z-logo
open-access-imgOpen Access
Parameter estimation of permanent magnet synchronous motor and adaptive control by MRAS
Author(s) -
Hyunsuk Yang
Publication year - 2016
Publication title -
journal of the korea academia-industrial cooperation society
Language(s) - English
Resource type - Journals
eISSN - 2288-4688
pISSN - 1975-4701
DOI - 10.5762/kais.2016.17.2.697
Subject(s) - mras , permanent magnet synchronous motor , control theory (sociology) , permanent magnet synchronous generator , computer science , synchronous motor , magnet , vector control , control (management) , induction motor , engineering , electrical engineering , artificial intelligence , voltage
To control permanent magnet synchronous motors smoothly, it is important to know the exact parameter values of the stator resistance, various inductances, and the flux linkage of the permanent magnet. In practice, these parameters vary due to a variable operating point, temperature change, or a fault. This paper proposes a MRAS (Model Reference Adaptive System) based parameter estimator and adaptive control scheme. Owing to the non-linearity of the system equation with respect to these parameters, although many schemes proposed previously assumed that some parameters are known, all the parameters were assumed to be unknown. The simulation results revealed the effectiveness of the proposed algorithm.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom