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Processes
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Modeling and Optimal Control of Industrial Fault Diagnosis and New...
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Modeling and Optimal Control of Industrial Fault Diagnosis and New Energy Mechanical Systems

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Automation Control Systems".

Deadline for manuscript submissions: closed (20 February 2024) | Viewed by 5168

Special Issue Editors

Dr. Yong Li

E-Mail Website
Guest Editor
College of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou 325035, China
Interests: theory and method of status monitoring and fault diagnosis in industrial systems; design and modeling of electromagnetic components
Dr. Dongji Xuan

E-Mail Website
Guest Editor
College of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou 325035, China
Interests: green energy system
Dr. Taihong Cheng

E-Mail Website
Guest Editor
College of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou 325035, China
Interests: suspension design and control; vibration control; energy harvesting system
Dr. Zhenzhe Li

E-Mail Website
Guest Editor
College of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou 325035, China
Interests: thermal analysis of mechanical systems; multiphysics analysis; optimization methods
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear colleagues,

Energy mechanical systems can be considered multiphysical systems, coupling mechanical components with other multiphysical components, such as those of structural, thermal, electrical, and electromagnetic natures. Many industrial fields, such as vehicle systems, electrical products, industrial automation equipment, aerospace vehicles, and ships, are composed of complex energy mechanical systems. In order to ensure the stable operation of systems or components, it is particularly important to use methods such as model analysis, optimal control, and fault diagnosis in the industrial field. In recent years, with the continuous progress of science and technology, many scholars have proposed some advanced theories and methods in different fields. We also look forward to more scholars applying these new theories and methods to industrial fault diagnosis and new energy mechanical systems.

This Special Issue is titled "Modeling and Optimal Control of Industrial Fault Diagnosis and New Energy Mechanical Systems", aiming to find high-quality papers that focus on the latest model analysis, optimization control, and fault diagnosis methods with which to improve the stable operation of systems or components. Topics include, but are not limited to, the following:

  • Theory and method of status monitoring and fault diagnosis in industrial systems;
  • Design and modeling of multiphysical mechanical systems;
  • Optimal control and intelligent control of multiphysical mechanical systems;
  • Simulation and control technology for new energy vehicles;
  • Designing and modeling of electromechanical drive and transmission components;
  • Other studies that can improve the operational performance of mechanical systems and components.

Dr. Yong Li
Dr. Dongji Xuan
Dr. Taihong Cheng
Dr. Zhenzhe Li
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. Processes 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

  • structural optimization
  • theoretical and experimental analysis
  • status monitoring
  • fault diagnosis
  • optimal control
  • energy mechanical systems

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Published Papers (4 papers)

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Research

23 pages, 8496 KiB  
Article
Optimal Design and Discrete Element Method Model Development of the Acute Angle Hoe Opener for No-Till System
by Zhiwei Wang, Rui Kang, Sugirbay Adilet, Guangrui Hu, Huanbo Yang, Guangyao Liu, Qingyu Chen, Yanwu Jiang, Kaiyuan Zhao and Jun Chen
Processes 2024, 12(4), 711; https://doi.org/10.3390/pr12040711 - 30 Mar 2024
Viewed by 927
Abstract
A specialized hoe opener was engineered for no-till systems to apply substantial amounts of wheat seeds and granular fertilizers, effectively suppressing early stage weeds. This distinctive hoe opener plants wheat seeds within a 120 mm wide horizontal band, positioning granular fertilizers precisely at [...] Read more.
A specialized hoe opener was engineered for no-till systems to apply substantial amounts of wheat seeds and granular fertilizers, effectively suppressing early stage weeds. This distinctive hoe opener plants wheat seeds within a 120 mm wide horizontal band, positioning granular fertilizers precisely at the band’s center, all accomplished in a single pass. Notably, the design excels at covering the fertilizer with soil aggregates, compacting it through a wheat separator, and concurrently depositing wheat seeds from above. Our primary research objectives centered on achieving a consistent seedbed post-fertilizer application and ensuring a uniform distribution of wheat seeds within the horizontal band. The DEM (Discrete Element Method) was exploited to optimize the hoe opener’s parameters. Through extensive simulations and comparisons with experimental outcomes, an optimal wing orifice AB length of 60 mm was identified, effectively covering granular fertilizers with soil aggregates and achieving compaction through the wheat separator. Furthermore, parameters of the wheat seed separator’s hump were fine-tuned using the Box–Behnken algorithm, resulting in an optimal dimension of 40 mm for the top radius (A), 140 degrees for the top angle (B), and 90 mm for the bottom length (C). Full article
(This article belongs to the Special Issue Modeling and Optimal Control of Industrial Fault Diagnosis and New Energy Mechanical Systems)
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15 pages, 6667 KiB  
Article
Design and Simulation of End Effector for Young-Pear-Bagging Robot
by Chao Teng, Zhenmu Chen, Mingge Wu and Yunde Shen
Processes 2024, 12(2), 259; https://doi.org/10.3390/pr12020259 - 25 Jan 2024
Viewed by 1207
Abstract
In order to address the time-consuming and labor-intensive challenges as well as the suboptimal operational quality encountered in the conventional processes of fruit bagging within expansive orchards, an innovative end-of-bagging actuator is proposed, which can be installed on a fruit-production robot. Due to [...] Read more.
In order to address the time-consuming and labor-intensive challenges as well as the suboptimal operational quality encountered in the conventional processes of fruit bagging within expansive orchards, an innovative end-of-bagging actuator is proposed, which can be installed on a fruit-production robot. Due to the excessive power sources required to complete the bagging operation, while also taking into account the quality and cost of the end effector, we have implemented a clutch transmission system to control individual motors, thereby achieving efficient bag-opening and collection actions. Through kinematic analysis of the bagging end effector, the optimal bag opening size is determined to be 40.3372 mm, with a deviation of 0.1428 mm from the design target and an error rate of 0.35%. This ensures the desired bag size for bagging juvenile fruits. Moreover, a dynamic simulation model comprising rigid drive components and a flexible clutch was developed. The simulation results demonstrate the system’s stable performance. However, it is evident that the gear speed falls below that of the flexible clutch, resulting in insufficient bag opening and bag gathering compared to the intended design target. The observed phenomenon is a result of the characteristics exhibited by the flexible clutch. Specifically, the demands for bagging and stretching can be accommodated by modifying the stiffness and geometric configuration of the flexible clutch, alongside the level of operational force. To conclude, the suggested end effector can successfully simulate the implementation of the manual bagging process. By taking into account the quality and cost of the end effector, a clutch drive system was utilized to regulate a single motor, resulting in efficient bag-opening and collection actions. This approach offers a more integrated and efficient solution compared to manual bagging and semi-automatic mechanically assisted bagging methods. Full article
(This article belongs to the Special Issue Modeling and Optimal Control of Industrial Fault Diagnosis and New Energy Mechanical Systems)
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15 pages, 7944 KiB  
Article
Study on the Unsteady Flow Characteristics of a Pump Turbine in Pump Mode
by Fei Zhang, Zhenmu Chen, Shuangqian Han and Baoshan Zhu
Processes 2024, 12(1), 41; https://doi.org/10.3390/pr12010041 - 22 Dec 2023
Cited by 1 | Viewed by 1251
Abstract
Extensive research has been conducted on the performance of pump turbines, particularly focused on understanding the generation mechanism of S-shaped characteristics. However, there has been a lack of research on unsteady flow characteristics in hump characteristics with small guide vane openings. This study [...] Read more.
Extensive research has been conducted on the performance of pump turbines, particularly focused on understanding the generation mechanism of S-shaped characteristics. However, there has been a lack of research on unsteady flow characteristics in hump characteristics with small guide vane openings. This study focuses on the hump characteristics of a pump turbine in pump mode. The unsteady numerical simulation method is used along with experimental testing to examine the internal flow characteristics and induced pressure fluctuations under pump operating conditions. The results indicate that flow separation occurs in the impeller when the flow rate decreases to the valley operating condition, and recirculation flow occurs near the impeller inlet at the partial flow rate. Moreover, the unstable flow on the positive slope exhibits a low-frequency characteristic of 0.15fn. The pressure fluctuation from the hub to shroud areas of the guide vane region diminishes sequentially. Notably, distinct vortex structures emerge at the draft tube cone section under the valley operating condition. These structures extend toward the elbow section of the draft tube as the flow rate decreases. This phenomenon generates low-frequency pressure fluctuation originating from the primary frequency of the vortex and dean vortex on the surface, located at 0.4 D of the draft tube under conditions of low flow rate. Full article
(This article belongs to the Special Issue Modeling and Optimal Control of Industrial Fault Diagnosis and New Energy Mechanical Systems)
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16 pages, 7405 KiB  
Article
Research on Controller of Glass Greenhouse Cleaner Based on PSO-Fuzzy-PID
by Rui Xu, Zhenmu Chen, Mingge Wu and Yunde Shen
Processes 2023, 11(12), 3405; https://doi.org/10.3390/pr11123405 - 11 Dec 2023
Cited by 1 | Viewed by 1063
Abstract
When cleaning the surface of a glass greenhouse, the washing machine often encounters slippery tracks or strong winds, in which case the washing machine is very likely to deviate from the axis of the greenhouse. In order to improve the stability and reliability [...] Read more.
When cleaning the surface of a glass greenhouse, the washing machine often encounters slippery tracks or strong winds, in which case the washing machine is very likely to deviate from the axis of the greenhouse. In order to improve the stability and reliability of the glass greenhouse cleaner under different working conditions, this paper studies the controller of the glass greenhouse cleaner and puts forward a fuzzy PID control scheme optimized by the PSO algorithm. Using Adams and Matlab to jointly simulate the machine model, the results show that the particle swarm fuzzy PID controller has the best control effect and can make the cleaner adaptable to a variety of working conditions. The system overshoot was reduced by up to 35.5%, the response time by up to 3 s, and the difference between left and right wheel speeds by up to 0.086 deg/s. Full article
(This article belongs to the Special Issue Modeling and Optimal Control of Industrial Fault Diagnosis and New Energy Mechanical Systems)
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