Low-Power Magnetic Displacement Sensor Based on RISC-V Embedded System.

Area of Science:

• Embedded Systems Engineering
• Sensor Technology
• Computer Architecture

Background:

• RISC-V architecture is gaining traction in embedded systems due to its low-power capabilities.
• Hall sensors offer cost-effective and compact solutions for displacement sensing.
• Integrating diverse hardware components with emerging architectures is crucial for technological advancement.

Purpose of the Study:

• To port Hall sensor functionality onto RISC-V architecture embedded devices.
• To validate the performance of Hall sensors within displacement sensing applications on RISC-V.
• To compare the performance of the ported system against established x86-based methods.

Main Methods:

• Porting Hall sensor drivers and libraries to the RISC-V platform.
• Developing displacement sensing algorithms optimized for embedded RISC-V systems.
• Conducting empirical tests to measure displacement accuracy and reliability.
• Comparing results with a Pulse-Width Modulation Magnetic Flux Measurement (PM-MFM) method on x86 architecture.

Main Results:

• Successful implementation and validation of Hall sensors on RISC-V embedded devices for displacement measurement.
• The RISC-V system demonstrated consistent and reliable performance.
• Outcomes were comparable to those achieved using x86 architecture systems with PM-MFM methods.

Conclusions:

• Hall sensors can be effectively ported to RISC-V embedded devices for displacement sensing.
• The RISC-V architecture provides a viable and performant platform for sensor integration.
• This integration offers a reliable and potentially more power-efficient alternative for industrial displacement sensing applications.