Electric motor drives: Modeling, analysis and control, R. Krishan, Prentice‐Hall, Upper Saddle River, NJ, 2001, xxviii + 626 pp. ISBN 0‐13‐0910147

Kaźmierkowski, Marian P.

doi:10.1002/rnc.811

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…The goal of this section is to find a 3-phase induction motor (3PIM) state spaces model that can be used to diagnose faults using the parity equations approach described in the previous section, the starting point to carry out is to consider the synchronous reference frame theory and the steady-state behavior [37,38] to identify the 3PIM subsystems related to the mechanical, electrical, and magnetic parts. The main idea is to analytically match the 3PIM model with the DC motor model and find the definition of its parameters to define the state space equation for fault diagnosis.…”

Section: Linearized 3-phase Induction Motor Modelmentioning

confidence: 99%

“…Regarding the coupling of the mechanical, electrical, and magnetic parts of the 3PIM, the transfer function considers a link that relates the current that produces the torque and the induced magnetic force, this link is a 3PMI total current loop and is independent of the mechanical system [38]. This model is like the DC motor model obtained in [39].…”

Section: Fault Detection For 3-phase Induction Motor Using Parity Equ...mentioning

confidence: 99%

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Fault Diagnosis of Induction Motor Using D-Q Simplified Model and Parity Equations

et al. 2022

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Induction motors are the horsepower in the industrial environment, and among them, 3-phase induction motors (3PIMs) stand out for their robustness and standard 3-phase power supply. In the literature, there are many approaches to diagnose faults for the nonlinear 3PIM model, and the vast majority focus on a single motor fault, although others address more faults but at the cost of greater computational complexity. In this sense, one of the methods with less computational load and early detection is the parity equation approach, which is based on analyzing the discrepancy between the input and output signals of a real process and a linear mathematical model to generate a residual signal, which contains important information about the fault and is obtained through a suitable selection of a weighting matrix W to isolate the faults as much as possible. The problem in this case study is that the 3PIM model is a nonlinear system. In this work, the fault detection method based on the parity equations approach applied in the 3PIM is explored using a simplified and proposed model of the 3PIM working in the D-Q synchronous reference frame, which is matched with the direct current motor model to guarantee both the existence of the parity space and to ensure a large set of detectable faults in the 3PIM parameters. Simulation and experimental results validate the proposed scheme and confirm a very simple set of residual equations to guarantee both early detection and a large set of detectable faults in: Stator and rotor resistances, stator and rotor inductances, as well as current, voltage, and speed sensors. Additionally, development of human machine interface (HMI) is implemented to validate the proposed scheme.

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Section: Linearized 3-phase Induction Motor Modelmentioning

confidence: 99%

Section: Fault Detection For 3-phase Induction Motor Using Parity Equ...mentioning

confidence: 99%

Fault Diagnosis of Induction Motor Using D-Q Simplified Model and Parity Equations

et al. 2022

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Competition of Motor Controllers Using a Simplified Robot Leg: PID vs Fuzzy Logic

Kecskés

Burkus

Király

et al. 2017

2017 Fourth International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)

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Comprehensive and Simplified Fault Diagnosis for Three-Phase Induction Motor Using Parity Equation Approach in Stator Current Reference Frame

et al. 2022

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In this paper, a complementary and simplified scheme to diagnose electrical faults in a three-phase induction motor using the parity equations approach during steady state operation bases on the stator current reference frame is presented. The proposed scheme allows us to identify the motor phase affected due to faults related to the stator side, such as current sensors, voltage sensors, and resistance. The results obtained in this work complement a detection system that uses the DQ model of the three-phase induction motor and parity equations focused on the synchronous reference frame, which can detect stator-side faults but cannot locate the affected phase. In addition, considering practical and operational aspects, the residual detection set obtained is simplified to three simple algebraic equations that are easy to implement. The simulation results using the PSIM simulation software and the experimental test allow us to validate the proposed scheme.

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Electric motor drives: Modeling, analysis and control, R. Krishan, Prentice‐Hall, Upper Saddle River, NJ, 2001, xxviii + 626 pp. ISBN 0‐13‐0910147

Cited by 3 publications

References 11 publications

Fault Diagnosis of Induction Motor Using D-Q Simplified Model and Parity Equations

Fault Diagnosis of Induction Motor Using D-Q Simplified Model and Parity Equations

Competition of Motor Controllers Using a Simplified Robot Leg: PID vs Fuzzy Logic

Comprehensive and Simplified Fault Diagnosis for Three-Phase Induction Motor Using Parity Equation Approach in Stator Current Reference Frame

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