Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.2
3.0
Journals
Micromachines
Special Issues
Power MEMS for Energy Harvesting
share announcement

Power MEMS for Energy Harvesting

A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "E：Engineering and Technology".

Deadline for manuscript submissions: 31 May 2025 | Viewed by 509

Special Issue Editor

Prof. Dr. Chun-An Cheng

E-Mail Website
Guest Editor
Department of Electrical Engineering, I-Shou University, Kaohsiung 84001, Taiwan
Interests: power electronics; power conversion; electronic lighting; energy-saving
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Energy harvesting devices that utilize microelectromechanical systems (MEMS) technology can generate electrical energy from a variety of ambient energy sources, such as solar, mechanical, thermal, or electromagnetic. These devices typically generate electrical energy by converting energy from various environments using miniature sensors or energy harvesters. Energy harvesting devices composed of mechanical vibration, photovoltaic transduction, vibration transduction, piezoelectric transduction, electromagnetic transducers, electrostatic transducers, etc., combined with MEMS technology have the potential to power a wide range of power-consuming applications, including devices such as wireless sensors, Internet of Things (IoT) devices, and wearable electronics, making them a very novel and interesting topic for research and development.

Power electronics combines solid-state electronics and the latest semiconductor technologies for energy and power harvesting, conversion, and control applications. Therefore, this Special Issue aims to invite original research papers, short communications, and review articles focusing on the latest developments and technologies in the integration of power electronics with sensors and transducers in various environments for the application of MEMS sensors in enhanced energy harvesting systems.

Prof. Dr. Chun-An Cheng
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. Micromachines is an international peer-reviewed open access monthly 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 2100 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

  • microelectromechanical systems (MEMS)
  • energy harvester
  • sensors
  • power electronics
  • power conversion
  • mechanical vibrations
  • micro solar cell arrays
  • vibrational transduction
  • photovoltaic transduction
  • piezoelectric transduction
  • electromagnetic transducers
  • electrostatic transducers

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

22 pages, 4401 KiB  
Article
A New and Improved Sliding Mode Control Design Based on a Grey Linear Regression Model and Its Application in Pure Sine Wave Inverters for Photovoltaic Energy Conversion Systems
by En-Chih Chang, Yeong-Jeu Sun and Chun-An Cheng
Micromachines 2025, 16(4), 377; https://doi.org/10.3390/mi16040377 - 26 Mar 2025
Viewed by 218
Abstract
A new and improved sliding mode control (NISMC) with a grey linear regression model (GLRM) facilitates the development of high-quality pure sine wave inverters in photovoltaic (PV) energy conversion systems. SMCs are resistant to variations in internal parameters and external load disturbances, resulting [...] Read more.
A new and improved sliding mode control (NISMC) with a grey linear regression model (GLRM) facilitates the development of high-quality pure sine wave inverters in photovoltaic (PV) energy conversion systems. SMCs are resistant to variations in internal parameters and external load disturbances, resulting in their popularity in PV power generation. However, SMCs experience a slow convergence time for system states, and they may cause chattering. These limitations can result in subpar transient and steady-state performance of the PV system. Furthermore, partial shading frequently yields a multi-peaked power-voltage curve for solar panels that diminishes power generation. A traditional maximum power point tracking (MPPT) algorithm in such a case misclassifies and fail to locate the global extremes. This paper suggests a GLRM-based NISMC for performing MPPT and generating a high-quality sine wave to overcome the above issues. The NISMC ensures a faster finite system state convergence along with reduced chattering and steady-state errors. The GLRM represents an enhancement of the standard grey model, enabling greater accuracy in predicting global state points. Simulations and experiments validate that the proposed strategy gives better tracking performance of the inverter output voltage during both steady state and transient tests. Under abrupt load changing, the proposed inverter voltage sag is constrained to 10% to 90% of the nominal value and the voltage swell is limited within 10% of the nominal value, complying with the IEEE (Institute of Electrical and Electronics Engineers) 1159-2019 standard. Under rectified loading, the proposed inverter satisfies the IEEE 519-2014 standard to limit the voltage total harmonic distortion (THD) to below 8%. Full article
(This article belongs to the Special Issue Power MEMS for Energy Harvesting)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-1
Back to TopTop