Submit to Applied Sciences Review for Applied Sciences Propose a Special Issue

Journal Menu

Journal Browser

► Journal Browser

Modeling, Algorithm, and Reliability Issues in Mechatronic Engineering

Special Issue Editors
Special Issue Information
Keywords
Benefits of Publishing in a Special Issue
Published Papers

A special issue of Applied Sciences (ISSN 2076-3417).

Deadline for manuscript submissions: closed (31 January 2019) | Viewed by 25184

Share This Special Issue

Special Issue Editor

Dr. Yuh-Chung Hu

E-Mail Website
Guest Editor

Department of Mechanical and Electromechanical Engineering, National ILan University, ILan City, Taiwan

Special Issue Information

Dear Colleagues,

Mechatronic systems are mostly a combination of mechanical elements, sensors, actuators, micro control unit, and other electronics. The sensors in these systems absorb signals from their surroundings and react to these signals using appropriate processing to generate acquired output signals. The micro control units contribute data acquisition methods and algorithms and decision making. The mechanical elements contribute to the design, manufacturing, and system dynamics. Actuators contribute to the response to surroundings, according to the decisions made by micro control units. Electronics include analog/digital signals conversion, filtering, power supply, etc. A few examples of mechatronic systems include aircraft flight control and navigation systems, automated guided vehicles, digitally-controlled machine tools, robots, and smart home appliances. Mechatronics is a multidisciplinary field of applied science. The research and development of mechatronic systems contain the following issues: A fully coupled multi-physics modeling of mechatronic devices, algorithms of signals processing, and the reliability and test methods. The aim of this Special Issue is to collect high-quality research results on all these aspects of mechatronic engineering.

Dr. Yuh-Chung Hu
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. Applied Sciences 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 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.

Keywords

actuators
algorithm
mechatronic systems
multi-physics modeling
reliability
sensors
testing

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 polices can be found here.

Published Papers (6 papers)

Download All Papers

Order results

Result details

Show export options Show export options

Select all

Export citation of selected articles as:

Research

18 pages, 769 KiB

Open AccessArticle

Improved Safety Analysis Integration in a Systems Engineering Approach

by Anis Baklouti, Nga Nguyen, Faïda Mhenni, Jean-Yves Choley and Abdelfattah Mlika

Appl. Sci. 2019, 9(6), 1246; https://doi.org/10.3390/app9061246 - 25 Mar 2019

Cited by 22 | Viewed by 4511

Abstract

The goal of the paper is the integration of safety analysis in a model-based systems engineering approach to ensure consistency between system design and safety artifacts. This integration permits the continuous improvement of the structure and behavior of the system. It also reduces system development time and prevents late detection of errors. To reach this purpose, the SafeSysE methodology is extended. In SafeSysE, a preliminary Failure Mode and Effects Analysis (FMEA) is automatically generated from a SysML model, and this FMEA is then completed by the safety expert but no further development was proposed. The contribution of this paper is to suggest recommendations based on the FMEA analysis in order to enhance the system design and make it comply with safety requirements. First, an updated system structure that may contain redundancy is proposed. Then, a redundancy profile is used to enrich the system model with redundancy information, which will allow the generation of a dynamic fault tree considering the system behavior. Finally, the generated dynamic fault tree should be analyzed in order to create a state machine diagram that describes the behavior of the system. The created state machine with an internal block diagram will help the system designers to better understand the system dysfunctions by simulating the system. The proposed methodology is applied to an Electro-Mechanical Actuator system which is used in the aeronautics domain. Full article

(This article belongs to the Special Issue Modeling, Algorithm, and Reliability Issues in Mechatronic Engineering)

► Show Figures

Figure 1

17 pages, 3946 KiB

Open AccessArticle

MC_MoveAbsolute() 4th Order Real-Time Trajectory Generation Function Algorithm and Implementation

by Krzysztof Pietrusewicz, Paweł Waszczuk and Michał Kubicki

Appl. Sci. 2019, 9(3), 538; https://doi.org/10.3390/app9030538 - 5 Feb 2019

Cited by 2 | Viewed by 4980

Abstract

This paper presents the issue of generating motion trajectories in a digital servo drive in accordance with the PLCopen Motion Control standard. This standard does not limit the details of motion generation in the electromechanical systems, but indicates its interface and set of necessary parameters. Moreover, it is placed within a state machine, which allows the individual software elements to integrate with it seamlessly. This work discusses time-optimal point-to-point trajecto-ries, i.e., the initial and final reference speeds are zero, and they are compliant with the MC_MoveAbsolute() function defined in the PLCopen Motion Control standard. The smoothness of the resulting trajectory can be attributed to the use of a fourth order trajectory generator, which defines the bounds up to snap – the second derivative of acceleration. One of the aims of this article was to bridge the theoretical aspect of trajectory generation with the algorithms practical implementation, by the means of PLC code generation using the MATLAB/Simulink package. Full article

(This article belongs to the Special Issue Modeling, Algorithm, and Reliability Issues in Mechatronic Engineering)

► Show Figures

Figure 1

40 pages, 7884 KiB

Open AccessArticle

Metamodelling for Design of Mechatronic and Cyber-Physical Systems

by Krzysztof Pietrusewicz

Appl. Sci. 2019, 9(3), 376; https://doi.org/10.3390/app9030376 - 22 Jan 2019

Cited by 20 | Viewed by 6577

Abstract

The paper presents the issue of metamodeling of Domain-Specific Languages (DSL) for the purpose of designing complex mechatronics systems. Usually, one of the problems during the development of such projects is an interdisciplinary character of the team that is involved in this endeavour. The success of a complex machine project (e.g., Computer Numerically Controlled machine (CNC), loading crane, forestry crane) often depends on a proper communication between team members. The domain-specific modelling languages developed using one of the two approaches discussed in the work, lead to a machine design that can be carried out much more efficiently than with conventional approaches. Within the paper, the Meta-Object Facility (MOF) approach to metamodeling is presented; it is much more prevalent in modern modelling software tools than Graph-Object-Property-Relationship-Role (GOPRR). The main outcome of this work is the first presentation of researchML modelling language that is the result of more than twenty ambitious research and development projects. It is effectively used within new enterprises and leads to improved traceability of the project goals. It enables for fully-featured automatic code generation which is one of the main pillars of the agile management within mechatronic system design projects. Full article

(This article belongs to the Special Issue Modeling, Algorithm, and Reliability Issues in Mechatronic Engineering)

► Show Figures

Figure 1

13 pages, 5412 KiB

Open AccessArticle

MFC/IMC Control Algorithm for Reduction of Load Torque Disturbance in PMSM Servo Drive Systems

by Krzysztof Pietrusewicz, Paweł Waszczuk and Michał Kubicki

Appl. Sci. 2019, 9(1), 86; https://doi.org/10.3390/app9010086 - 26 Dec 2018

Cited by 9 | Viewed by 3693

Abstract

The following article presents the hybrid control scheme (MFC/IMC) that involves model following control (MFC) and internal model control (IMC) for velocity control of permanent magnet synchronous motor (PMSM) with the aim of reducing the influence of torque load disturbance. A brief description of the MFC/IMC algorithm is given, its structure is an expansion of a classical cascade control loop; the PMSM model was linearized in order for it to be applicable to the proposed solution. Numerical analysis of sensitivity for both systems (i.e., the MFC/IMC cascade and the classical one) is given with regards to their robustness to torque load disturbance. The behavior of these two control schemes is then analyzed on a laboratory test stand with various load disturbances introduced to the system; the methodology and the test stand itself are also briefly presented in the article. The results presented in the form of performance indices and graphs prove that the developed MFC/IMC method is an improvement over the classical cascade for velocities near the operating point. Full article

(This article belongs to the Special Issue Modeling, Algorithm, and Reliability Issues in Mechatronic Engineering)

► Show Figures

Figure 1

16 pages, 1055 KiB

Open AccessArticle

Planning of Partially Accelerated Degradation Test with Two Stress Variables for Practical Lifetime Estimation

by Sung Kyu Kim, Heonsang Lim, Si-Il Sung and Yong Soo Kim

Appl. Sci. 2018, 8(11), 2162; https://doi.org/10.3390/app8112162 - 5 Nov 2018

Cited by 4 | Viewed by 2500

Abstract

The reliability information for novel products and specimens available for various tests is limited during the development stage. In many real cases, the results of general tests under use and the maximum stress levels for checking performance and design are not utilized to obtain reliability information. To solve these problems, this paper proposes a practical partially accelerated degradation test (PADT) plans with two stress variables using a two-phase strategy. In addition, a sample scenario is introduced to demonstrate the feasibility of the proposed procedure. In the first phase, the ratios of the specimens used and the maximum stress levels for each variable are determined to estimate the parameters of an accelerated model based on the D-optimality criteria. To estimate the lifetime information and check the curvature effects of the accelerated model, practical PADT plans are developed in the second phase with three stress levels for each variable, which are based on the compromise concept. In this phase, the ratios for all test points and the middle-stress levels for two variables are determined. This information is used to minimize the asymptotic variance of the maximum likelihood estimator for the q-th quantile of the lifetime distribution under the use conditions. Thus, more accurate lifetime information and model validity can be obtained when using practical PADT plans. Finally, the statistical efficiency of the proposed test plan is demonstrated in a sample scenario. Full article

(This article belongs to the Special Issue Modeling, Algorithm, and Reliability Issues in Mechatronic Engineering)

► Show Figures

Figure 1

13 pages, 330 KiB

Open AccessArticle

The Mathematical Model and Numerical Solution of Instantaneous Availabilities for the Two-Unit Series Repairable System and Parallel Repairable System with Three States

by Yi Yang, Qianbin Li and Xuefeng Chen

Appl. Sci. 2018, 8(10), 1759; https://doi.org/10.3390/app8101759 - 29 Sep 2018

Cited by 2 | Viewed by 2048

Abstract

This paper is aimed to obtain the instantaneous availabilities (IAs) for the two-unit series system and parallel system with three states. By the compound

S i m p s o n

formula and the compound trapezoidal formula, we get the numerical solution of [...] Read more.

This paper is aimed to obtain the instantaneous availabilities (IAs) for the two-unit series system and parallel system with three states. By the compound

S i m p s o n

formula and the compound trapezoidal formula, we get the numerical solution of IA for the two-unit series system with three states based on the renewal process. With four-order

R u n g e

K u t t a

formula, the numerical solution of IA for the two-unit parallel system with three states is obtained based on the Markov process. Full article

(This article belongs to the Special Issue Modeling, Algorithm, and Reliability Issues in Mechatronic Engineering)

► Show Figures

Journal Menu

Journal Browser

Modeling, Algorithm, and Reliability Issues in Mechatronic Engineering

Share This Special Issue

Special Issue Editor

Special Issue Information

Keywords

Benefits of Publishing in a Special Issue

Published Papers (6 papers)

Research

Further Information

Guidelines

MDPI Initiatives

Follow MDPI