Actuator fault reconstruction based on adaptive sliding mode observer for unmatched nonlinear system

2018 ◽  
Author(s):  
HAN Si-cong ◽  
GUO Chuang
Keyword(s):  
Nonlinear System ◽  
Sliding Mode ◽  
Sliding Mode Observer ◽  
Actuator Fault ◽  
Adaptive Sliding Mode ◽  
Fault Reconstruction

Adaptive Sliding Mode Observer-Based Robust Fault Reconstruction for a Helicopter With Actuator Fault

2015 ◽  
Vol 18 (4) ◽  
pp. 1558-1565 ◽  
Author(s):  
Fuyang Chen ◽  
Kangkang Zhang ◽  
Bin Jiang ◽  
Changyun Wen
Keyword(s):  
Sliding Mode ◽  
Sliding Mode Observer ◽  
Actuator Fault ◽  
Adaptive Sliding Mode ◽  
Fault Reconstruction

Development of a Self-Parameter Tuning Based Adaptive Sliding Mode Observer for Input Fault Reconstruction of Longitudinal Autonomous Driving

2020 ◽  
Author(s):  
Tae-Jun Song ◽  
Kwang-Seok Oh ◽  
Jong-Min Lee ◽  
Kyong-Su Yi
Keyword(s):  
Sliding Mode ◽  
Parameter Tuning ◽  
Autonomous Driving ◽  
Sliding Mode Observer ◽  
Recursive Least Squares ◽  
Adaptive Sliding Mode ◽  
Adaptive Parameter ◽  
Fault Reconstruction ◽  
Injection Parameter ◽  
Evaluation Algorithm

Abstract This paper presents an adaptive sliding mode observer for input fault reconstruction of longitudinal autonomous driving. Sliding mode observer is the robust observer against disturbance, which is used to reconstruct the fault and state estimation. In order to design the injection parameter for sliding mode observer, the boundary of errors that include the fault is required. However, it is difficult to expect the fault magnitude for design the injection parameter. The proposed method is to estimate the proportional constant from the relationship between output error and injection parameter based on recursive least squares. Then, it is used to update the adaptive parameter based on MIT rule. The performance evaluation algorithm was conducted in Matlab/Simulink environment using actual longitudinal driving data and 3-dimensions vehicle model with the applied various faults.

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