Design, Modeling and Control of Advanced Mechatronic Systems

A special issue of Machines (ISSN 2075-1702).

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 7698

Special Issue Editors


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Guest Editor
School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
Interests: electro-mechatronical engineering; hydraulic transmission and control; modeling and control; vehicle and construction machinery
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
Interests: mechatronic engineering; hydraulic transmission and control; precision detection technique
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
Interests: mechatronic engineering; hydraulic transmission and control; precision detection technique

Special Issue Information

Dear Colleagues,

Advanved mechatronic systems include but are not limited to aircrafts, vehicles, ships, intelligent manufacturing tools, robots, medical and healthcare machinery, power machinery, and other field machines with modern mechanical equipment, key components, and core control units. The scopes of study are broad and uniform, covering modeling and simulation, synthesis design, control systems, as well as key components and subsystems such as fluid power, electromechanical control, transmission and drive, networked motion control, cyberphysical systems (CPS), etc. In recent years, with the deep integration of CPS, big data, artificial intelligence, and electromechanical systems, there have been many new achievements.

This Special Issue aims to report and release high-impact research that expands our knowledge of the design, modeling, and control of advanved mechatronic systems. We invite high-quality research that investigates the design, modeling, or control of advanved mechatronic systems in one of the following areas (but not limited to them): hydrodynamic modeling, intelligent control algorithms, hydraulic transmission and control, machinery design and manufacture, medical apparatus and instruments, automotive engineering, energy resource transportation, advanced detection technology, robot technol-ogy, vibration and isolation, and other mechatronics engineering directions.

Prof. Dr. Yunhua Li
Dr. Yan Shi
Dr. Yixuan Wang
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

  • hydrodynamic modeling
  • intelligent control algorithm
  • hydraulic transmission and control
  • machinery design and manufacture
  • medical apparatus and instruments
  • automotive engineering
  • energy resource transportation
  • advanced detection technology
  • robot technology
  • vibration and isolation
  • mechatronics engineering

Published Papers (4 papers)

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Research

16 pages, 5391 KiB  
Article
A Neural Network Structure with Attention Mechanism and Additional Feature Fusion Layer for Tomato Flowering Phase Detection in Pollination Robots
by Tongyu Xu, Xiangyu Qi, Sen Lin, Yunhe Zhang, Yuhao Ge, Zuolin Li, Jing Dong and Xin Yang
Machines 2022, 10(11), 1076; https://doi.org/10.3390/machines10111076 - 15 Nov 2022
Cited by 3 | Viewed by 1213
Abstract
In recent years, convolutional neural networks have made many advances in the field of computer vision. In smart greenhouses, using robots based on computer vision technology to pollinate flowers is one of the main methods of pollination. However, due to the complex lighting [...] Read more.
In recent years, convolutional neural networks have made many advances in the field of computer vision. In smart greenhouses, using robots based on computer vision technology to pollinate flowers is one of the main methods of pollination. However, due to the complex lighting environment and the influence of leaf shadow in the greenhouse, it is difficult for the existing object detection algorithms to have high recall rate and accuracy. Based on this problem, from the perspective of application, we proposed a Yolov5s-based tomato flowering stage detection method named FlowerYolov5, which can well identify the bud phase, blooming phase and first fruit phase of tomato flowers. Firstly, in order to reduce the loss of tomato flower feature information in convolution and to strengthen the feature extraction of the target, FlowerYolov5 adds a new feature fusion layer. Then, in order to highlight the information of the object, the Convolutional Block Attention module (CBAM) is added to the backbone layer of FlowerYolov5. In the constructed tomato flower dataset, compared with YOLOv5s, the mAP of FlowerYolov5 increased by 7.8% (94.2%), and the F1 score of FlowerYolov5 increased by 6.6% (89.9%). It was found that the overall parameter of FlowerYolov5 was 23.9 Mbyte, thus achieving a good balance between model parameter size and recognition accuracy. The experimental results show that the FlowerYolov5 has good robustness and more accurate precision. At the same time, the recall rate has also been greatly improved. The prediction results of the proposed algorithm can provide more accurate flower positioning for the pollination robot and improve its economic benefits. Full article
(This article belongs to the Special Issue Design, Modeling and Control of Advanced Mechatronic Systems)
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24 pages, 9307 KiB  
Article
Mixed Sensitivity Servo Control of Active Control Systems
by Yanjun Zhou, Jian Liu, Qingyu Wang and Yunan Zhu
Machines 2022, 10(10), 842; https://doi.org/10.3390/machines10100842 - 22 Sep 2022
Cited by 1 | Viewed by 1311
Abstract
The aircraft control system of the future will be a combination of fly-by-wire technology and Active Control System (ACS) which, based on the artificial feel system, provides a control strategy for both position and force. The ACS has uncertainties, such as the mass [...] Read more.
The aircraft control system of the future will be a combination of fly-by-wire technology and Active Control System (ACS) which, based on the artificial feel system, provides a control strategy for both position and force. The ACS has uncertainties, such as the mass of the simulated stick, system inertia, system damping and friction. In this paper, aiming at the servo control method of ACS, a mathematical model of ACS was setup. Then, to eliminate the perturbation of the external environment, such as noise and disturbance torque, a robust control method based on H was proposed. Finally, to verify the simulation results, the mathematical model was verified via experimental studies. Full article
(This article belongs to the Special Issue Design, Modeling and Control of Advanced Mechatronic Systems)
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15 pages, 5609 KiB  
Article
Task-Level Energy Efficiency Evaluation Method Based on Aero-Engine Thrust-Specific Fuel Consumption with Application to Environment Control System
by Haodong Liu, Sujun Dong, Hongsheng Jiang, Yuanye Zhou, Yongji Liu and Jianjun Wu
Machines 2022, 10(8), 643; https://doi.org/10.3390/machines10080643 - 03 Aug 2022
Viewed by 1571
Abstract
There has recently been a considerable and dramatic change in the system design of some future aircraft. The use of electrical energy has led to a demand for rapid technology development in the environment control system (ECS). Extracting energy from the aero-engine in [...] Read more.
There has recently been a considerable and dramatic change in the system design of some future aircraft. The use of electrical energy has led to a demand for rapid technology development in the environment control system (ECS). Extracting energy from the aero-engine in the form of compressed air and electric power to drive the ECS directly affects aero-engine fuel economy. There is an urgent demand for a task-level energy efficiency evaluation method to guide energy and heat sink scheduling. This paper takes the F22 Raptor fighter jet as the research object and analyzes the influence of bleed air and electric power on the thrust and thrust-specific fuel consumption (TSFC) based on the exergy analysis method. First, a two-step TSFC surrogate model is constructed, and a task-level energy efficiency evaluation method is proposed. The error of the TSFC surrogate model is less than 5%, which means the accuracy of the model is sufficient to meet the needs of engineering. Then, the task-level energy efficiency evaluation results show that the vapor cycle has significant fuel economy when the cooling capacity is large, while the air cycle has certain advantages with a small cooling capacity. The method of TSFC surrogate model reduces computational complexity of evaluation with enough accuracy, which can provide a reference for selecting ECS type and guide the optimization of the cooling capacity distribution of the air cycle and vapor cycle. Full article
(This article belongs to the Special Issue Design, Modeling and Control of Advanced Mechatronic Systems)
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23 pages, 4503 KiB  
Article
Temperature Dynamic Characteristics Analysis and Thermal Load Dissipation Assessment for Airliner Hydraulic System in a Full Flight Mission Profile
by Dong Li, Sujun Dong, Jun Wang and Yunhua Li
Machines 2022, 10(4), 258; https://doi.org/10.3390/machines10040258 - 02 Apr 2022
Cited by 1 | Viewed by 2536
Abstract
This paper deals with the modeling of the thermal load and the simulation of thermal dynamic characteristics for the hydraulic system of a large airliner in a full mission profile. Firstly, the formation mechanism of the thermal load in the hydraulic system is [...] Read more.
This paper deals with the modeling of the thermal load and the simulation of thermal dynamic characteristics for the hydraulic system of a large airliner in a full mission profile. Firstly, the formation mechanism of the thermal load in the hydraulic system is analyzed, and thermal dynamic modeling is conducted of the hydraulic components of an hydraulic system with an immersed heat exchanger employing the lumped parameter thermal node method and oil temperature and power loss of each key node within the hydraulic system within a full mission profile. Then, a thermal dynamic simulation model based on MATLAB/Simulink is established, and the temperatures at the nodes of different components and the absorptive capacity of the fuel heat sink in the thermal management module are calculated. The simulation results show that the thermal management scheme of the heat exchanger, located in the return oil pipeline of the hydraulic piston pump housing and immersed in the central fuel tank, can dissipate the thermal load of the system. This work is of important significance for temperature analysis and thermal load dissipation of the airliner hydraulic system. Full article
(This article belongs to the Special Issue Design, Modeling and Control of Advanced Mechatronic Systems)
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