scholarly journals Sensor Fault Detection, Localization, and System Reconfiguration with a Sliding Mode Observer and Adaptive Threshold of PMSM

2016 ◽  
Vol 16 (3) ◽  
pp. 1012-1024 ◽  
Author(s):  
Aibeche Abderrezak ◽  
Kidouche Madjid
Keyword(s):  
Fault Detection ◽  
Sliding Mode ◽  
Adaptive Threshold ◽  
Sliding Mode Observer ◽  
Sensor Fault ◽  
System Reconfiguration ◽  
Sensor Fault Detection

scholarly journals Sensor Fault Reconstruction based on Adaptive Sliding Mode Observer for Forklift Fault-Tolerant Control System

2020 ◽  
Vol 10 (4) ◽  
pp. 1278
Author(s):  
Zhilu Zhang ◽  
Benxian Xiao
Keyword(s):  
Control System ◽  
Fault Detection ◽  
Fault Tolerant ◽  
Sliding Mode ◽  
Fault Tolerant Control ◽  
State Equation ◽  
Sliding Mode Observer ◽  
Sensor Fault ◽  
Adaptive Sliding Mode ◽  
Sensor Fault Detection

For the problem of multiple sensor fault detection and reconstruction in the forklift fault-tolerant control system, a sliding mode observer (SMO) with adaptive regulation law is proposed. Based on the three-degree-of-freedom (3-DOF) model of forklift, a linear state equation with output disturbance is designed as its equivalent sensor fault model. The sensor fault is converted into an actuator fault by defining an auxiliary state variable as an output signal filter. Then the SMO-based method of sensor fault detection and reconstruction is given. Without knowing the upper bound of an unknown fault, an adaptive sliding mode observer (ASMO) can also be effective through the adaptive algorithm. Finally, experimental results further verify the effectiveness of the method, and provide a foundation for forklift fault-tolerant control.

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