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Machines
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Smart Mechatronics: Modeling, Instrumentation and Control
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Smart Mechatronics: Modeling, Instrumentation and Control

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 October 2023) | Viewed by 6586

Special Issue Editors

Dr. Luis Enrique González-Jiménez

E-Mail Website
Guest Editor
Department of Electronics, Systems and Informatics, ITESO, Tlaquepaque 45604, Jalisco, Mexico
Interests: robust nonlinear control; robotics; autonomous vehicles; computer vision
Dr. Luis Fernando Luque-Vega

E-Mail Website
Guest Editor
Innovación y Desarrollo Tecnológico CIIDETEC-UVM, Universidad del Valle de México, Tlaquepaque 45604, Jalisco, Mexico
Interests: robotics; UAVs; nonlinear control; educational mechatronics
Dr. Oscar Eleno Carbajal-Espinosa

E-Mail Website
Guest Editor
School of Engineering and Sciences, Tecnológico de Monterrey, Tlaquepaque, Mexico
Interests: robotics; autonomous vehicles; geometric algebra; nonlinear control

Special Issue Information

Dear Colleagues,

Mechatronics is one of the most active and exciting fields in engineering as its applications can be found across several areas including transportation, medicine, agriculture, goods management and distribution, industry 4.0, communications, home appliances, and more.

In order to develop these applications in mechatronics, the design of a robust and effective control algorithm is crucial. Depending on the control objective, with the possibility to measure related signals and available hardware for implementation, the selected control algorithm varies from classical approaches such as PID and linear state feedback, robust control schemes such as sliding mode and adaptive control, and advanced methodologies such as intelligent control.

The control algorithm usually relies on the obtainment of a mathematical model that permits the selection of the correct control scheme and determination of its parameters, whose complexity is defined by the nature of the mechatronic system itself.

Furthermore, the overall solution must be firmly based on the correct acquisition, conditioning, and interpretation of the signals related to the system. These tasks are addressed by the development of an electronic instrumentation system based on sensors and transducers such as encoders, inertial measurements systems, ultrasound sensors, LIDAR, and diverse types of cameras.

  • systems and control engineering
  • electronic engineering
  • mechatronics
  • robotics
  • mechanical systems, machines, and related components
  • machine vision
  • machine diagnostics and prognostics (condition monitoring)

Dr. Luis Enrique González-Jiménez
Dr. Luis Fernando Luque-Vega
Dr. Oscar Eleno Carbajal-Espinosa
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 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.

Keywords

  • mechatronics
  • control engineering
  • dynamical modeling
  • sensors and instrumentation

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Published Papers (3 papers)

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Research

17 pages, 2385 KiB  
Article
FIKA: A Conformal Geometric Algebra Approach to a Fast Inverse Kinematics Algorithm for an Anthropomorphic Robotic Arm
by Oscar Carbajal-Espinosa, Leobardo Campos-Macías and Miriam Díaz-Rodriguez
Machines 2024, 12(1), 78; https://doi.org/10.3390/machines12010078 - 20 Jan 2024
Viewed by 1351
Abstract
This paper presents a geometric approach to solve the inverse kinematics for an anthropomorphic robotic arm with seven degrees of freedom (DoF). The proposal is based on conformal geometric algebra (CGA), by which many geometric primitives can be operated naturally and directly. CGA [...] Read more.
This paper presents a geometric approach to solve the inverse kinematics for an anthropomorphic robotic arm with seven degrees of freedom (DoF). The proposal is based on conformal geometric algebra (CGA), by which many geometric primitives can be operated naturally and directly. CGA allows for the intersection of geometric entities such as two or more spheres or a plane’s projection over a sphere. Rigid transformations of such geometric entities are performed using only one operation through another geometric entity called a motor. CGA imposes geometric restrictions on the inverse kinematics solution, which avoids computation of the forward kinematics or other numerical solutions, unlike traditional approaches. Comparisons with state-of-the-art algorithms are included to prove our algorithm’s superior performance: such as decreased execution time and errors of the end-effector for a series of desired poses. Full article
(This article belongs to the Special Issue Smart Mechatronics: Modeling, Instrumentation and Control)
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25 pages, 31180 KiB  
Article
Design, Implementation, and Control of a Linear Electric Actuator for Educational Mechatronics
by Jesús Antonio Nava-Pintor, Miriam A. Carlos-Mancilla, Héctor A. Guerrero-Osuna, Luis F. Luque-Vega, Rocío Carrasco-Navarro, Salvador Castro-Tapia, Marcela E. Mata-Romero, Luis E. González-Jiménez and Luis Octavio Solís-Sánchez
Machines 2023, 11(9), 894; https://doi.org/10.3390/machines11090894 - 8 Sep 2023
Cited by 2 | Viewed by 2349
Abstract
Kinematics is a fundamental topic in engineering, robotics, mechatronics, and control systems and significantly resolves some of these fields’ most pressing issues. It is essential to assess the balance between a topic’s theoretical framework and its empirical validation to succeed in engineering. Educational [...] Read more.
Kinematics is a fundamental topic in engineering, robotics, mechatronics, and control systems and significantly resolves some of these fields’ most pressing issues. It is essential to assess the balance between a topic’s theoretical framework and its empirical validation to succeed in engineering. Educational tools have gained significant attention for their ability to enhance the learning experience by providing the hands-on experiences necessary to assess theoretical frameworks and empirical validations. This paper presents a system incorporating state-of-the-art features, including a fuzzy controller enabling precise control of a linear actuator and a USB camera, to provide an interactive experience. The USB camera captures the position of the actuator, providing real-time visual feedback and allowing the students to validate their theoretical understanding through practical experiments. Precision, accuracy, resolution, and the implementation of the fuzzy controller are measured to evaluate the whole system’s performance. The design, implementation, and control of our educational electrical linear actuator for teaching kinematics concepts contribute to a practical educational tool and advance interactive learning approaches in the field. Full article
(This article belongs to the Special Issue Smart Mechatronics: Modeling, Instrumentation and Control)
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17 pages, 5256 KiB  
Article
Design and Implementation of a Robotic Arm for a MoCap System within Extended Educational Mechatronics Framework
by Emmanuel Lopez-Neri, Luis F. Luque-Vega, Luis E. González-Jiménez and Héctor A. Guerrero-Osuna
Machines 2023, 11(9), 893; https://doi.org/10.3390/machines11090893 - 8 Sep 2023
Cited by 2 | Viewed by 2134
Abstract
Educational mechatronics aims to be the evolution of educational robotics so it can be identified as a part of the educational paradigm of the university, its academic spaces, infrastructure, and practical activities. The fundamental goal of this framework is to develop the knowledge [...] Read more.
Educational mechatronics aims to be the evolution of educational robotics so it can be identified as a part of the educational paradigm of the university, its academic spaces, infrastructure, and practical activities. The fundamental goal of this framework is to develop the knowledge and skills that the new industrial world, inspired by the latest technologies, necessitates. This work proposes the modular design of a robotic arm aligned with the extended educational mechatronics conceptual framework by designing and implementing educational tools to develop the knowledge and skills required for Industry 4.0. The 3D-printed, low-cost robotic arm is designed to be used in a motion capture system for robotics applications to build kinematics concepts for a learning process. In particular, the instructional design to build the mechatronic concept of a robot workspace is carried out considering the three learning levels: concrete, representational, and abstract. The above demonstrates how the proposed pedagogical methodology can impact Industry 4.0 in the small- and medium-sized enterprises’ context. Full article
(This article belongs to the Special Issue Smart Mechatronics: Modeling, Instrumentation and Control)
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