| Issue |
E3S Web of Conf.
Volume 525, 2024
IV International Conference on Geotechnology, Mining and Rational Use of Natural Resources (GEOTECH-2024)
|
|
|---|---|---|
| Article Number | 03006 | |
| Number of page(s) | 8 | |
| Section | Energy Saving and Energy Efficiency of Mining Enterprises, Other Industries and Transport Infrastructure | |
| DOI | https://doi.org/10.1051/e3sconf/202452503006 | |
| Published online | 20 May 2024 | |
Increasing efficiency of induction motor by predictive control system
Navoi State University of Mining and Technologies, Navoi, Uzbekistan
* Corresponding author: olimovjasur2328@gmail.com
Standard squirrel-cage induction machine is widely used in industrial enterprises due to its advantages in terms of reliability, durability and economic efficiency. However, one of its disadvantages is that it suffers from a power dissipation factor due to its inability to balance active and reactive power consumption. Especially when the SCIM is running at no load condition or during the initial start-up, the power factor or useful operation and performance are drastically reduced. Therefore, improving the power factor of the induction machine is an actual topic for the following article, and has had some interesting solutions for several years. In this thesis, two different induction motor control algorithms (frequency converter and Predictive torque control) are included and a clear comparison between them is given. The main focus of this article is to design an induction motor control system using the two algorithms mentioned above, analyse the performance of different control methods, and experimentally verify these algorithms by comparing simulations and experimental results.
© The Authors, published by EDP Sciences, 2024
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