Researcher

Dr Matthew Ryan Priestley

Fields of Research (FoR)

Electrical engineering, Electrical machines and drives, Motor control, Hybrid and electric vehicles and powertrains, Electrical energy transmission, networks and systems

SEO tags

Biography

Dr Matthew Priestley is the Lead Technology Translator in the Energy Systems Research Group within the School of Electrical Engineering and Telecommunications. He is passionate about motor drives and power systems research. Matthew is particularly interested in drone motor drive research and has secured roughly $40k from the Digital Grid Infrastructure and Research Infrastructure Scheme to build a drone motor drive lab at UNSW. He is also...view more

Dr Matthew Priestley is the Lead Technology Translator in the Energy Systems Research Group within the School of Electrical Engineering and Telecommunications. He is passionate about motor drives and power systems research. Matthew is particularly interested in drone motor drive research and has secured roughly $40k from the Digital Grid Infrastructure and Research Infrastructure Scheme to build a drone motor drive lab at UNSW. He is also interested in grid synchronization algorithms for power inverters in renewable energy systems.

Matthew has a passion for investigating innovative teaching methods to better deliver engineering content to students and is an Associate Fellow of the Higher Education Academy. He has pioneered new methods for using short courses to implement a capstone experience using a $40k Education Investment Fund (EIF) grant in this area.

Matthew has also founded a technology start-up company called Motorica which patented specialized motor designs and a novel post-failure motor control technology. This company won acceptance into the UNSW Founders 10x Accelerator, (July to Sept. 2018) which is UNSW’s flagship accelerator. Matthew has also worked for a mining consultancy company during Feb. 2014 to Jan. 2015, where he performed electrical power system design, Programmable Logic Controller (PLC) design, equipment commissioning and Variable Speed Drive (VSD) protection duties.


My Grants

  • Secured $20k funding from the Digital Grid Future Institute (DGFI) scheme as a primary investigator to investigate the legal requirements for detecting bearing faults in drone motors.
  • Secured $18k funding from the Research Infrastructure Scheme (RIS) to construct a drone motor drive lab.
  • Secured $40k from the Education Investment Fund (EIF) scheme as a primary investigator to investigate how online short courses can be used to facilitate an authentic capstone experience.

My Qualifications

  • Doctor of Philosophy (Ph.D.) in Electrical Engineering at University of New South Wales (UNSW) in August 2019.
  • Bachelor of Engineering with Class I Honours (B.Eng.) in Electrical Engineering at James Cook University (JCU) in 2013, where he received the University Medal.

My Awards

  • Dean’s Award for Outstanding PhD Theses, UNSW, 2019 (for PhD graduates who have submitted a thesis that is in the top 10% of PhD theses examined).
  • Industrial Electronics Society (IES) Electrical Machines Technical Committee (EMTC) paper award, 44th Annual Conference IEEE IES (IECON), 2018.
  • Outstanding paper award for conference paper titled "Implementation of Microgrid Virtual Laboratory in a Design Course in Electrical Engineering" presented in TALE 2020.
  • Pitched and won entry to the Innovyz commercialization incubator program with the UNSW motor drive team. (Included six-month business development course).
  • Pitched and won acceptance into the UNSOMNIA 2021 media program.

My Research Activities

Matthew’s primary research activities include:

  • Drone propulsion motor drive systems
  • Microgrid and grid-interfacing inverters
  • Grid synchronization algorithms for power inverter systems
  • Motor control
  • Multi-phase (five-phase and higher phase number) motor drive systems
  • Fault-tolerant electric machine drive systems
  • Health monitoring of electric machine drive systems
  • Electric vehicle traction drive systems
  • Electrical engineering teaching methods

 

Patents

  • M. Farshadnia, M. Priestley, J. E. Fletcher, “A machine, stator and method for design and optimization”, PCT Application, Application No. PCT/AU2018/050933, File Date: May 2018.
  • M. Priestley, M. Farshadnia, J. E. Fletcher, A method of facilitating control of electric motors”, PCT Application, Application No. PCT/AU2019/050569, File Date: May 2018.
View less

Location

School of Electrical Engineering and Telecommunications (Building G17)
Level 3, Room EE314