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Energies
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Low-Speed Sensorless Control of Electrical Machine Drives
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Low-Speed Sensorless Control of Electrical Machine Drives

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F: Electrical Engineering".

Deadline for manuscript submissions: closed (31 October 2021) | Viewed by 2986

Special Issue Editor

Prof. Dr. Cyril Spiteri Staines

E-Mail Website
Guest Editor
Industrial Electrical Power Conversion, Faculty of Engineering, University of Malta, MSD 2080 Msida, Malta
Interests: electrical engineering; electrical energy conversion and efficiency; power systems; control of electric drives; power electronics; RES and microgrids
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

It is my pleasure, as Guest Editor, to invite submissions to a Special Issue of Energies entitled “Low-Speed Sensorless Control of Electrical Machine Drives”. The sensorless control of electrical machines, especially in the low-speed region, has gained a lot of importance over the years. The initial sensorless techniques were model-based, following this, for low- and zero-speed operation,  saliency tracking techniques were introduced. Such saliency tracking for speed and position estimation can be carried out by various methods, some which use additional frequency injection and others which analyse in real time the saliency dependent currents resulting from  inherent PWM switching frequencies.

This Special Issue will focus on the sensorless estimation and control of permanent magnet synchronous machines (PMSMs), asynchronous machines and other electrical machines. The topics of interest for publication include, but are not limited to:

  • Techniques using additional signal injection for sensorless position and speed estimation;
  • Application of PWM switching for sensorless position and speed estimation;
  • Electrical machine design for sensorless control;
  • Industrial applications of sensorless control in electric drives;
  • Self-commissioning electric drives;
  • Application of sensorless techniques for condition monitoring in electric machines;
  • High-performance sensorless control techniques.

Prof. Dr. Cyril Spiteri Staines
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • permanent magnet synchronous machine (PMSM)
  • sensorless speed and position estimation
  • induction machines
  • condition monitoring
  • self-commissioning
  • electrical machine design

Published Papers (1 paper)

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Research

18 pages, 6359 KiB  
Article
Regression Model-Based Flux Observer for IPMSM Sensorless Control with Wide Speed Range
by Jongwon Choi
Energies 2021, 14(19), 6249; https://doi.org/10.3390/en14196249 - 01 Oct 2021
Cited by 3 | Viewed by 2339
Abstract
A new linear regression form is derived for a flux observer and a position observer is designed. In general, the observability of the permanent-magnet synchronous motor is lost at zero speed. In this work, the proposed regressor vector contains current derivative terms in [...] Read more.
A new linear regression form is derived for a flux observer and a position observer is designed. In general, the observability of the permanent-magnet synchronous motor is lost at zero speed. In this work, the proposed regressor vector contains current derivative terms in both directions (dq-axis), and it gives the chance for the model-based flux observer to operate at zero speed. When an excitation signal is injected into d and q axes with the proposed flux observer, it helps to satisfy the persistent excitation condition in the low-speed range. Therefore, the sensorless performance of the model-based is improved greatly, even at zero speed. However, it appears with a disturbance term, which depends on the derivative of the d-axis current. Thus, the disturbance does not vanish when an excitation signal is injected. In this work, the disturbance term is also taken care of in constructing an observer. It results in an observer which allows signal injection. Thus, high frequency signal can be injected in the low speed region and turned off when it is unnecessary as the speed increases. This model-based approach utilizes the signal injection directly without recurring to a separate high frequency model. In other words, it provides a seamless transition without switching to the other algorithm. The validity is demonstrated by simulation and experimental results under various load conditions near zero speed. Full article
(This article belongs to the Special Issue Low-Speed Sensorless Control of Electrical Machine Drives)
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