Publication detail

PMSM PI Current Controller Tuning Using Structurally Constrain LQR LMI Criteria for MIMO Plants

POHL, L. BARTÍK, O.

Original Title

PMSM PI Current Controller Tuning Using Structurally Constrain LQR LMI Criteria for MIMO Plants

Type

conference paper

Language

English

Original Abstract

In this paper the convex optimization technique is proposed for parameter tuning of a PI controller. Presented non-iterative two step procedure is able to optimize the coefficients of a structured output feedback matrix using the LQR cost function. It is also shown that the matrix coefficients can be linked to PI controller parameters simply by extending the state space model of the plant. The capability of this method to optimize controllers for MIMO plants is demonstrated on current control of the real PMSM.

Keywords

PMSM, MIMO, LMI, convex optimization, structured feedback

Authors

POHL, L.; BARTÍK, O.

Released

10. 12. 2018

ISBN

978-1-5386-8257-9

Book

Proceedings of 4th IEEE Southern Power Electronics Conference, SPEC 2018

Pages from

447

Pages to

452

Pages count

6

BibTex

@inproceedings{BUT153236,
  author="Lukáš {Pohl} and Ondřej {Bartík}",
  title="PMSM PI Current Controller Tuning Using Structurally Constrain LQR LMI Criteria for MIMO Plants",
  booktitle="Proceedings of 4th IEEE Southern Power Electronics Conference, SPEC 2018",
  year="2018",
  pages="447--452",
  isbn="978-1-5386-8257-9"
}