Sensor Fault detection and fault tolerant control of induction motor drivers for electric vehicles

2012 ◽  
Author(s):  
Shicai Fan ◽  
Jianxiao Zou
Keyword(s):  
Fault Detection ◽  
Induction Motor ◽  
Electric Vehicles ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Sensor Fault ◽  
Sensor Fault Detection

scholarly journals DSP-Based Sensor Fault Detection and Post Fault-Tolerant Control of an Induction Motor-Based Electric Vehicle

2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Bekheïra Tabbache ◽  
Mohamed Benbouzid ◽  
Abdelaziz Kheloui ◽  
Jean-Matthieu Bourgeot
Keyword(s):  
Fault Detection ◽  
Induction Motor ◽  
Electric Vehicle ◽  
Fault Tolerant ◽  
Direct Torque Control ◽  
Fault Tolerant Control ◽  
Torque Control ◽  
Sensor Fault ◽  
Current Voltage ◽  
Sensor Fault Detection

This paper deals with sensor fault detection within a reconfigurable direct torque control of an induction motor-based electric vehicle. The proposed strategy concerns current, voltage, and speed sensors faults that are detected and followed by post fault-tolerant control to allow the vehicle continuous operation. The proposed approach is validated through experiments on an induction motor drive and simulations on an electric vehicle using a European urban and extraurban driving cycle.

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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