Intelligent Control and Multi-Level Inverter Design for Power Management using Deep Learning

Singh, Alka; Kaswan, Kuldeep Singh

doi:10.1109/inocon57975.2023.10101005

Cited by 2 publications

References 26 publications

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Intelligent Control of SMART Materials for Energy Harvesting and Storage Devices

Kumar,

Govada,

Meheta

et al. 2023

E3S Web Conf.

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The investigation of innovative materials and intelligent control systems has been motivated by the desire to provide sustainable energy solutions, with the aim of improving the efficiency and adaptability of energy harvesting and storage devices. This study introduces an innovative methodology to tackle this issue by combining SMART (Self-Monitoring, Analysing, and Reporting Technology) materials with sophisticated intelligent control approaches. The system under consideration utilises the intrinsic material characteristics of SMART materials, including piezoelectric, thermoelectric, and shape memory alloys, with the objective of capturing and transforming ambient energy into electrical power that can be effectively utilised. In order to fully harness the capabilities of SMART materials, a novel control framework is proposed that integrates machine learning algorithms, real-time sensor data, and adaptive control procedures. The intelligent control system enhances the effectiveness and durability of energy harvesting and storage devices by effectively adjusting to different operational situations and optimising energy conversion and storage processes. The findings demonstrate significant enhancements in energy conversion efficiency as well as notable advancements in the longevity and dependability of energy systems utilising SMART materials. Furthermore, the capacity of the control system to adjust to various environmental circumstances and energy sources situates this research at the forefront of cutting-edge energy technology.

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