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Special Issue "Selected Papers from IEEE ICICE 2017"

A special issue of Energies (ISSN 1996-1073).

Deadline for manuscript submissions: closed (1 March 2018)

Special Issue Editors

Guest Editor
Prof. Dr. Shoou-Jinn Chang

Department of Electrical Engineering, National Cheng Kung University, Tainan 701, Taiwan
Website | E-Mail
Interests: optical and electronic devices, semi-conductive materials, nanotechnology
Guest Editor
Prof. Dr. Teen­Hang Meen

Chair of IEEE Tainan Section Sensors Council Department of Electronic Engineering National Formosa University, Yunlin 632
Website | E-Mail
Interests: photovoltaic device; dye-sensitized solar cells; nanotechnology
Guest Editor
Dr. Stephen D. Prior

Aeronautics, Astronautics and Computational Engineering, University of Southampton, Southampton SO16 7QF, UK
Website | E-Mail
Interests: microsystem design; nanotechnology

Special Issue Information

Dear Colleagues,

2017 IEEE International Conference on Information, Communication and Engineering (ICICE 2017) will be held in Xiamen, Fujian, P.R. China on November 17–20, 2017, and will provide a unified communication platform for researchers in a wide area of topics. The special issue “Selected Papers from IEEE ICICE 2017” of Energies (ISSN 1996-1073) provides related scientific research, technology development and policy and management studies. It publishes reviews and regular research papers. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. The full experimental details must be provided so that the results can be reproduced.

This special issue selects excellent papers from ICICE 2017. We invite investigators to contribute original research articles, as well as review articles, to this special issue. Potential topics include, but are not limited to:

  • Energy Fundamentals
  • Primary Energy Sources
  • Secondary Energy Sources and Energy Carriers
  • Energy Exploration
  • Intermediate and Final Energy Use
  • Energy Conversion Systems
  • Energy Policy
  • Exergy
  • Energetics
  • Energy Research and Development

Prof. Dr. Shoou-Jinn Chang
Prof. Teen­Hang Meen
Dr. Stephen D. Prior
Guest Editors

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 papers will be 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 1800 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

  • Energy Fundamentals
  • Primary Energy Sources
  • Secondary Energy Sources and Energy Carriers
  • Energy Exploration
  • Intermediate and Final Energy Use
  • Energy Conversion Systems

Published Papers (1 paper)

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Research

Open AccessArticle
Sliding Mode and Neural Network Control of Sensorless PMSM Controlled System for Power Consumption and Performance Improvement
Energies 2017, 10(11), 1780; https://doi.org/10.3390/en10111780
Received: 14 October 2017 / Revised: 30 October 2017 / Accepted: 1 November 2017 / Published: 5 November 2017
Cited by 9 | PDF Full-text (5137 KB) | HTML Full-text | XML Full-text
Abstract
This paper deals with the design of sliding mode control and neural network compensation for a sensorless permanent magnet synchronous motor (PMSM) controlled system that is able to improve both power consumption and speed response performance. The position sensor of PMSM is unreliable [...] Read more.
This paper deals with the design of sliding mode control and neural network compensation for a sensorless permanent magnet synchronous motor (PMSM) controlled system that is able to improve both power consumption and speed response performance. The position sensor of PMSM is unreliable in harsh environments. Therefore, the sensorless control technique is widely proposed in industry. A sliding mode observer can estimate the rotor angle and has the robustness to load disturbance and parameter variations. However, the sliding mode observer is not conducive to standstill and low speed conditions because the amplitude of the back EMF is almost zero. As a result, this paper combines an iterative sliding mode observer (ISMO) and neural networks (NNs) as an angle compensator to improve the above problems. A dsPIC30F6010A-based PMSM sensorless drive system is implemented to validate the proposed algorithm. The simulation and experimental results prove its effectiveness. Full article
(This article belongs to the Special Issue Selected Papers from IEEE ICICE 2017)
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