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Advanced Control Techniques for Power Converter and Drives, 2nd Edition
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Advanced Control Techniques for Power Converter and Drives, 2nd Edition

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".

Deadline for manuscript submissions: 15 April 2026 | Viewed by 1677

Special Issue Editors

Dr. Daniele Scirè

E-Mail Website
Guest Editor
Department of Engineering, University of Palermo, 90128 Palermo, Italy
Interests: photovoltaic; material characterization; electronic device characterization; power electronics
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Gianpaolo Vitale

E-Mail Website
Guest Editor
ICAR Institute for High Performance Computing and Networking, National Research Council of Italy, Via Ugo La Malfa, 153, 90146 Palermo, Italy
Interests: power electronics; renewable energy sources; electromagnetic compatibility; electric vehicles; storage systems; artificial intelligence applications
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent years, the field of power electronics and electric drives has witnessed significant advancements propelled by the integration of cutting-edge control methodologies that encompass predictive control, adaptive control, artificial-intelligence-based strategies, and more. These techniques possess the ability to harness the complexities of power converters and drives, transforming them into highly efficient and agile components of modern engineering. Power converters and electric drives play a pivotal role in modern industrial and consumer landscapes, encompassing a broad spectrum of applications such as motor drives, renewable energy systems, electric vehicles, and industrial automation. The intrinsic challenges of enhancing efficiency, maintaining stability, and accommodating diverse operational conditions within these systems have driven researchers and practitioners to explore advanced control techniques. At this juncture, MPC emerges as a compelling solution, offering the capability to predict system behavior over a finite time horizon and optimize control inputs to achieve desired performance objectives.

This Special Issue aims to showcase the latest advancements and research findings in the  domain of advanced control techniques for enhancing the performance, efficiency, and robustness of power converters and electric drives in various applications.

This Special Issue will cover a wide range of topics, including but not limited to:

  1. Control Algorithms: The Special Issue will delve into various advanced control algorithms, such as predictive control, adaptive control, fuzzy logic control, and neural-network-based control. These techniques are designed to address complex control challenges and improve system behavior.
  2. Dynamic Modeling and Identification: Researchers can present approaches for accurate dynamic modeling and system identification, which are crucial for the successful implementation of advanced control techniques. These models facilitate precise control calculations and optimization.
  3. Optimization Objectives: The Special Issue will highlight optimization objectives such as energy efficiency, improved transient response, reduced harmonic distortion, and enhanced stability. These objectives drive the development of advanced control strategies tailored to specific applications.
  4. Robustness and Fault Tolerance: Advanced control techniques often incorporate robustness and fault tolerance mechanisms to ensure system stability and reliability in the presence of uncertainties and faults.
  5. Real-Time Implementation: Practical considerations for real-time implementation of advanced control techniques will be addressed, including hardware limitations, computational efficiency, and control performance in real-world scenarios.
  6. Integration of Renewable Energy: With the increasing integration of renewable energy sources, the Special Issue will explore how advanced control techniques can optimize power converters and drives to accommodate the dynamic nature of renewable energy inputs.
  7. Applications: The Special Issue will cover a wide range of applications, including motor drives, renewable energy systems, electric vehicles, industrial automation, and more, demonstrating how advanced control techniques can be tailored to specific application requirements.
  8. Hybrid Control Approaches: The Special Issue may also explore hybrid control approaches that combine multiple advanced control techniques to leverage their complementary strengths.

Dr. Daniele Scirè
Prof. Dr. Gianpaolo Vitale
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 250 words) can be sent to the Editorial Office for assessment.

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

  • advanced control techniques
  • power converters
  • electric drives
  • dynamic modeling
  • system identification
  • optimization
  • fault tolerance
  • real-time implementation
  • renewable energy integration
  • industrial automation

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Related Special Issue

Published Papers (4 papers)

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Research

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15 pages, 1043 KB  
Article
Performance Evaluation of a Flexible Power Point Tracking Strategy for Extending the Operational Lifetime of Solar Battery Banks
by Mario Orlando Vicencio Soto and Hossein Dehghani Tafti
Electronics 2026, 15(3), 622; https://doi.org/10.3390/electronics15030622 - 1 Feb 2026
Viewed by 124
Abstract
Standalone photovoltaic systems play an important role in providing reliable renewable energy in remote areas. These systems depend heavily on battery energy storage, especially lithium iron phosphate batteries, which are known for their safety and long cycle life. However, battery degradation remains a [...] Read more.
Standalone photovoltaic systems play an important role in providing reliable renewable energy in remote areas. These systems depend heavily on battery energy storage, especially lithium iron phosphate batteries, which are known for their safety and long cycle life. However, battery degradation remains a major challenge, as high charging currents, temperature variations, and wide state-of-charge fluctuations introduce electro-thermal stress that reduces the useful lifetime of the storage system. To address this issue, this paper presents a Flexible Power Point Tracking (FPPT) strategy supported by a fuzzy-logic-based controller. In this context, battery stress refers to the combined electrochemical and thermal stress induced by high charging currents, elevated operating temperatures, and large state-of-charge (SOC) excursions, which are known to accelerate ageing mechanisms and capacity fade. Based on a review of the existing literature, most FPPT and lifetime-oriented control studies have focused on lithium-ion batteries such as NMC or LCO chemistries, while limited attention has been given to lithium iron phosphate (LiFePO4) batteries. The goal is to limit battery stress by reducing current peaks, mitigating temperature rise, and smoothing state-of-charge variations, thereby improving battery lifetime without compromising the stability of the standalone PV system. A complete PV–battery model is developed in PLECS and tested using one-year irradiance, temperature, and load data from Perth, Australia. The results show that the FPPT–Fuzzy controller reduces current peaks, stabilises the state of charge, and lowers the thermal impact on the battery when compared with traditional MPPT. As a result, overall degradation decreases and the battery lifetime is extended by approximately 7%. These findings demonstrate that FPPT is a promising method for improving the long-term performance of renewable energy systems based on lithium iron phosphate battery storage. Full article
(This article belongs to the Special Issue Advanced Control Techniques for Power Converter and Drives, 2nd Edition)
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19 pages, 3038 KB  
Article
Enhancement of Fault Ride-Through Capability in Wind Turbine Based on a Permanent Magnet Synchronous Generator Using Machine Learning
by Altan Gencer
Electronics 2026, 15(1), 50; https://doi.org/10.3390/electronics15010050 - 23 Dec 2025
Viewed by 294
Abstract
All grid faults can cause significant problems within the power grid, including disconnection or malfunctions of wind energy conversion systems (WECSs) connected to the power grid. This study proposes a comparative analysis of the fault ride-through capability of a WECS-based permanent magnet synchronous [...] Read more.
All grid faults can cause significant problems within the power grid, including disconnection or malfunctions of wind energy conversion systems (WECSs) connected to the power grid. This study proposes a comparative analysis of the fault ride-through capability of a WECS-based permanent magnet synchronous generator (PMSG) system. To overcome these issues, active crowbar and capacitive bridge fault current limiter-based machine learning algorithm protection methods are implemented within the WECS system, both separately and in a hybrid. The regression approach is applied for the machine-side converter (MSC) and the grid side converter (GSC) controllers, which involve numerical data. The classification method is employed for protection system controllers, which work with data in distinct classes. These approaches are trained on historical data to predict the optimal control characteristics of the wind turbine system in real time, taking into account both fault and normal operating conditions. The neural network trilayered model has the lowest root mean squared error and mean squared error values, and it has the highest R-squared values. Therefore, the neural network trilayered model can accurately model the nonlinear relationships between its variables and demonstrates the best performance. The neural network trilayered model is selected for the MSC control system in this study. On the other hand, support vector machine regression is selected for the GSC controller due to its superior results. The simulation results demonstrate that the proposed machine learning algorithm performance for WECS based on a PMSG is robustly utilized under different operating conditions during all grid faults. Full article
(This article belongs to the Special Issue Advanced Control Techniques for Power Converter and Drives, 2nd Edition)
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18 pages, 3587 KB  
Article
Research and Analysis of an LLCL-Type Active Power Filter with Control Delay Compensation Mechanism
by Tzu-Chieh Chou, Pin-Sheng Lee, Chi-Yuan Chuang and Chun-Wei Huang
Electronics 2025, 14(20), 4028; https://doi.org/10.3390/electronics14204028 - 14 Oct 2025
Viewed by 526
Abstract
This paper presents a control delay compensation method for an LLCL-type active power filter (APF), aimed at improving performance in digital control systems. The proposed strategy is directly integrated into the inner-loop current controller, requiring no additional compensation modules, predictor structures, or capacitor [...] Read more.
This paper presents a control delay compensation method for an LLCL-type active power filter (APF), aimed at improving performance in digital control systems. The proposed strategy is directly integrated into the inner-loop current controller, requiring no additional compensation modules, predictor structures, or capacitor current feedback, which simplifies the control structure and increases flexibility. The method uses real-time internal state responses of the controller to actively compensate for the phase lag caused by digital control delay, effectively maintaining current control accuracy and overall system dynamic stability. Simulation studies based on a 5.5 kW APF system are conducted to verify the effectiveness of the approach. The results show improved current tracking accuracy, stable dynamic behavior under various load conditions. The simulation-based results indicate the potential of the proposed method for improving control accuracy and stability in digitally controlled APF systems. Moreover, very few studies have addressed control delay compensation specifically for LLCL-based APF systems, making this work a valuable contribution to the field. Full article
(This article belongs to the Special Issue Advanced Control Techniques for Power Converter and Drives, 2nd Edition)
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Review

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40 pages, 3330 KB  
Review
EMC-Friendly Gate Driver Design in GaN-Based DC-DC Converters for Automotive Electronics: A Review
by Xinyu Wu, Li Zhang, Haitao You, Shizeng Zhang, Dimitar Nikolov and Qiang Cui
Electronics 2026, 15(2), 283; https://doi.org/10.3390/electronics15020283 - 8 Jan 2026
Viewed by 469
Abstract
The imperative for EMC-optimized gate drivers in Gallium Nitride (GaN)-based automotive DC-DC converters stems from the stringent CISPR 25 standards and GaN’s intrinsic high-speed switching characteristics, which paradoxically exacerbate electromagnetic interference (EMI). This review distinguishes itself by proposing a novel frequency-domain classification framework [...] Read more.
The imperative for EMC-optimized gate drivers in Gallium Nitride (GaN)-based automotive DC-DC converters stems from the stringent CISPR 25 standards and GaN’s intrinsic high-speed switching characteristics, which paradoxically exacerbate electromagnetic interference (EMI). This review distinguishes itself by proposing a novel frequency-domain classification framework (Zone I: <50 MHz for conducted harmonics; Zone II: >50 MHz for switching noise and ringing), which systematically organizes and assesses gate driving techniques against the triad of fundamental GaN EMC challenges: pronounced capacitance nonlinearity, low threshold voltage, and extreme parasitic sensitivity. Unlike prior surveys that primarily catalog techniques, the analysis elevates the gate driver from a simple switch interface to the central “electromagnetic actuator” of the power stage, explicitly elucidating its pivotal role in mediating the critical trade-offs among switching speed, loss, and EMC performance. A comprehensive evaluation and comparison of advanced techniques—from spread-spectrum modulation for Zone I to adaptive current shaping and resonant topologies for Zone II—are provided, alongside an analysis of their design trade-offs. Furthermore, this review presents a first-of-its-kind, phased implementation roadmap towards holistic EMC compliance, integrating intelligent hybrid control, heterogeneous integration, and system-level co-design. This review bridges the gap between device physics and system engineering, offering structured design methodologies and a clear future direction for achieving electromagnetic integrity in next-generation automotive power electronics. Full article
(This article belongs to the Special Issue Advanced Control Techniques for Power Converter and Drives, 2nd Edition)
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