Fanfu Wu, Xiaoyi Lei
Memristors can achieve up to a 1000× reduction in energy consumption in neuromorphic and in-memory computing, but their integration into power converter control remains incomplete. Existing implementations either convert memristor outputs into digital signals for DSP-based pulse-width modulation (PWM), reintroducing computational overhead, or use analog PWM circuits with limited programmability. Since PWM generation is the final essential stage of power converter control, a programmable memristor-based PWM circuit is needed to fully realize the energy-efficiency benefits of memristive computing. This paper presents a programmable memristor-based PWM circuit operating at approximately two-hundred kilohertz for switching power converters. The design combines digital-controller programmability with the low power consumption of analog PWM generators. Experimental validation using commercially available memristors achieves a programmable switching frequency from 144.7 kHz to 204.2 kHz. Compared with a commonly used DSP implementation in the power converter control, the proposed design achieves a 92% reduction in power consumption.
@article{2753b357-5d9e-454a-9e9b-5d7d7b3732b3,
title={Memristor-Based Pulse Width Modulation Circuit for Power Converters with Programmable Frequencies},
author={Fanfu Wu and Xiaoyi Lei},
year={2024},
language={en}
}TY - JOUR TI - Memristor-Based Pulse Width Modulation Circuit for Power Converters with Programmable Frequencies AU - Fanfu Wu AU - Xiaoyi Lei PY - 2024 LA - en ER -
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