Authors:
Mohammed Obaid Mustafa
1
;
George Nikolakopoulos
1
;
Thomas Gustafsson
1
and
Basil M. Saied
2
Affiliations:
1
Luleå University of Technology, Sweden
;
2
University of Mosul, Iraq
Keyword(s):
Three Phase Induction Motor, Fault Detection, Set Membership Identification.
Related
Ontology
Subjects/Areas/Topics:
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Intelligent Fault Detection and Identification
Abstract:
This article presents a fault detection scheme for the case of a broken bar occurrence in a three phase induction
motor. The proposed scheme relies on Set Membership Identification (SMI) and novel proposed boundary
violation rules for the identified motor’s parameters. The model of the three phase induction motor is being
transformed into an equivalent two phase model, described in the q−d space, for both the normal and the
faulty case. By the utilization of the SMI technique, the simplified equivalent model of the induction motor is
being identified during the steady state operation (non–fault case), while at the same time safety bounds for the
identified variables are being provided, based on an a priori defined corrupting additive noise. On the event of
a fault, specific fault detection conditions are being proposed that can capture the specific type of a broken bar
fault. The proposed conditions depend on: a) abnormal parameter jumps, and b) rapid changes in the volume
of the bou
nding uncertainty, which is being formulated either by ellipsoids or orthotopes. Detailed analysis of
the proposed approach as also extended simulation results are being presented that prove the efficiency of the
proposed scheme.
(More)