Robust sensor fault reconstruction using right eigenstructure assignment

2006 ◽  
Author(s):  
Chee Pin Tan ◽  
C. Edwards ◽  
Ye Chow Kuang
Keyword(s):  
Eigenstructure Assignment ◽  
Sensor Fault ◽  
Fault Reconstruction

Research of Redundancy Management on Dual-Redundancy Brushless Direct Current Electric Rudder Loop

2011 ◽  
Vol 383-390 ◽  
pp. 1965-1970
Author(s):  
Hong Bing Ye ◽  
Xin Chen
Keyword(s):  
Direct Current ◽  
Fault Tolerant ◽  
Fault Management ◽  
System Software ◽  
Sensor Fault ◽  
Redundancy Management ◽  
Fault Monitoring ◽  
Fault Reconstruction ◽  
Software And Hardware ◽  
Switch Module

Redundancy technique is an effective method to improve the ability of mission reliability, safety reliability and fault tolerant. With redundancy technique, it will increase additional system software and hardware resources, such as fault monitor module and channel switch module etc. In allusion to sensor fault, serial fault, controller fault and motor fault, this paper designs and researches the strategy of fault logic, fault management and fault reconstruction, appropriately distributes the system resources, thus effectively processes fault monitoring and isolating, and sufficiently improves mission reliability, safety reliability and fault tolerant ability of the dual-redundancy brushless direct current electric rudder loop.

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 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.

Sign in / Sign up

Export Citation Format

Share Document