PDF

Memristor-Based Pulse Width Modulation Circuit for Power Converters with Programmable Frequencies

Fanfu Wu, Xiaoyi Lei

2024enmemristorPWMenergy efficiencypower convertersprogrammable

Abstract

Language:

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.

Download

Cite This Work

@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  -

Similar Items

Retrofitting centralized air compressor stations with end-use-aware predictive set-pressure control using a physics-constrained pressure-drop model

Taito Watanabe, Yohei Kono

Compressed air systems usually run at a constant set pressure well above the end-use requirement; the excess margin is wasted energy. A lightweight hi

2026enPDF

Constraint-first energy-efficient indoor environmental control with multi-agent device coordination and knowledge-graph memory

Defan Feng, Hongbin Xie

Energy-efficient indoor control is often formulated as direct energy minimization, with comfort and indoor environmental quality (IEQ) represented by

2027enPDF

Bridging the grid-thermal-computational nexus via physics-informed hierarchical multi-agent reinforcement learning for data center co-optimization

Zekai Jin, Yue Zhou

Driven by the rapid growth of cloud computing and artificial intelligence, data centers (DCs) are becoming large, flexible loads that increasingly aff

2027enPDF

Metal Casting Processes

Unknown, Unknown

This chapter discusses metal casting processes, highlighting the diversity and common characteristics among them. The objective is to elucidate the fu

2023enPDF

Artificial intelligence-aided materials design: AI-algorithms and case studies on alloys and metallurgical processes

Rajesh Jha, Bimal Kumar Jha

This book describes the application of artificial intelligence (AI) and machine learning (ML) concepts to develop predictive models that can be used t

2022enPDF

Process Engineering and Plant Design

Siddhartha Mukherjee

This book provides a comprehensive overview of the critical aspects of industrial process engineering and plant design, addressing the complexities an

2022enPDF