Sensor/Control Surface Fault Detection and Reconfiguration using Fuzzy Logic

2010 ◽  
Vol 60 (1) ◽  
pp. 76-86
Author(s):  
Shobha Savanur ◽  
Ambalal Patel
Keyword(s):  
Fuzzy Logic ◽  
Fault Detection ◽  
Control Surface ◽  
Sensor Control

An Approach to Knowledge Discovery for Fault Detection by Using Compensatory Fuzzy Logic

2019 ◽  
pp. 391-402
Author(s):  
Francisco G. Salas ◽  
Raymundo Juarez del Toro ◽  
Rafael Espin ◽  
Juan Manuel Jimenez
Keyword(s):  
Fuzzy Logic ◽  
Fault Detection ◽  
Knowledge Discovery

scholarly journals Execution of BLDC Motor using Fuzzy Logic Controller on Propulsion Application for Hybrid Vehicle System

2019 ◽  
Vol 8 (2S11) ◽  
pp. 3989-3993
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Control Method ◽  
Torque Ripple ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Rotor Speed ◽  
Brushless Dc Motors ◽  
Brushless Dc ◽  
Sensor Control

This research Paper proposes the Brushless DC motors control (BLDC) could accomplish higher execution looking into effectiveness in examination for old brushed DC motor controlling which is difficult to control because it requires a phase for switching circuit. This work proposes a fuzzy logic control for brushless DC motor for axis based on Hall Effect by applying sensor control system and also it produces brushless motor for rearranging the three phase conduction mode model. At long last this paper may be with create efficient control methodologies on enhance driving dynamics on the mechanical dynamic consider of propulsion method. The recommended control method stabilizes those controls services (speeds) done by controller of brushless DC motor drive (BLDC). On behalf of settling 2 wheels also physical favorable circumstances of BLDC motors are associated straight forwardly of the tires by improving the rotor speed. The parameters such as power factor, rotor speed, torque ripple, EMF is compensated & simulation results are tabulated.

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