Exploring the potential of artificial intelligence based flywheels as energy-saving devices in industrial settings

Syed Munimus, Salam and Rashid, Muhammad Mahbubur and Ali, Mohammad Yeakub and Yvette, Susiapan (2024) Exploring the potential of artificial intelligence based flywheels as energy-saving devices in industrial settings. In: 5th International Conference on Sustainable Innovation in Engineering and Technology 2023, 16 August 2023, Kuala Lumpur, Malaysia.

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Abstract

A flywheel with a changeable moment of inertia is known as variable Inertia flywheel (VIF) can be proposed to overcome complexity on moment of inertia that causes difficulty during rotating machine start-up. While there is an extensive amount of literature on VIF control strategies, very little addresses practical considerations. Depending on the parameters of the application system, a VIF system may be designed and built using a relatively simple control approach. To determine how a semi-active VIF control system and the input parameters of a rotating electrical machine relate to one another in minimizing energy losses, this study collects data from a VIF linked motor system. The last step in developing an intelligent semi active control for the rotating machine linked with VIF is to utilize a machine learning method to predict the parameters of the control application system.

Item Type:	Proceeding Paper (Slide Presentation)
Subjects:	T Technology > TN Mining engineering. Metallurgy > TN331 Mine transportation, haulage and hoisting. Mining machinery
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User:	Dr Muhammad Rashid
Date Deposited:	29 Oct 2024 12:25
Last Modified:	29 Oct 2024 12:25
URI:	http://irep.iium.edu.my/id/eprint/115368

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