TY - CHAP

T1 - A geometric approach for the model parameter estimation in a permanent magnet synchronous motor

AU - Mercorelli, Paolo

N1 - Proofreading copy of the paper

PY - 2015/10/1

Y1 - 2015/10/1

N2 - Control of permanent magnetic motors is not an easy task because of the presence of unknown parameters. Techniques are needed in order to achieve a suitable controlled dynamics identification. The proposed strategy uses the geometric approach to realised a decoupling of the system. The estimation of the parameters of a Permanent Magnet Synchronous Motor (PMSM) is simplified through a decoupling. The decoupling is realised using a feedback controller combined with a feedforward one. The feedforward controller is conceived through an input partition matrix. This technique can be applied to a large variety of motors or to any system for which the decoupling conditions are satisfied. Simulation and measured results are reported to validate the proposed strategy.

AB - Control of permanent magnetic motors is not an easy task because of the presence of unknown parameters. Techniques are needed in order to achieve a suitable controlled dynamics identification. The proposed strategy uses the geometric approach to realised a decoupling of the system. The estimation of the parameters of a Permanent Magnet Synchronous Motor (PMSM) is simplified through a decoupling. The decoupling is realised using a feedback controller combined with a feedforward one. The feedforward controller is conceived through an input partition matrix. This technique can be applied to a large variety of motors or to any system for which the decoupling conditions are satisfied. Simulation and measured results are reported to validate the proposed strategy.

KW - Geometric approach

KW - Identification

KW - Permanent magnet synchronous motor

KW - Engineering

KW - Geometric approach

KW - Permanent magnet synchronous motor

KW - Identification

UR - http://www.scopus.com/inward/record.url?scp=84946068143&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-15765-8_26

DO - 10.1007/978-3-319-15765-8_26

M3 - Contributions to collected editions/anthologies

AN - SCOPUS:84946068143

SN - 978-3-319-15764-1

VL - 343

T3 - Lecture Notes in Electrical Engineering

SP - 425

EP - 438

BT - Computational Problems in Science and Engineering

A2 - Mastorakis, Nikos

A2 - Bulucea, Aida

A2 - Tsekouras, George

PB - Springer

CY - Switzerland

ER -