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Article type: Research Article
Authors: Rakesh, V.a; * | Balamurugan, R.b
Affiliations: [a] N.S.N College of Engineering and Technology, Karur, Tamilnadu, India | [b] K.S.Rangasamy College of Technology, Tiruchengode, Tamilnadu, India
Correspondence: [*] Corresponding author. V. Rakesh, N.S.N College of Engineering and Technology, Karur, Tamilnadu, India. E-mail: [email protected].
Abstract: Recently, Induction motor (IM) become the most prevalent machine type and finds an applications in many fields such as industries, electric cars etc., A typical IMD system includes IM, power controller, converter and measurement sensors. The effective performance of the IM indirectly depends upon the sensors connected with IMD. Recently, sensor fault diagnosis plays a vital role in IMD control. Thus, this work formulated a unique methodology using current vector determined from the stator currents of IM to identify sensor failures. ANN topology is incorporated to detect the Sensor failure. MATLAB software is utilized to verify the efficacy of the suggested topology. To demonstrate the practicality of this technology, experimental verification is carried out. The efficiency of the proposed approach for IM drives is demonstrated by both simulation and experimental findings. From the obtained results, it is proven that this technique detects the failure of the sensors within less time duration (about 0.25 ms). Hence, it can be effectively utilized in automobile industry.
Keywords: Induction motor, ANN, fault detection, current sensor, speed sensor, sensor failure
DOI: 10.3233/JIFS-221998
Journal: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 1, pp. 329-339, 2023
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