Robust Adaptive Predictive Fault-Tolerant Control Linked with Fault Diagnosis System Applied On a Nonlinear Chemical Process

2006 ◽  
Author(s):  
D. Zumoffen ◽  
M. Basualdo ◽  
M. Jordan ◽  
A. Ceccatto
Keyword(s):  
Fault Diagnosis ◽  
Chemical Process ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Diagnosis System ◽  
Fault Diagnosis System ◽  
Robust Adaptive

scholarly journals Fault Diagnosis and Tolerant Control of Three-Level Neutral-Point Clamped Inverters in Motor Drives

Energies ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 6302
Author(s):  
Kuei-Hsiang Chao ◽  
Chen-Hou Ke
Keyword(s):  
Fault Diagnosis ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Assessment Method ◽  
Neutral Point ◽  
Fast Fourier Transformation ◽  
Diagnosis System ◽  
Power Transistors ◽  
Fault Diagnosis System ◽  
The Time Domain

This paper presents an extension theory-based assessment method to perform fault diagnosis for inverters in motor driving systems. First, a three-level neutral-point clamped (NPC) inverter is created using the PSIM software package to simulate faults for any power transistor in the NPC-type inverter. Fast Fourier transformation is used to transform the line current signals in the time domain into a spectrum in the frequency domain for analysis of the corresponding spectrum of features of the inverter for faults with different power transistors. Then, the relationships between fault types and specific spectra are established as characteristics for the extension assessment method, which is then used to create a smart fault diagnosis system for inverters. Fault-tolerant control (FTC) is used here when the rated output of a faulty inverter is decreased in order to maintain balanced output in three phases by changing the framework of the transistor connection. This is performed to reinforce the reliability of the inverter. Finally, by the simulation and experimental results, the feasibility of the proposed smart fault diagnosis system is confirmed. The proposed fault diagnosis method is advantageous due to its minimal use of data and lack of a learning process, which thereby reduces the fault diagnosis time and makes the method easily used in practice. The proposed fault-tolerant control strategy allows both online and smooth switching in the wiring structure of the inverter.

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

Energies ◽  
2019 ◽  
Vol 12 (6) ◽  
pp. 1139 ◽  
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.

Research on the Fault Diagnosis System for ICM

2013 ◽  
Vol 712-715 ◽  
pp. 2055-2058
Author(s):  
Zhong Nian Li ◽  
Lei Zhou
Keyword(s):  
Neural Network ◽  
Factor Analysis ◽  
Fault Diagnosis ◽  
Processing Speed ◽  
Fault Tolerant ◽  
Principal Factor ◽  
Diagnosis System ◽  
Principal Factor Analysis ◽  
Diagnosis Rate ◽  
Fault Diagnosis System

In the paper, researched a fault diagnosis system which is used in the ICM (Intelligent Coiling Machine)successfully, it is a kind of fault diagnosis system that uses compactwavelet neural network wavelet neural network as the intelligent core and has the PFA(Principal Factor Analysis) pretreatment function. Through innovative designing and carefully plotted monitoring ways and methods in the system, as a result the fault diagnosis rate of accuracy is high, fault-tolerant ability is strong, the processing speed is quick, and the system work safely and reliably.It has achieved the anticipated goal and the effect.

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