disturbances robustness. On this basis, the design of a sliding mode state observer makes the most genuine reconstruction realizable, instead of estimation of faults. Furthermore, with the equivalent principle of sliding mode variable structure, the precision reconstruction of arbitrary nonlinear faults is achieved. Finally, the applications of fault reconstruction in a third-order nonlinear theoretical model with disturbances and in a single-link robot system, respectively, have demonstrated the validity of the proposed scheme.

scholarly journals Robust Sensor Fault Reconstruction via a Bank of Second-Order Sliding Mode Observers for Aircraft Engines

Energies ◽  
2019 ◽  
Vol 12 (14) ◽  
pp. 2831
Author(s):  
Zijian Qiang ◽  
Jinquan Huang ◽  
Feng Lu ◽  
Xiaodong Chang
Keyword(s):  
Robust Design ◽  
Sliding Mode ◽  
Numerical Study ◽  
Second Order ◽  
Aircraft Engines ◽  
Sensor Faults ◽  
Sensor Fault ◽  
Fault Reconstruction ◽  
Sliding Mode Observers ◽  
Second Order Sliding Mode

This paper deals with sensor faults of aircraft engines under uncertainties using a bank of second-order sliding mode observers (SMOs). In view of the effect of inevitable uncertainties on the fault reconstruction, a method combining H ∞ concepts and linear matrix inequalities (LMIs) is proposed, in which a scaling matrix is designed to minimize the gain of the transfer function matrix from uncertainty to reconstruction. However, robust design generally requires that engine outputs outnumber faults. In the case where the above-mentioned requirement is not satisfied, a bank of sliding mode observers is proposed to ensure the degrees of freedom available in robust design. In specific, each observer corresponds to a certain sensor with the hypothesis that the corresponding sensor will not have faults, to create one degree of design freedom for each observer. After fault occurrence, a large estimation error is expected in the observers with wrong hypothesis, and then a logic module is designed to detect sensor faults and obtain the optimal robust sensor fault reconstruction at the same time. The proposed approach is applied to a nonlinear engine component-level-model (CLM) simulation platform, and a numerical study is performed to validate the effectiveness.

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