Recent Soft Computing Strategies for Induction Motor Analysis and Control: A Survey

This paper presents the practical results of the design analysis, commissioning, identification, sensor calibration, and tuning of an active magnetic bearing (AMB) control system for a laboratory gas blower. The presented step-by-step procedures, including modeling and disturbance analysis for different design choices, are necessary to reach the full potential of the prototype in research and industrial applications. The key results include estimation of radial and axial disturbance forces caused by the permanent magnet (PM) rotor and a discussion on differences between the unbalance forces resulting from the PM motor and the induction motor in the AMB rotor system.

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Integrative simulation and analysis of induction motor and control system

Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology ◽

10.1109/emeit.2011.6023528 ◽

2011 ◽

Cited By ~ 2

Author(s):

Meiyang Zuo ◽

Hui Guo

Keyword(s):

Control System ◽

Induction Motor ◽

And Control

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Soft computing based signal processing approaches for supporting modeling and control of engineering systems - a case study

2010 IEEE 14th International Conference on Intelligent Engineering Systems ◽

10.1109/ines.2010.5483864 ◽

2010 ◽

Cited By ~ 1

Author(s):

Terez A. Varkonyi

Keyword(s):

Signal Processing ◽

Soft Computing ◽

Engineering Systems ◽

Modeling And Control ◽

And Control

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Design and construction of a prototype for the analysis of vibrations in an induction motor for the detection of faults

Revista del Desarrollo Tecnologico ◽

10.35429/jtd.2020.13.4.27.33 ◽

2020 ◽

pp. 27-33

Author(s):

Javier Garrido ◽

Beatris Escobedo-Trujillo ◽

Guillermo Miguel Martínez-Rodríguez ◽

Oscar Fernando Silva-Aguilar

Keyword(s):

Fourier Transform ◽

Induction Motor ◽

Wavelet Transforms ◽

Data Acquisition System ◽

Time Frequency ◽

Different Types ◽

Control Devices ◽

The Fourier Transform ◽

And Control ◽

Types Of Faults

The contribution of this work is to present the design of a prototype integrated by an induction motor, a data acquisition system, accelerometers and control devices for stop and start, to generate and identify different types of faults by means of vibration analysis. in the domain: time, frequency or frequency-time, through the use of the Fourier Transform, Fast Fourier Transform or Wavelet Transforms (wavelet transform). In this prototype, failures can be generated in the induction motor such as: unbalance, different types of misalignment, mechanical looseness, and electrical failures such as broken bars or short-circuited rings, an example of a misalignment failure is presented to show the process of analysis and detection.

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