Paper Info
Title
Discrete-Time Parameter Identification Of A Surface-Mounted Permanent Magnet Synchronous Machine
Abstract
A novel online discrete-time parameter identification algorithm suitable for surface-mounted permanent magnet synchronous machines (SPMs) is presented in this paper. It is developed by means of the model reference adaptive system technique and the Popov Hyperstability Criterion in order to identify SPM discrete-time model parameters. In particular, good accuracy of discrete-time parameters is required by digital control systems, particularly by predictive control algorithms, which present a low robustness against parameter mismatches. Hence, an extensive simulation study is first carried out in the Matlab Simulink environment with the aim of testing the effectiveness and robustness of the proposed identification algorithm against inverter unidealities. Then, the proposed identification procedure is experimentally validated on a predictive controlled radial-flux SPM, driven by a field programmable gate arrays control board.
Year
DOI
Venue
2013
10.1109/TIE.2012.2221113
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
Keywords
Field
DocType
Field programmable gate arrays (FPGAs), model reference adaptive control, parameter identification, permanent magnet machines, predictive control
Inverter,Change control board,Control theory,Model predictive control,Robustness (computer science),Control engineering,Engineering,Discrete time and continuous time,Hyperstability,Digital control,Machine control
Journal
Volume
Issue
ISSN
60
11
0278-0046
Citations 
PageRank 
References 
5
0.59
10
Authors
3
Name
Order
Citations
PageRank
Gianluca Gatto1375.52
Ignazio Marongiu2688.73
Alessandro Serpi3115.23