scholarly journals Facilitating Autonomous Systems with AI-Based Fault Tolerance and Computational Resource Economy

Electronics ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 788 ◽  
Author(s):  
Kyriakos Deliparaschos ◽  
Konstantinos Michail ◽  
Argyrios Zolotas
Keyword(s):  
Fault Tolerance ◽  
Fault Tolerant ◽  
Autonomous Systems ◽  
Magnetic Suspension ◽  
Sensor Fault ◽  
Control Framework ◽  
Sensor Fault Detection ◽  
Multiple Sensor ◽  
Electro Magnetic ◽  
Interface Devices

Proposed is the facilitation of fault-tolerant capability in autonomous systems with particular consideration of low computational complexity and system interface devices (sensor/actuator) performance. Traditionally model-based fault-tolerant/detection units for multiple sensor faults in automation require a bank of estimators, normally Kalman-based ones. An AI-based control framework enabling low computational power fault tolerance is presented. Contrary to the bank-of-estimators approach, the proposed framework exhibits a single unit for multiple actuator/sensor fault detection. The efficacy of the proposed scheme is shown via rigorous analysis for several sensor fault scenarios for an electro-magnetic suspension testbed.

Distributed fault-tolerant detection via sensor fault detection in sensor networks

2007 ◽  
Author(s):  
Tsang Yi Wang ◽  
Li Yuan Chang ◽  
Dyi Rong Duh ◽  
Jeng Yang Wu
Keyword(s):  
Sensor Networks ◽  
Fault Detection ◽  
Fault Tolerant ◽  
Sensor Fault ◽  
Sensor Fault Detection

scholarly journals Multiple Sensor Fault Detection Algorithm for Fault Tolerant Control of BLDC Motor

Electronics ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 1038
Author(s):  
Muhammad Aqil ◽  
Jin Hur
Keyword(s):  
Hall Effect ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Detection Algorithm ◽  
Bldc Motor ◽  
Brushless Dc ◽  
Experimental Scheme ◽  
Hall Effect Sensor ◽  
Sensor Fault Detection ◽  
Multiple Sensor

A direct redundancy-based fault tolerant control system (FTCS) is proposed for the operation of a brushless DC (BLDC) motor in the case of multiple sensor failures. The presented method expands on the previously published work that dealt with the failure of a single Hall-effect sensor. In this paper, a novel algorithm is developed along with the new experimental scheme and the FTCS can deal with the failure of up to two Hall-effect sensors. The fault tolerant control (FTC) algorithm is based on three conditions and is designed to deal with any scenario of the sensor faults. Simulation was performed and presented experimental results show effectiveness and validation of the method. The method can be implemented with ease, is fast and does not require high end processors.

scholarly journals System Control In Fault And Normal Conditions Case Study - Quanser SRV-02

2015 ◽  
Vol 67 (1) ◽  
pp. 133-138
Author(s):  
Ionut Cristian Resceanu ◽  
Cristina Floriana Resceanu
Keyword(s):  
Fault Tolerance ◽  
Theoretical Analysis ◽  
Control Method ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Control Law ◽  
System Control ◽  
Sensor Fault ◽  
Simulation Results

Abstract A fault tolerant control method is proposed for Quanser SRV-02 System in order to maintain the required performance in the presence of sensor failures. The proposed approach integrates control law and a sensor fault tolerance schema. Theoretical analysis and simulation results have confirmed the effectiveness of the proposed method.

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