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Energies
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Frontiers in Automatic Control in Drives and Power Electronics
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Frontiers in Automatic Control in Drives and Power Electronics

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F: Electrical Engineering".

Deadline for manuscript submissions: closed (21 November 2022) | Viewed by 13840

Special Issue Editors

Dr. Tomasz Tarczewski

E-Mail Website
Guest Editor
Department of Automatics and Measurement Systems, Nicolaus Copernicus University, 87-100 Toruń, Poland
Interests: electrical drives; optimal control; adaptive control; nature-inspired optimization algorithms; estimation techniques; mobile robots;
Special Issues, Collections and Topics in MDPI journals
Dr. Marcin Kaminski

E-Mail Website
Guest Editor
Department of Electrical Machines, Drives and Measurements, Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland
Interests: neural networks; adaptive control; fuzzy logic; optimization of control structures using nature-inspired techniques; hardware implementations (FPGA, DSP, microcontrollers) of algorithms based on artificial intelligence; electrical drives; machine learning; digital image processing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Guest Editors are inviting submissions for a Special Issue of Energies in “Automatic Control in Drives and Power Electronics”. Electrical drives and power electronics converters are commonly used in industrial applications, transportation systems, power generation and transmission, and home appliances. Its performance, effectiveness, and reliability strictly depend on the control algorithm used. This Special Issue aims to provide an opportunity for researchers to present their recent work in the field of automatic control in drives and power electronics. The topics related to novel control strategies, trends, problems, and challenges linked to synthesis and analysis will be presented. Papers in (but not limited to) scopes mentioned below are welcome.

  • Advanced control strategies for electrical drives and power converters
  • Modern optimization methods (including nature inspired algorithms) in identification, tuning, and control
  • Fault tolerant control of electrical machines and power converters
  • Advanced observers and sensorless control
  • Diagnosis, monitoring, and predictive maintenance in drives and power electronics
  • Innovative hardware solutions (e.g. novel drive construction, implementation of algorithms in programmable devices, etc.) and communication protocols in power electronics and drives 

Prof. Dr. Tomasz Tarczewski
Prof. Dr. Marcin Kaminski
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. Energies 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 2600 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

  • electrical drives
  • power converters
  • new control algorithms
  • optimization and estimation
  • diagnosis, monitoring, and maintenance
  • innovative hardware solutions

Published Papers (7 papers)

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Research

17 pages, 5945 KiB  
Article
Classification of Single Current Sensor Failures in Fault-Tolerant Induction Motor Drive Using Neural Network Approach
by Maciej Skowron, Krystian Teler, Michal Adamczyk and Teresa Orlowska-Kowalska
Energies 2022, 15(18), 6646; https://0-doi-org.brum.beds.ac.uk/10.3390/en15186646 - 11 Sep 2022
Cited by 9 | Viewed by 1371
Abstract
In the modern induction motor (IM) drive system, the fault-tolerant control (FTC) solution is becoming more and more popular. This approach significantly increases the security of the system. To choose the best control strategy, fault detection (FD) and fault classification (FC) methods are [...] Read more.
In the modern induction motor (IM) drive system, the fault-tolerant control (FTC) solution is becoming more and more popular. This approach significantly increases the security of the system. To choose the best control strategy, fault detection (FD) and fault classification (FC) methods are required. Current sensors (CS) are one of the measuring devices that can be damaged, which in the case of the drive system with IM precludes the correct operation of vector control structures. Due to the need to ensure current feedback and the operation of flux estimators, it is necessary to immediately compensate for the detected damage and classify its type. In the case of the IM drives, there are individual suggestions regarding methods of classifying the type of CS damage during drive operation. This article proposes the use of the classical multilayer perceptron (MLP) neural network to implement the CS neural fault classifier. The online work of this classifier was coordinated with the active FTC structure, which contained an algorithm for the detection and compensation of failure of one of the two CSs used in the rotor field-oriented control (DRFOC) structure. This article describes this structure and the method of designing the neural fault classifier (NN-FC). The operation of the NN-FC was verified by simulation tests of the drive system with an integrated FTC strategy. These tests showed the high efficiency of the developed fault classifier operating in the post-fault mode after compensating the previously detected CS fault and ensuring uninterrupted operation of the drive system. Full article
(This article belongs to the Special Issue Frontiers in Automatic Control in Drives and Power Electronics)
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22 pages, 6929 KiB  
Article
A Hybrid Adaptive Controller Applied for Oscillating System
by Radoslaw Stanislawski, Jules-Raymond Tapamo and Marcin Kaminski
Energies 2022, 15(17), 6265; https://0-doi-org.brum.beds.ac.uk/10.3390/en15176265 - 28 Aug 2022
Cited by 2 | Viewed by 1385
Abstract
In this paper, a hybrid PI radial basis function neural network (RBFNN) controller is used for a plant with significant disturbances related to the mechanical part of the construction. It is represented through a two-mass system. State variables contain additional components—as a result, [...] Read more.
In this paper, a hybrid PI radial basis function neural network (RBFNN) controller is used for a plant with significant disturbances related to the mechanical part of the construction. It is represented through a two-mass system. State variables contain additional components—as a result, oscillations affect the precision of control. Classical solutions lead to movements of the poles of the whole control structure. However, proper tuning of the controller needs detailed identification of the object. In this work, the neural network is implemented to improve the classical PI controller’s performance and mitigate the errors generated by oscillations of the mechanical variables and parametric uncertainties. The proposed control strategy also guarantees the closed-loop stability of the system. The mathematical background is firstly presented. Afterward, the simulation results are shown. It can be stated that the results are very promising, and a significant improvement in oscillations damping is achieved. Finally, experimental tests are conducted to substantiate the obtained simulation results. For this purpose, the algorithm was implemented in the dSPACE card. Achieved transients confirm the numerical tests. Full article
(This article belongs to the Special Issue Frontiers in Automatic Control in Drives and Power Electronics)
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Graphical abstract

22 pages, 8173 KiB  
Article
Application of Neural Data Processing in Autonomous Model Platform—A Complex Review of Solutions, Design and Implementation
by Mateusz Malarczyk, Jules-Raymond Tapamo and Marcin Kaminski
Energies 2022, 15(13), 4766; https://0-doi-org.brum.beds.ac.uk/10.3390/en15134766 - 29 Jun 2022
Cited by 3 | Viewed by 1447
Abstract
One of the bottlenecks of autonomous systems is to identify and/or design models and tools that are not too resource demanding. This paper presents the concept and design process of a moving platform structure–electric vehicle. The objective is to use artificial intelligence methods [...] Read more.
One of the bottlenecks of autonomous systems is to identify and/or design models and tools that are not too resource demanding. This paper presents the concept and design process of a moving platform structure–electric vehicle. The objective is to use artificial intelligence methods to control the model’s operation in a resource scarce computation environment. Neural approaches are used for data analysis, path planning, speed control and implementation of the vision system for road sign recognition. For this purpose, multilayer perceptron neural networks and deep learning models are used. In addition to the neural algorithms and several applications, the hardware implementation is described. Simulation results of systems are gathered, data gathered from real platform tests are analyzed. Experimental results show that low-cost hardware may be used to develop an effective working platform capable of autonomous operation in defined conditions. Full article
(This article belongs to the Special Issue Frontiers in Automatic Control in Drives and Power Electronics)
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16 pages, 1029 KiB  
Article
Synchronization of Electrical Drives via EtherCAT Fieldbus Communication Modules
by Marcin Paprocki and Krystian Erwiński
Energies 2022, 15(2), 604; https://0-doi-org.brum.beds.ac.uk/10.3390/en15020604 - 15 Jan 2022
Cited by 16 | Viewed by 3546
Abstract
Synchronization between devices (in particular drive systems) is paramount for multi-axis motion control systems used in Computerized Numerical Control (CNC) machines, robots, and specialized technology machines used in many areas of the manufacturing industry. EtherCAT is an Ethernet-based network that is one of [...] Read more.
Synchronization between devices (in particular drive systems) is paramount for multi-axis motion control systems used in Computerized Numerical Control (CNC) machines, robots, and specialized technology machines used in many areas of the manufacturing industry. EtherCAT is an Ethernet-based network that is one of the most popular industrial networks for multi-axis motion control systems. EtherCAT is standardized in the IEC 61158 and IEC 61784 standards. In the article, an EtherCAT communication network for electrical drives is presented. The article focuses on the synchronization in the EtherCAT network consisting of one master device and slave servo drive devices. Special attention is given to synchronization mechanisms in EtherCAT, such as distributed clocks in slave servo drives devices. For this purpose, a laboratory stand was built consisting of two prototype servo drive devices with BLDC motors equipped with EtherCAT communication modules. A description of the working developed EtherCAT communication modules is given. Authors in communication modules ware used an EtherCAT Slave Controller (ESC) chip (AX58100) to implement lower EtherCAT layers. EtherCAT application layer was implemented in software form on a 32-bit microcontroller, based on CANopen over EtherCAT (CoE) CAN in Automation 402 (CiA402) profile. This research’s main contribution was to show the time dependencies regarding synchronization in terms of data flow in the EtherCAT communication stack in slave servo drive devices. The research results showed that the synchronous operation of drives is mainly influenced not by the mechanism of distributed clocks that ensures synchronization in the EtherCAT network but the implementation of the highest layer of the communication stack in slave servo drive devices. Experimental results are presented that prove the modules’ adequacy for use in high-performance motion control systems. Full article
(This article belongs to the Special Issue Frontiers in Automatic Control in Drives and Power Electronics)
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18 pages, 6846 KiB  
Article
State Feedback Speed Control with Periodic Disturbances Attenuation for PMSM Drive
by Łukasz J. Niewiara, Rafał Szczepański, Tomasz Tarczewski and Lech M. Grzesiak
Energies 2022, 15(2), 587; https://0-doi-org.brum.beds.ac.uk/10.3390/en15020587 - 14 Jan 2022
Cited by 10 | Viewed by 1464
Abstract
This paper proposes an auto-tuned constrained state-feedback controller (SFC) to attenuate periodic disturbances present in permanent magnet synchronous (PMSM) motor drives. An online auto-tuning process of SFC has been made using a powerful nature-inspired optimization algorithm—artificial bee colony (ABC)—to achieve high-performance operation of [...] Read more.
This paper proposes an auto-tuned constrained state-feedback controller (SFC) to attenuate periodic disturbances present in permanent magnet synchronous (PMSM) motor drives. An online auto-tuning process of SFC has been made using a powerful nature-inspired optimization algorithm—artificial bee colony (ABC)—to achieve high-performance operation of the drive. A novel performance index is proposed to minimize the impact of pulsating torque and obtain smooth-velocity of the drive. The proposed approach is a practical application of classic control theory with novel engineering-tools for improving the operational quality of a PMSM drive system. The obtained results are compared with a classical cascade control structure (CCS) based on proportional-integral (PI) regulators and disturbance observer-based control (DOBC). A detailed time- and frequency-domain analysis has been conducted in respect to periodic disturbances present in a PMSM drive system. Moreover, the robustness of SFC against parameter variations of inductance and resistance has been tested. Full article
(This article belongs to the Special Issue Frontiers in Automatic Control in Drives and Power Electronics)
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24 pages, 9572 KiB  
Article
Fuzzy Adaptive Type II Controller for Two-Mass System
by Piotr Derugo, Krzysztof Szabat, Tomasz Pajchrowski and Krzysztof Zawirski
Energies 2022, 15(2), 419; https://0-doi-org.brum.beds.ac.uk/10.3390/en15020419 - 06 Jan 2022
Cited by 10 | Viewed by 1766
Abstract
This paper presents original concepts of control systems for an electrical drive with an elastic mechanical coupling between the motor and the driven mechanism. The synthesis procedure of the speed controller uses a proposed quality index (cost function) of system operation ensures the [...] Read more.
This paper presents original concepts of control systems for an electrical drive with an elastic mechanical coupling between the motor and the driven mechanism. The synthesis procedure of the speed controller uses a proposed quality index (cost function) of system operation ensures the minimization of both tracking errors and torsional vibrations. Proper selection of the cost function focusses more on the reduction of torsional vibrations due to their negative influence on the drive’s mechanical coupling vitality. The omission of the plant identification of an adaptive fuzzy controller was proposed. Two types of fuzzy controllers were analyzed, namely with type I and type II fuzzy membership functions. The novelty of the presented approach is in the application of a Petri transition layer in a type II fuzzy controller which reduces the numerical complexity in case of a large number of complicated type II fuzzy sets. The presented simulation and experimental results prove that the best dumping of mechanical vibrations ensures the adaptive fuzzy controller with type II functions and a Petri transition layer. Full article
(This article belongs to the Special Issue Frontiers in Automatic Control in Drives and Power Electronics)
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19 pages, 9633 KiB  
Article
Application of Multilayer Observer for a Drive System with Flexibility
by Karol Wróbel, Kacper Śleszycki, Krzysztof Szabat and Seiichiro Katsura
Energies 2021, 14(24), 8479; https://0-doi-org.brum.beds.ac.uk/10.3390/en14248479 - 15 Dec 2021
Cited by 5 | Viewed by 1975
Abstract
This paper proposes a new estimation algorithm based on the Luenberger observer methodology and multilayer concept. The proposed multi-layer Luenberger observer (MLO) is implemented in the control structure designated for a two-mass system. Two types of aggregation mechanism are evaluated in the paper. [...] Read more.
This paper proposes a new estimation algorithm based on the Luenberger observer methodology and multilayer concept. The proposed multi-layer Luenberger observer (MLO) is implemented in the control structure designated for a two-mass system. Two types of aggregation mechanism are evaluated in the paper. The MLO ensures better estimation quality of the mechanical state variables: motor speed, shaft torque, load speed and load torque, as compared to the classical single observer. The more accurate estimated states, the more precise closed-loop control is guaranteed. MLO is designated for the system where initial conditions of the plant are not known or the state variables can change rapidly (load torque in the considered case). The estimation algorithm and control strategy is evaluated through simulation and experimental tests. The obtained results confirm efficiency of the proposed MLO. Full article
(This article belongs to the Special Issue Frontiers in Automatic Control in Drives and Power Electronics)
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