Multi-domain system models integration for faults detection in induction motor drives

Abstract

The power electronic converters, electric machines, and mechanical loads are key parts of the electric drives systems, and these components are usually modeled and analyzed using specific simulation tools. The overall performances of the electric drives are influenced by system's interconnected components. One solution, to investigate the interaction between different parts of these multi-domain systems, is to integrate them into only one simulation environment. This paper presents the development of two integrated models of a three-phase induction motor (IM) drive: one, based on d-q machine model using MATLAB/SimulinkSimscape, the second being based on finite element analysis (FEA) motor model using ANSYS Simplorer/Maxwell software. The goal is to analyze the system models capabilities to simulate the faults detection caused by failures of different drive's components. The motor current signature analysis is used, in this paper, for monitoring the operation of the IM fed through a pulse-width-modulated (PWM) power inverter. Finally, two case studies are presented, one illustrating the effects of a faulty device of the PWM inverter, and the second case demonstrating the influence of the IM's stator fault. Another objective of this study is to provide users a convenient way of instruction in the area of faults detection and power quality of alternating current (ac) machines and drives.

Modelling and co-simulation of a permanent magnet synchronous generator

“…Small number of publications focused on the connection models from FEA with power electronics elements and mechanical connections. This methodology, first named co-simulation in Zhou et al (2006), has been used for fault detection in complex machines or protypes such as the doubly salient permanent-magnet (DSPM) motor in (Zhao et al, 2008), also for a five-phase dual-rotor permanent magnet in (Zhao et al, 2015), in the fault detection of induction motors (IM) in (Apostoaia, 2014), in the design of a standalone 4 kW hydro generator (Cetinceviz, 2015) and for a 1 kW direct drive wind turbine in (Ocak et al, 2018). A similar co-simulation was done with Simulink connected to an analogous finite element software, Flux2D, in Gonzalez et al (2016) and with Mentor Magnet in Irfan et al (2018).…”

Analysis and co-simulation of permanent magnet sychronous motor with short-circuit fault by finite element method

“…The PMSM is a rotating electric machine where stator is a classic three-phase Induction Motor and rotor has permanent magnets [8]. The features of PMSM motor are [7]:…”

An Approach for Identifying the Temperature of Inductance Motors by Estimating the Rotor Slot Harmonic Based on Model Predictive Control

“…Research shows that it is of great significance to set a temperature protection limit and to increase the response speed of overheating failure protection for an induction motor [5], [6]. As a matter of fact, there are many factors that affect the accuracy and efficiency of the identification of temperature, such as the uncertainty of the harmonic order, the complexity of the motor parameters, and most of all, the stator voltage transient shock [7]- [11]. These reasons serve as a motivation to find an effective way of modelling a motor and forecasting its parameters in order to determine upper temperature protection limit online by obtaining the motor temperature rapidly and accurately.…”