A fault tolerant control method of EPS based on novel fault diagnosis

The fault tolerant control problem for a DC motor system is investigated in a cloud environment. Packet dropout phenomenon introduced by the limited-capacity communication channel is considered. Actuator faults are taken into consideration and fault diagnosis and fault tolerant control methods towards actuator faults are proposed to enhance the reliability of the whole cloud-based DC motor system. The fault diagnosis unit is then established with purpose of obtaining fault information. When the actuator fault is detected by comparing the residual signal with a predefined threshold, a residual matching approach is utilized to locate the fault. The fault can be further estimated by a least-squares filter. Based on the fault estimation, a fault tolerant controller is designed to guarantee the stability as well as the control performance of the DC motor system. Simulation result on a DC motor system shows the efficiency of the fault tolerant control method proposed in this paper.

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Fault-Tolerant Control for Electric Ground Vehicles With Independently-Actuated In-Wheel Motors

Journal of Dynamic Systems Measurement and Control ◽

10.1115/1.4005050 ◽

2012 ◽

Vol 134 (2) ◽

Cited By ~ 55

Author(s):

Rongrong Wang ◽

Junmin Wang

Keyword(s):

Fault Diagnosis ◽

Electric Vehicles ◽

Control Method ◽

Fault Tolerant ◽

Fault Tolerant Control ◽

Control Effort ◽

Vehicle Architecture ◽

Force Modeling ◽

Road Friction ◽

Diagnosis Approach

This paper presents an in-wheel motor fault diagnosis and fault-tolerant control method for four-wheel independently actuated (4WIA) electric vehicles. The 4WIA electric vehicle is one of the promising architectures for electric vehicles. While such a vehicle architecture greatly increases the flexibility for vehicle control, it also elevates the requirements on system reliability, safety, and fault tolerance due to the increased number of actuators. A fault diagnosis approach for finding the faulty in-wheel motor/motor driver pair is developed. The proposed diagnosis approach does not need an accurate knowledge on tire-road friction coefficient (TRFC) and is robust to tire force modeling inaccuracies. Based on the in-wheel motor/motor driver fault diagnosis mechanism, a control-allocation based vehicle fault-tolerant control system is designed to accommodate the in-wheel motor/motor driver fault by automatically allocating the control effort among other healthy wheels. Simulations using a high-fidelity, CarSim®, full-vehicle model show the effectiveness of the proposed in-wheel motor/motor driver fault diagnosis and fault-tolerant control approaches.

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Fault Diagnosis and Fault-Tolerant Control Scheme for Quadcopter UAVs with a Total Loss of Actuator

Energies ◽

10.3390/en12061139 ◽

2019 ◽

Vol 12 (6) ◽

pp. 1139 ◽

Cited By ~ 7

Author(s):

Ngoc Nguyen ◽

Sung Hong

Keyword(s):

Fault Diagnosis ◽

Active Fault ◽

Control Method ◽

Fault Tolerant ◽

Sliding Mode ◽

Fault Tolerant Control ◽

Total Loss ◽

Actuator Faults ◽

Control Scheme ◽

Robust Adaptive

Fault-tolerant control has drawn attention in recent years owning to its reliability and safe flight during missions. In this article, an active fault-tolerant control method is proposed to control a quadcopter in the presence of actuator faults and disturbances. Firstly, the dynamics of the quadcopter are presented. Secondly, a robust adaptive sliding mode Thau observer is presented to estimate the time-varying magnitudes of actuator faults. Thirdly, a fault-tolerant control scheme based on sliding mode control and reconfiguration technique is designed to maintain the quadcopter at the desired position despite the presence of faults. Unlike previous studies, the proposed method aims to integrate the fault diagnosis and a fault-tolerant control scheme into a single unit with total loss of actuator. Simulation results illustrate the efficiency of the suggested algorithm.

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Fault diagnosis in a current sensor and its application to fault-tolerant control for an air supply subsystem of a 50 kW-Grade fuel cell engine

RSC Advances ◽

10.1039/c9ra09884d ◽

2020 ◽

Vol 10 (9) ◽

pp. 5163-5172

Author(s):

Rui Quan ◽

Fan Wu ◽

Chengji Wang ◽

Baohua Tan ◽

Yufang Chang

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Fault Diagnosis ◽

Control Method ◽

Fault Tolerant ◽

Fault Tolerant Control ◽

Current Sensor ◽

Air Supply ◽

The Difference ◽

A Current

A fault diagnosis and fault-tolerant control method based on artificial neural networks is proposed. Faults were detected immediately once the difference exceeded the set threshold, and the invalid signals were substituted with the predictive output value.

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Fault Diagnosis and Reconfigurable Control for Commercial Aircraft with Multiple Faults and Actuator Saturation

Aerospace ◽

10.3390/aerospace8040108 ◽

2021 ◽

Vol 8 (4) ◽

pp. 108

Author(s):

Yishi Liu ◽

Sheng Hong ◽

Enrico Zio ◽

Jianwei Liu

Keyword(s):

Fault Diagnosis ◽

Control Method ◽

Actuator Saturation ◽

Fault Tolerant ◽

External Disturbance ◽

Fault Tolerant Control ◽

Adaptive Method ◽

Reconfigurable Control ◽

Multiple Faults ◽

The Stability

Active fault-tolerant control systems perform fault diagnosis and reconfigurable control. There is a bidirectional uncertainty between them, and an integrated scheme is proposed here to account for that. The system considers both actuator and sensor faults, as well as the external disturbance. The diagnostic module is designed using an unknown input observer, and the controller is constructed on the basis of an adaptive method. The integrated strategy is presented, and the stability of the overall system is analyzed. Moreover, different kinds of anti-windup techniques are utilized to modify the original controllers, because of the different controller structures. A simulation of the integrated anti-windup fault-tolerant control method is demonstrated using a numerical model of Boeing 747. The results show that it can guarantee the stability of the post-fault aircraft and increase the control performance for the overall faulty system.

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