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Electronics
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State-of-the-Art Research in Systems and Control Engineering
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State-of-the-Art Research in Systems and Control Engineering

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Systems & Control Engineering".

Deadline for manuscript submissions: 15 May 2024 | Viewed by 2609

Special Issue Editors

Prof. Dr. Shuncong Zhong

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Guest Editor
School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350116, China
Interests: optics & terahertz; diagnosis; structural health monitoring; NDT & E
Prof. Dr. Len Gelman

E-Mail Website
Guest Editor
School of Computing and Engineering, Department of Engineering and Technology, University of Huddersfield, Queensgate, Huddersfield HD1 3DH, UK
Interests: digital signal processing; structural health monitoring; condition monitoring; artificial intelligence; vibration analysis; motor current signature analysis; adaptation of diagnosis systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Given the pivotal role of systems and control engineering in addressing the complexities of modern technological systems, we introduce this Special Issue ‘State-of-the-Art Research in Systems and Control Engineering,’ which is exclusively focused on publishing papers that address the relevant advancements, challenges and solutions while designing and controlling intricate systems in the domain of electrical and electronic engineering.  

Potential topics include, but are not limited to, the following:

  • Modeling and Control of Electrical Systems: power grids, renewable energy systems, electric vehicles, and smart grids.
  • Intelligent Control Systems: integration of artificial intelligence, machine learning, and data-driven methods in control systems engineering
  • Networked Control Systems: distributed control, cooperative control, sensor networks, and wireless communication.
  • Robust Control and Fault Diagnosis: adaptive control, predictive control, fault detection, fault-tolerant control, and resilient control.
  • Emerging Technologies and Applications: Internet of Things (IoTs), cyber-physical systems, autonomous systems, smart homes, intelligent transportation systems, and industrial automation.

Prof. Dr. Shuncong Zhong
Prof. Dr. Len Gelman
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. Electronics 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

  • modeling
  • sensing
  • control systems
  • robust control
  • fault diagnosis

Published Papers (3 papers)

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Research

15 pages, 6550 KiB  
Article
FI-NPI: Exploring Optimal Control in Parallel Platform Systems
by Ruiyang Wang, Qiuxiang Gu, Siyu Lu, Jiawei Tian, Zhengtong Yin, Lirong Yin and Wenfeng Zheng
Electronics 2024, 13(7), 1168; https://doi.org/10.3390/electronics13071168 - 22 Mar 2024
Viewed by 421
Abstract
Typically, the current and speed loop closure of servo motor of the parallel platform is accomplished with incremental PI regulation. The control method has strong robustness, but the parameter tuning process is cumbersome, and it is difficult to achieve the optimal control state. [...] Read more.
Typically, the current and speed loop closure of servo motor of the parallel platform is accomplished with incremental PI regulation. The control method has strong robustness, but the parameter tuning process is cumbersome, and it is difficult to achieve the optimal control state. In order to further optimize the performance, this paper proposes a double-loop control structure based on fuzzy integral and neuron proportional integral (FI-NPI). The structure makes full use of the control advantages of the fuzzy controller and integrator to improve the performance of speed closed-loop control. And through the feedforward branch, the speed error is used as the teacher signal for neuron supervised learning, which improves the effect of current closed-loop control. Through comparative simulation experiments, this paper verifies that the FI-NPI controller has a faster dynamic response speed than the traditional PI controller. Finally, in this paper, the FI-NPI controller is implemented in C language in the servo-driven lower computer, and the speed closed-loop test of the BLDC motor is carried out. The experimental results show that the FI-NPI double-loop controller is better than the traditional double-PI controller in performance indicators such as convergence rate and RMSE, which confirms that the FI-NPI double-loop controller is more suitable for BLDC servo control. Full article
(This article belongs to the Special Issue State-of-the-Art Research in Systems and Control Engineering)
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19 pages, 4169 KiB  
Article
Compensation of Current Sensor Faults in Vector-Controlled Induction Motor Drive Using Extended Kalman Filters
by Teresa Orlowska-Kowalska, Magdalena Miniach and Michal Adamczyk
Electronics 2024, 13(3), 641; https://doi.org/10.3390/electronics13030641 - 03 Feb 2024
Viewed by 669
Abstract
In electric drive systems, one of the most common faults is related to measurement equipment, including current sensors (CSs). As information about the stator current is crucial to ensure precise control of AC drives, such a fault significantly affects the quality and security [...] Read more.
In electric drive systems, one of the most common faults is related to measurement equipment, including current sensors (CSs). As information about the stator current is crucial to ensure precise control of AC drives, such a fault significantly affects the quality and security of the entire system. For this reason, a modified extended Kalman filter (EKF) has been presented in this paper as an algorithmic solution to restore stator current in the event of CS failure. In order to minimize the impact of rotor and stator resistance variations on the quality of the estimation, the proposed model includes an estimation of the general coefficient of their changes. In contrast to solutions known in the literature, the presented model considers changes in both resistances in the form of a single coefficient. This approach allows us to maintain a low order of the estimator (fifth) and thus minimize the tendency to system instability and decrease computation burden. Extensive simulation tests have shown a significant improvement in the accuracy of stator current estimation under both motor and regenerating modes, a wide speed range (1–100%), and changes in motor parameters. Full article
(This article belongs to the Special Issue State-of-the-Art Research in Systems and Control Engineering)
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21 pages, 2850 KiB  
Article
Design, Implementation, and Control of a Wheel-Based Inverted Pendulum
by Dominik Zaborniak, Krzysztof Patan and Marcin Witczak
Electronics 2024, 13(3), 514; https://doi.org/10.3390/electronics13030514 - 26 Jan 2024
Cited by 1 | Viewed by 1215
Abstract
Control of an inverted pendulum is a classical example of the stabilisation problem pertaining to systems that are unstable by nature. The reaction wheel and the motor act as actuators, generating the torque needed to stabilise the system and counteract inevitable disturbances. This [...] Read more.
Control of an inverted pendulum is a classical example of the stabilisation problem pertaining to systems that are unstable by nature. The reaction wheel and the motor act as actuators, generating the torque needed to stabilise the system and counteract inevitable disturbances. This paper begins by describing the design and physical implementation of a wheel-based inverted pendulum. Subsequently, the process of designing and testing the proportional–integral–derivative (PID) and unknown input Kalman-filter-based linear quadratic regulator (LQR) controllers is performed. In particular, the design and pre-validation were carried out in the Matlab/Simulink environment. The final validation step was realised using a constructed physical pendulum, with a digital controller implemented using the STM32 board. Finally, a set of various physical disturbances were introduced to the system to show the high reliability and superiority of the proposed Kalman-filter-based LQR strategy. Full article
(This article belongs to the Special Issue State-of-the-Art Research in Systems and Control Engineering)
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