Sensor-Based Integrated Mechatronic Systems

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".

Deadline for manuscript submissions: closed (30 November 2018) | Viewed by 7156

Special Issue Editors


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Guest Editor
Inst. Mechatronical Sys. Eng., National Univ. of Tainan, Tainan, Taiwan
Interests: sensors; mechatronics systems; integration; intelligent design; measuring

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Guest Editor
Department of Mechanical Engineering, National Chung Cheng University, Chia-Yi, Taiwan
Interests: microfluidics; Nanofluidics; Lab-on-a-chip

Special Issue Information

Dear Colleagues,

Mechatronics is defined as the synergistic combination of precision mechanical engineering, electronic control, and intelligent software in a systems framework, adopted in the design of products. It is a multidisciplinary field of science, including mechanical engineering, electronics, computer engineering, telecommunications engineering and control engineering. Today, mechatronics has become a design philosophy, an integrating approach to engineering. Integrated mechatronic system has strongly increased in the design of robots, cameras, machine tools, cars, vehicles, aircraft and spacecraft and so on. Sensing is one of the most important elements of the mechatronic system, which produces a signal relating to the quantity being measured, as well as the essential information about the state of the system and its environment. Many research groups are interested in the field of sensors, exploring new technologies, investigating new principles and structures, aiming at reduced price, miniaturization, smart and enhanced performance. However, more versatile tasks, dedicated sensors are needed to fulfil specific requirements, for instance, intelligent mechatronic systems, MEMS/NEMS and biomedical applications. The present Special Issue would like to provide the readers with a fresh overview, and the most recent advances on sensor-based integrated mechatronic systems. This special issue also selects the excellent paper from ICMAEE2018 (http://icmaee.org/), which will be held during July 7-9, ChiangMai, Thailand.

Prof. David T.W. Lin
Prof. Chun Ping Jen
Guest Editors

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Keywords

  • sensors
  • mechatronics systems
  • integration
  • intelligent design
  • measuring

Published Papers (2 papers)

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27 pages, 8086 KiB  
Article
Convergence Optimization and Verification for Single-Channel Remote Parameter Control of a Nonlinear System
by Meng Li and Yong Zhang
Appl. Sci. 2019, 9(3), 549; https://0-doi-org.brum.beds.ac.uk/10.3390/app9030549 - 06 Feb 2019
Cited by 1 | Viewed by 2246
Abstract
In this paper, the theory of RPC (remote parameter control) iteration process of linear situation without and with iteration coefficient as well as nonlinear situation with coefficient is analyzed. The influence of iteration coefficient on iterative convergence control condition is analyzed. Two kinds [...] Read more.
In this paper, the theory of RPC (remote parameter control) iteration process of linear situation without and with iteration coefficient as well as nonlinear situation with coefficient is analyzed. The influence of iteration coefficient on iterative convergence control condition is analyzed. Two kinds of optimized control method for iteration coefficient based on the system transfer function estimation are proposed. A lightweight motorcycle and electro-hydraulic servo road vibration test bench are used to verify the feasibility of the optimized control methods for the reproduction of road profiles of SISO (single-input, single-output) system. According to the experiment result, which is the RMS (root mean square) of the NSRE (normalized spectrum of response error) of system, the convergent precision, convergent speed and iteration stability are discussed to present the advantage and disadvantage of the optimized control methods. Compared with three commonly used manual methods, the result shows the rapidity and stability of optimized control methods. Full article
(This article belongs to the Special Issue Sensor-Based Integrated Mechatronic Systems)
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20 pages, 13571 KiB  
Article
Experimental Design of a Mobile Landing Platform to Assist Aerial Surveys in Fluvial Environments
by David Borreguero, Omar Velasco and João Valente
Appl. Sci. 2019, 9(1), 38; https://0-doi-org.brum.beds.ac.uk/10.3390/app9010038 - 22 Dec 2018
Cited by 8 | Viewed by 4625
Abstract
Sampling aquatic ecosystems is a laborious and expensive task, especially when covering large areas. This can be improved using unmanned aerial vehicles (UAVs) equipped with various remote sensing sensors. However, the UAV performance and autonomy may vary due to external factors when it [...] Read more.
Sampling aquatic ecosystems is a laborious and expensive task, especially when covering large areas. This can be improved using unmanned aerial vehicles (UAVs) equipped with various remote sensing sensors. However, the UAV performance and autonomy may vary due to external factors when it is operated outdoors. In some cases, an emergency landing maneuver is necessary to avoid an accident, since in fluvial environments, the UAV control landing becomes a difficult operation. Therefore, it is important to have a backup platform on the water to fix this problem. This paper presents the design and development of a custom-built unmanned surface vehicle using open-source tools and with two types of operation—remotely piloted and autonomous—to support remote sensing practices with UAVs in fluvial environments. Finally, part of the software developed within this project was released in an open-source repository. Full article
(This article belongs to the Special Issue Sensor-Based Integrated Mechatronic Systems)
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