Fanfu Wu, Xiaoyi Lei, Yunting Liu
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{9844e868-1742-4a2d-8e85-54573ee456a4,
title={2026 Wu Memristor PWM Power Converters (1)},
author={Fanfu Wu and Xiaoyi Lei and Yunting Liu},
year={2026},
language={en}
}TY - JOUR TI - 2026 Wu Memristor PWM Power Converters (1) AU - Fanfu Wu AU - Xiaoyi Lei AU - Yunting Liu PY - 2026 LA - en ER -
Roger Roger
This document provides a concise technical guide for selecting an appropriate compressor for industrial and related applications. Its primary purpose
This paper addresses the challenge of assessing the feasibility of wind power plant projects at sites with insufficient or no local historic wind data
Important advances in electrochemical engineering technology over the last three decades have fostered the development of a lternative methods to alle