Torque Ripple Reduction of IPMSM Drive with Non-sinusoidal Back-EMF by Predictive Control

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F22%3A43965475" target="_blank" >RIV/49777513:23220/22:43965475 - isvavai.cz</a>

Result on the web

<a href="https://ieeexplore.ieee.org/document/9831714" target="_blank" >https://ieeexplore.ieee.org/document/9831714</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ISIE51582.2022.9831714" target="_blank" >10.1109/ISIE51582.2022.9831714</a>

Result language

angličtina

Original language name

Torque Ripple Reduction of IPMSM Drive with Non-sinusoidal Back-EMF by Predictive Control

Original language description

In this paper we deal with predictive control of Interior Permanent Magnet Synchronous Motor (IPMSM) drive. The main goal of this paper is to improve produced torque quality by using precise mathematical model of IPMSM, which takes into account anisotropy of the motor construction. This phenomenon results in the effects such as nonlinear back EMF, high cogging torque etc. A conventional control algorithms deal with those effects by designing an optimal current references depending on some part of the motor non-linearity. The current reference design however may be quite complicated in the context of maintain high quality control performance with reasonable complexity of the control algorithm. In this paper we design a precise IPMSM model, which is based on measured characteristics of the real IPMSM. Furthermore a simple IPMSM model-based predictive controller using finite set of control actions with a simple cost function is presented. The cost function is designed to achieve tracking of required torque directly without the need for designing any current references. The proposed control algorithm is very simple and easy to implement, while achieving high quality torque control. The performance of the control is tested in experiments on a laboratory prototype of the 4.5kW IPMSM drive.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

20201 - Electrical and electronic engineering

Project

<a href="/en/project/EF18_069%2F0009855" target="_blank" >EF18_069/0009855: Electrical Engineering Technologies with High-Level of Embedded Intelligence</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

2022 IEEE 31st International Symposium on Industrial Electronics (ISIE) : /proceedings/

ISBN

978-1-66548-240-0

ISSN

2163-5145

e-ISSN

—

Number of pages

6

Pages from-to

1064-1069

Publisher name

IEEE

Place of publication

Piscataway

Event location

Anchorage, Alaska, USA

Event date

Jun 1, 2022

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000946662000167