Journal
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
Volume 67, Issue 11, Pages 9093-9100Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIE.2019.2956407
Keywords
Synchronous motors; Permanent magnet motors; Mathematical model; Inverters; Current measurement; Magnetic materials; Photonic crystals; Interior permanent magnet (IPM); model predictive control (MPC); parameter-free; permanent magnet synchronous motor (PMSM); recursive least-square (RLS); synchronous motor
Categories
Funding
- University of Padova [SID 2017-BIRD175428]
Ask authors/readers for more resources
This article deals with a finite-set model predictive current control in synchronous motor drives. The peculiarity is that it does not require the knowledge of any motor parameter. The inherent advantage of this method is that the control is self-adapting to any synchronous motor, thus easing the matching between motor and inverter coming from different manufacturers. Overcoming the flaws of the existing lookup table based parameter-free techniques, the article elaborates the past current measurements by a recursive least-square algorithm to estimate the future behavior of the current in response to a finite set of voltage vectors. The article goes through the mathematical basis of the algorithm till a complete set of experiments that prove the feasibility and the advantages of the proposed technique.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available