HD Subtitles in SRT - How AI builds power factor correction into a squirrel cage induction motor (VIDEO)
Caption
Business and industry love squirrel cage induction motors for high speed applications. Power grid Managers detest them, because their power factors under low loads can make a grid unstable. But it is possible to design a squirrel cage motor to play nice on a power grid - and still be efficient, powerful and reliable. An electrical engineering researcher at the University of Johannesburg (UJ) optimizes a rotor and auxiliary capacitive coil design with Artificial Intelligence(AI). In the lab tests, he finds that the AI-optimized 5.5kW motor performs efficiently with excellent power factor at very low loads. The power factor is so good, no external power factor correction is required for these motors, which can result in substantial cost-savings in power bills. Dr Mbika Muteba’s study appears in the journal Energies, titled ‘Optimization of Air Gap Length and Capacitive Auxiliary Winding in Three-Phase Induction Motors Based on a Genetic Algorithm’, https://doi.org/10.3390/en14154407.
Credit
Video by Therese van Wyk, University of Johannesburg. Flow charts by Dr Mbika Muteba, as part of ‘Optimization of Air Gap Length and Capacitive Auxiliary Winding in Three-Phase Induction Motors Based on a Genetic Algorithm’, published in Energies, https://doi.org/10.3390/en14154407. Graphs created with Datawrapper, based on Table 9 in research study. Rotor design created with ANSYS Motor CAD by Dr Mbika Muteba Music by ltamara2 and Officina27 at Pixabay Music. https://pixabay.com/music/beats-chillout-122-5424/ https://pixabay.com/music/pulses-pulsar-officina-zanchi-4703/
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