Advanced Control Techniques for Power Converter and Drives

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

Deadline for manuscript submissions: 15 January 2025 | Viewed by 2585

Special Issue Editors


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Guest Editor
Department of Engineering, University of Palermo, 90128 Palermo, Italy
Interests: photovoltaic; material characterization; electronic device characterization; power electronics
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Guest Editor
Institute for High Performance Computing and Networking, National Research Council, 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
Dr. Gianpaolo Vitale
Guest Editors

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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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Published Papers (2 papers)

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Research

18 pages, 5231 KiB  
Article
Robust PI-PD Controller Design: Industrial Simulation Case Studies and a Real-Time Application
by Fadi Alyoussef, Ibrahim Kaya and Ahmad Akrad
Electronics 2024, 13(17), 3362; https://doi.org/10.3390/electronics13173362 - 24 Aug 2024
Viewed by 1011
Abstract
PI-PD controllers have superior performance compared to traditional PID controllers, especially for controlling unstable and integrating industrial processes with time delays. However, computing the four tuning parameters of this type of controller is not an easy task. Recently, there has been significant interest [...] Read more.
PI-PD controllers have superior performance compared to traditional PID controllers, especially for controlling unstable and integrating industrial processes with time delays. However, computing the four tuning parameters of this type of controller is not an easy task. Recently, there has been significant interest in determining the tuning rules for PI-PD controllers that utilize the stability region. Currently, most tuning rules for the PI-PD controller are presented graphically, which can be time-consuming and act as a barrier to their industrial application. There is a lack of analytical tuning guidelines in the literature to address this shortfall. However, the existing analytical tuning guidelines do not consider a rigorous design approach. This work proposes new robust analytical tuning criteria based on predefined gain and phase margin bounds, as well as the centroid of the stability region. The proposed method has been tested using various simulation studies related to a DC–DC buck converter, a DC motor, and a heat exchanger. The results indicate that the proposed tuning rules exhibit strong performance against parameter uncertainty with minimal overshoots. Furthermore, the suggested technique for simultaneous control of yaw and pitch angles has been tested in a real-time application using the twin rotor multi-input multi-output system (TRMS). Real-time results indicate that, compared to other methods under investigation, the suggested approach provides nearly minimal overshoots. Full article
(This article belongs to the Special Issue Advanced Control Techniques for Power Converter and Drives)
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14 pages, 8353 KiB  
Article
Double-Loop Controller Design of a Single-Phase 3-Level Power Factor Correction Converter
by Jun-Hyuk Han and IL-Song Kim
Electronics 2024, 13(14), 2863; https://doi.org/10.3390/electronics13142863 - 20 Jul 2024
Viewed by 874
Abstract
This paper presents a study on the double-loop controller design technique for a single-phase power factor correction (PFC) three-level (TL) boost converter. Designing a double-loop controller using conventional methods is challenging due to the 120 Hz voltage ripple in the output voltage. This [...] Read more.
This paper presents a study on the double-loop controller design technique for a single-phase power factor correction (PFC) three-level (TL) boost converter. Designing a double-loop controller using conventional methods is challenging due to the 120 Hz voltage ripple in the output voltage. This study proposes new double-loop control design methods using a band-stop filter and MATLAB SISOTOOL, detailed in a step-by-step sequence. A band-stop filter with a 120 Hz stop band is applied to the double-loop controller design. Modeling based on the state-space equation, applicable to the full duty range, is constructed to obtain the transfer function. The double-loop controller structure is then designed, and optimal gains that satisfy the design requirements are obtained through automatic tuning using the MATLAB SISOTOOL library. The simulation results demonstrate the performance of the proposed method, which is further verified by experimental results. Full article
(This article belongs to the Special Issue Advanced Control Techniques for Power Converter and Drives)
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