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Machines
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Electrical Engineering and Mechatronics Technology
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Electrical Engineering and Mechatronics Technology

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Robotics, Mechatronics and Intelligent Machines".

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 11540

Special Issue Editor

Prof. Dr. Kai Wang

E-Mail Website
Guest Editor
College of Electrical Engineering, Qingdao University, Qingdao 266071, China
Interests: life prediction of new energy storage devices; energy storage device; storage of new energy; distributed microgrid
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The ICEEMT 2021 is jointly held by the IEEE Consumer Electronics Society, organized by the School of Electrical Engineering of Qingdao University and School of Mechanical Engineering of Dalian Jiaotong University.

The IEEE International Conference on Electrical Engineering and Mechatronics Technology 2021 (ICEEMT 2021) will bring together top professionals from industry, government, and academia from around the world. ICEEMT 2021 includes invited talks, oral presentations and poster presentations of refereed papers.  The conference will provide networking opportunities for participants to share ideas, designs, and experiences on the state of the art and future direction of the field. ICEEMT 2021 will feature a high-quality technical and experiential program dealing with a mix of traditional and contemporary hot topics in paper presentations and high-profile keynotes. We invite submissions of papers and abstracts on all topics related to Electrical Engineering and Mechatronics Technology. Authors who did not attend the conference are also welcomed to submit their research.

Suitable topics for this Special Issue include but are not limited to:

1. Electronics Science and Engineering:

  • Electrical materials;
  • Electromagnetics;
  • Signal processing;
  • High voltage and insulation techniques;
  • Power electronics and applications;
  • Microwave;
  • Mechatronics;
  • Control theory and applications;
  • Biomedical electronics;
  • Manufacture and operation of electrical and electronic systems;
  • Intelligent systems;
  • Circuits and systems;
  • Digital circuit design;
  • Electronics;
  • Sensors;
  • Control engineering;
  • Electronic information;
  • Power engineering;
  • Opto-electronics.

2. Mechatronics Technology:

  • Mechatronics control;
  • Sensors and actuators;
  • 3D printing technologies;
  • Intelligent control;
  • Motion control;
  • Opto-electronic systems;
  • Opto-mechatronics;
  • Humanoid robots;
  • Unmanned vehicles;
  • Human–machine interfaces;
  • Advanced motion control;
  • Integrated manufacturing system;
  • Micro/nano-manufacturing and MEMS/NEMS;
  • Fault detection and diagnosis in mechatronics systems;
  • Industrial robots and automatic production lines;
  • Advanced forming manufacturing and equipment;
  • NEMS/MEMS technology and equipment;
  • Modeling, analysis and simulation of manufacturing processes;
  • High-speed/precision machining and inspection technology.

Prof. Dr. Kai Wang
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. Machines 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 2400 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.

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  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
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  • 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 polices can be found here.

Published Papers (3 papers)

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Research

14 pages, 1191 KiB  
Article
Deep Reinforcement Learning for Distributed Flow Shop Scheduling with Flexible Maintenance
by Qi Yan, Wenbin Wu and Hongfeng Wang
Machines 2022, 10(3), 210; https://doi.org/10.3390/machines10030210 - 16 Mar 2022
Cited by 30 | Viewed by 4485
Abstract
A common situation arising in flow shops is that the job processing order must be the same on each machine; this is referred to as a permutation flow shop scheduling problem (PFSSP). Although many algorithms have been designed to solve PFSSPs, machine availability [...] Read more.
A common situation arising in flow shops is that the job processing order must be the same on each machine; this is referred to as a permutation flow shop scheduling problem (PFSSP). Although many algorithms have been designed to solve PFSSPs, machine availability is typically ignored. Healthy machine conditions are essential for the production process, which can ensure productivity and quality; thus, machine deteriorating effects and periodic preventive maintenance (PM) activities are considered in this paper. Moreover, distributed production networks, which can manufacture products quickly, are of increasing interest to factories. To this end, this paper investigates an integrated optimization of the distributed PFSSP with flexible PM. With the introduction of machine maintenance constraints in multi-factory production scheduling, the complexity and computation time of solving the problem increases substantially in large-scale arithmetic cases. In order to solve it, a deep Q network-based solution framework is designed with a diminishing greedy rate in this paper. The proposed solution framework is compared to the DQN with fixed greedy rate, in addition to two well-known metaheuristic algorithms, including the genetic algorithm and the iterated greedy algorithm. Numerical studies show that the application of the proposed approach in the studied production-maintenance joint scheduling problem exhibits strong solution performance and generalization abilities. Moreover, a suitable maintenance interval is also obtained, in addition to some managerial insights. Full article
(This article belongs to the Special Issue Electrical Engineering and Mechatronics Technology)
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18 pages, 6225 KiB  
Article
An Observer-Based Harmonic Extraction Method with Front SOGI
by Maoguang Xu, Zhongqing Sang, Xiang Li, Yimin You and Dongyun Dai
Machines 2022, 10(2), 95; https://doi.org/10.3390/machines10020095 - 26 Jan 2022
Cited by 4 | Viewed by 2568
Abstract
With the further development of harmonic pollution in the power system, scientists have carried out research on harmonics. Among them, harmonic detection is the first step in harmonic research. In this paper, a harmonic detection method based on an observer is proposed. This [...] Read more.
With the further development of harmonic pollution in the power system, scientists have carried out research on harmonics. Among them, harmonic detection is the first step in harmonic research. In this paper, a harmonic detection method based on an observer is proposed. This method first uses the cascaded Second-Order Generalized Integration (SOGI) algorithm, which can filter the Direct Current (DC) component of the input signal to extract the fundamental frequency, and then uses a time-varying observer to extract the harmonics. This can be used to extract harmonics from a distorted online grid signal. The effectiveness of the proposed method was evaluated on the Speedgoat Rapid Control Prototype (RCP) platform. The results show that it can complete the convergence within 0.05 s, and the standard deviation after stability will not exceed 1%. Full article
(This article belongs to the Special Issue Electrical Engineering and Mechatronics Technology)
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13 pages, 5586 KiB  
Article
Simulation Analysis of Arc Interruption Characteristics in Disconnector
by Jianning Yin, Shanshan Yu, Shiwei Ge, Xinghua Liu and Chao Liu
Machines 2022, 10(1), 6; https://doi.org/10.3390/machines10010006 - 22 Dec 2021
Cited by 5 | Viewed by 2940
Abstract
Wind and solar energy are examples of clean energy that are widely developed and utilized in order to achieve the goal of carbon neutrality. Higher requirements for the safety and reliability of the power grid are put forward after they are connected to [...] Read more.
Wind and solar energy are examples of clean energy that are widely developed and utilized in order to achieve the goal of carbon neutrality. Higher requirements for the safety and reliability of the power grid are put forward after they are connected to it. In the case of disconnectors, as the power system’s protection equipment, their arc interruption characteristics are closely tied to the safety and reliability of the power system. In addition, a disconnector is required to be able to break the DC arc in the photovoltaic power generation system. Therefore, this paper focuses on the arc evolution characteristics in disconnectors. A magnetohydrodynamics (MHD) model of disconnectors was built. In this model, not only are the coupling of the electromagnetic field and the airflow field considered, but also the characteristics of the external circuit. Therefore, not only can arc evolution characteristics be obtained through this simulation model, but the breaking performance will also be directly obtained. The temperature, pressure and velocity distribution are obtained to analyze the evolution process. The curve of current versus time is calculated to analyze the breaking performance. The evolution characteristics of AC and DC arcs in the disconnector are analyzed by calculation and comparison. This provides theoretical guidance for the optimal design of DC disconnectors through simulation analysis. Full article
(This article belongs to the Special Issue Electrical Engineering and Mechatronics Technology)
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