Abstract
ABSTRACTThe purpose of this paper is to provide a robust solution for fault detection in the induction motor. The structure of nonlinear unknown input observer is investigated for observer design in this paper. Recently, rotor defect is considered as the most important non-electric fault in induction motors. One of the challenges in rotor fault detection is the uncertainty in the mechanical load of the motor and the harmonics in the electric power. Accordingly, these cases are considered as disturbances for unknown input observer and their effects on the residual signal are eliminated. The results of the simulation show the performance of the observer to diagnose the induction motor rotor fault in different scenarios.
Highlights
Induction motors are used as the most common variable speed drives in small and large-scale industries
The most important benefit of fault diagnosis is that it can almost predict the damaging time of the motor by the analysis of the parameters variations; Fault diagnosis in electrical machines can be used to detect incipient faults, and this leads to fast unscheduled corrective maintenance, short downtimes and elimination of harmful side-effects (Henao et al, 2014)
The results show that the proposed observers are capable to detect the induction motor fault
Summary
Induction motors are used as the most common variable speed drives in small and large-scale industries. The interested reader is referred to (Isermann, 2011; Khan & Ding, 2011) In such cases, many types of faults should be taken into account (e.g. broken rotor bars or interterm faults, to name a few) and relatively long detection times can be permitted. The most important innovation of the paper is the design of an unknown input observer using the LMI concept to overcome the uncertainty and disturbances effects in a particular class of nonlinear systems that the faulty induction motor is in this class. A robust unknown input observer is derived for nonlinear systems having both disturbances and uncertainties. The results show that the proposed observers are capable to detect the induction motor fault.
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