Current Sensor Active Fault Tolerance Control Based on Feedback Gain Reconfiguration

2014 ◽  
Vol 511-512 ◽  
pp. 1012-1016 ◽  
Author(s):  
Zhi Qiang Wang ◽  
Xiao Long Li ◽  
Qing Zhen Wang
Keyword(s):  
Fault Tolerance ◽  
Fault Diagnosis ◽  
Control Strategy ◽  
Active Fault ◽  
State Observer ◽  
Current Sensor ◽  
Feedback Gain ◽  
Maglev Train ◽  
Tolerance Strategy ◽  
Tolerance Control

For the failure of current sensor on maglev train, an active fault tolerance control strategy based on feedback gain reconfiguration is proposed. Fault diagnosis unit based on state observer is designed to detect the output of current sensor, the diagnosis result is used to switch the control strategy. Simulation result indicates that the fault tolerance strategy meets the demands of the system.

Flocking with Fault Tolerant Control and Obstacles Avoidance for Mobile Robots Based on Grid Maps

2014 ◽  
Vol 631-632 ◽  
pp. 669-675
Author(s):  
Yong Xiong ◽  
Ji Liang Lin
Keyword(s):  
Fault Tolerance ◽  
Fault Diagnosis ◽  
Mobile Robots ◽  
Control Strategy ◽  
Control Algorithm ◽  
Fault Tolerant ◽  
Actuator Failure ◽  
Diagnosis Method ◽  
Tolerance Control ◽  
The Impact

Taking α-lattice flocking as research object, the influence when faults occur in flock and its fault tolerance control algorithm is studied. The impact on flocking performance is analyzed by means of flocking property indexes when communication error, actuator failure or sensor malfunction occur. A flocking fault diagnosis method and fault tolerance control strategy based on communication and data association are introduced. Considering failure mobile robots as obstacles, a complex shaped obstacles avoidance algorithm is proposed. Simulation shows the effectiveness of the method.

Active fault tolerance control system of fuel cell hybrid city bus

2010 ◽  
Vol 35 (22) ◽  
pp. 12510-12520 ◽  
Author(s):  
Liangfei Xu ◽  
Jianqiu Li ◽  
Minggao Ouyang ◽  
Jianfeng Hua ◽  
Xiangjun Li
Keyword(s):  
Control System ◽  
Fuel Cell ◽  
Fault Tolerance ◽  
Cell Hybrid ◽  
Active Fault ◽  
City Bus ◽  
Tolerance Control ◽  
Fuel Cell Hybrid

scholarly journals Proportional-Type Sensor Fault Diagnosis Algorithm for DC/DC Boost Converters Based on Disturbance Observer

Energies ◽  
2019 ◽  
Vol 12 (8) ◽  
pp. 1412
Author(s):  
Kyunghwan Choi ◽  
Kyung-Soo Kim ◽  
Seok-Kyoon Kim
Keyword(s):  
Fault Diagnosis ◽  
Disturbance Observer ◽  
Estimation Error ◽  
State Observer ◽  
Operating Conditions ◽  
Feedback Gain ◽  
Sensor Faults ◽  
Sensor Fault ◽  
Boost Converters ◽  
Diagnosis Algorithm

This study seeks an advanced sensor fault diagnosis algorithm for DC/DC boost converters governed by nonlinear dynamics with parameter and load uncertainties. The proposed algorithm is designed with a combination of proportional-type state observer and disturbance observer (DOB) without integral actions. The convergence, performance recovery and offset-free properties of the proposed algorithm are derived by analyzing the estimation error dynamics. An optimization process to assign the optimal feedback gain for the state observer is also provided. Finally, a fault diagnosis criteria is introduced to identify the location and type of sensor faults online using normalized residuals. The experimental results verify the effectiveness of the suggested technique under variable operating conditions and three types of sensor faults using a prototype 3 kW DC/DC boost converter.

Intelligent work-situation fault diagnosis and fault-tolerant system for the shaft-furnace roasting process

2007 ◽  
Vol 221 (6) ◽  
pp. 843-855 ◽  
Author(s):  
Tianyou Chai ◽  
Fenghua Wu ◽  
Jinliang Ding ◽  
Chun-Yi Su
Keyword(s):  
Control System ◽  
Fault Tolerance ◽  
Fault Diagnosis ◽  
Shaft Furnace ◽  
Process Conditions ◽  
Case Based Reasoning ◽  
Level Control ◽  
Work Situation ◽  
Roasting Process ◽  
Tolerance Control

During roasting in a shaft furnace (used for the deoxidizing roasting of ore), work-situation faults (WSFs) arise as a result of variations in process conditions and off-spec operation. These work-situation faults can be potentially disastrous and can lead to a total collapse of the control system if they are not detected and diagnosed in time. Furthermore, by their very nature they have to be distinguished from the results addressed by existing methods of diagnosis and tolerance control. This paper presents an innovative work-situation fault diagnosis (WSFD) and fault-tolerance control (FTC) strategy for a control system where a combination of neural networks, expert system, and case-based reasoning is used. As such, a system is established that consists of a magnetic tube recovery rate (MTRR) prediction model, a work-situation fault diagnosis unit, and a fault-tolerance controller. The proposed system diagnoses imminent work-situation faults, and then the fault-tolerance controller adjusts the set-points of the control loops. The outputs of the lower-level control system track the modified set-points, which makes the process deviate gradually from work-situation faults with an acceptable product quality. The proposed system has been applied to the shaft-furnace roasting process in the largest minerals processing factory in China and has reduced the frequency of all work-situation faults by more than 50 per cent, with the ratio of furnace operation increased by 2.98 per cent. It has been proven to provide many benefits to the factory.

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