Title
Embedded software design for a microcontroller-based data logger for stepper motor fault diagnosis
Advisor(s)
Ali Abur
Contributor(s)
Gunar Schirner, Dionisio Bernal
Date of Award
2012
Date Accepted
4-2012
Degree Grantor
Northeastern University
Degree Level
M.S.
Degree Name
Master of Science
Department or Academic Unit
College of Engineering, Department of Electrical and Computer Engineering
Keywords
electrical engineering, engineering, computer engineering, software, microcontroller, stepper motor fault diagnosis
Disciplines
Electrical and Computer Engineering | Engineering
Abstract
Two independent pieces of embedded software have been developed to operate a data logging system based on a PIC18F8722 microcontroller for a stepper motor diagnosis application. The first piece of embedded software is implemented with several state machines in a foreground/background (superloop) structure, while the second is implemented as an RTOS-enabled software based on the Salvo Lite cooperative real time operating system. The superloop implementation results in data for up to 8 stepper motor channels being logged to an SD card and RS-232 link at a rate of 10 Hz, with approximately 50% processor overhead time reserved for RS-232 communications. The RTOS-enabled implementation results in an improved high priority interrupt service routine execution time, but is overall slower to respond to interrupts compared to the superloop implementation due to the cooperative nature of the chosen operating system. A custom binary-to-ASCII conversion software is also developed for converting the resulting data log file produced by both software implementations to human readable text, as the result of both implementations is a binary data log file containing data of interest for up to 8 stepper motors.
Document Type
Master's Thesis
Rights Information
copyright 2012
Rights Holder
Michael Thomas Daniel
Permanent URL
Recommended Citation
Daniel, Michael Thomas, "Embedded software design for a microcontroller-based data logger for stepper motor fault diagnosis" (2012). Electrical and Computer Engineering Master's Theses. Paper 81. http://hdl.handle.net/2047/d20002560
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