Motor controller simulation and embedded implementation for a blood pump
Arbelaez Morales, David Alonso (2014) Motor controller simulation and embedded implementation for a blood pump. Masters by Research thesis, Queensland University of Technology.
This study was a step forward in modeling, simulation and microcontroller implementation of a high performance control algorithm for the motor of a blood pump. The rotor angle is sensed using three Hall effect sensors and an algorithm is developed to obtain better angular resolution from the three signals for better discrete-time updates of the controller. The performance of the system was evaluated in terms of actual and reference speeds, stator currents and power consumption over a range of reference speeds up to 4000 revolutions per minute. The use of fewer low cost Hall effect sensors compared to expensive high resolution sensors could reduce the cost of blood pumps for total artificial hearts.
Impact and interest:
Citation counts are sourced monthly from and citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
|Item Type:||QUT Thesis (Masters by Research)|
|Supervisor:||Chandran, Vinod & Pearcy, Mark|
|Keywords:||Blood Pump, Permanent Magnet Synchronous Motor, Field Oriented Control , Low Resolution Hall Effect Sensors, Embedded Coder, Mechanical Assist Device, Rotor Position Improvement, TMS320F28335|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > Institutes > Institute of Health and Biomedical Innovation
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Institution:||Queensland University of Technology|
|Deposited On:||19 May 2014 04:38|
|Last Modified:||09 Sep 2015 06:13|
Repository Staff Only: item control page