Title :
Expiremental validation of a fault tolerant control of induction motor using a voting algorithm
Author :
Gouichiche, Abdelmadjid ; Zabar, Mohamed ; Chedjara, Zakaria ; Safa, Ahmed ; Tadjine, Mohamed
Author_Institution :
Lab. de Genie Electr. et de Plasmas, Univ. Ibn Khaldoun, Tiaret, Algeria
Abstract :
In this paper, we describe a method for designing an active fault tolerant control system for speed sensor fault of an induction motor. The aim of this work is to develop an algorithm receiving multiple outputs from different version (sensor or observers) to choose between the most probably adequate for such situation (nominal or faulty). This algorithm is called maximum-likelihood voting (MLV) algorithm. Two adaptive observers are used (Luenberger and sliding mode observers). The proposed approach is verified by experiment results.
Keywords :
fault tolerant control; induction motors; machine control; maximum likelihood estimation; observers; variable structure systems; Luenberger; MLV algorithm; active fault tolerant control system; adaptive observer; induction motor; maximum-likelihood voting algorithm; sliding mode observer; speed sensor fault; Algorithm design and analysis; Circuit faults; Induction motors; Observers; Reliability; Rotors; Stators; fault tolerant control (FTC); induction motor; observers; speed sensor failure; voting algorithm;
Conference_Titel :
Control, Engineering & Information Technology (CEIT), 2015 3rd International Conference on
Conference_Location :
Tlemcen
DOI :
10.1109/CEIT.2015.7233081
