학술논문

Parallel Design of CMF Signal Processing
Document Type
Conference
Source
2018 IEEE 4th Information Technology and Mechatronics Engineering Conference (ITOEC) Information Technology and Mechatronics Engineering Conference (ITOEC), 2018 IEEE 4th. :279-283 Dec, 2018
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Engineering Profession
Robotics and Control Systems
Signal Processing and Analysis
Task analysis
Digital signal processing
Signal processing algorithms
Real-time systems
Data acquisition
Filtering
Coriolis mass flowmeter
phase difference detection
parallel computation
task synchronization
Language
Abstract
Sequential signal processing based on single digital signal processor (DSP) for Coriolis Mass Flowmeter (CMF) can hardly achieve critical real-time performance. A multi-task parallel signal processing scheme based on dual-core DSP for CMF is proposed in this paper. While the sample-based task implements data acquisition and digital filtering, the frame-based task conducts frequency detection and phase difference detection tasks and etc. The two tasks are synchronized via event-based inter-processor communication. Since no real time operating system (RTOS) is needed for task scheduling, the software is of low complexity. Experimental study verifies the higher real-time performance of the proposed scheme over sequential signal processing.