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Modern Control Techniques for Electrical Drives

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".

Deadline for manuscript submissions: closed (20 October 2023) | Viewed by 3544

Special Issue Editors


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Guest Editor
Laboratory of Power and Control Systems (LSPyC), Facultad de Ingeniería, Universidad Nacional de Asunción, Luque 2060, Paraguay
Interests: applications of advanced control to real-world problems; applying finite control set model predictive control and nonlinear control to power electronic converters; renewable energy conversion systems; electric motor drives; robotic systems (especially unmanned aerial vehicles)
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Special Issue Information

Dear Colleagues,

For decades, the world has been facing a transformation of energy use, moving from fossil-based sources to several new ones primarily based on renewables (e.g., wind or solar). The electrification of transportation has a critical role in the electrical energy sector, where electric/hybrid electric vehicles (EV/HEV) have been introduced to mitigate air pollution and climate change aiming for a more suitable environment.

In order to fulfil the standard for EV/HEV, it is inevitable to apply high-performance control techniques for the electric drives employed in the vehicles. Therefore, this Special Issue aims to allow the research community to contribute to the field control of electric drives by proposing sophisticated control approaches. Major topics include, but are not limited to, the following:

  • Advancements in nonlinear control (e.g., sliding-mode or finite-control-set model predictive control) of electric drives;
  • Advancements in control of power electronics for integrating distributed energy resources;
  • Design, analysis and applications of modern control techniques for electrical machines;
  • Optimization algorithms;
  • Fault detection and fault-tolerant control of electric drives;
  • Control power electronic converter topologies for motor drives.

We look forward to receiving your contributions.

Prof. Dr. Jorge Rodas
Prof. Dr. Jose Rodriguez
Guest Editors

Manuscript Submission Information

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Keywords

  • electric motor drives
  • predictive control
  • sliding mode control
  • fault-tolerant control
  • modulation techniques
  • electric vehicles
  • power electronics

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Published Papers (1 paper)

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Research

23 pages, 11615 KiB  
Article
Fault-Tolerant Control Strategy for Hall Sensors in BLDC Motor Drive for Electric Vehicle Applications
by Mariem Ahmed Baba, Mohamed Naoui and Mohamed Cherkaoui
Sustainability 2023, 15(13), 10430; https://doi.org/10.3390/su151310430 - 2 Jul 2023
Cited by 9 | Viewed by 2842
Abstract
The adoption of the brushless DC motor in the electric drive vehicle industry continues to grow due to its robustness and ability to meet torque–speed requirements. This work presents the implementation of a fault-tolerant control (FTC) for a BLDC motor designed for electric [...] Read more.
The adoption of the brushless DC motor in the electric drive vehicle industry continues to grow due to its robustness and ability to meet torque–speed requirements. This work presents the implementation of a fault-tolerant control (FTC) for a BLDC motor designed for electric vehicles. This paper focuses on studying the defect in the Ha sensor and its signal reconstruction, assuming possible cases, but the same principle is applied to the other two sensors (Hb and Hc ). In this case, the fault diagnosis allows for the correction and reconstruction of the signal in order to compel the system to work despite the presence of a fault. Indeed, several robust control systems are used within the work to regulate the speed of the motor properly, such as control via fuzzy logic and control via a neural network. This paper presents three BLDC control configurations for EVs, PID, fuzzy logic (FL), and an artificial neural network (ANN), discusses the pros and cons, and develops corresponding mathematical models to enhance a fault-tolerant control strategy which is analyzed and studied using MATLAB-based simulations (by discussing the two cases, the steady state and the transient state), allowing for a novel design based on the analytical models developed. The results obtained from the simulation of this system improved the speed controlled by the neural network compared to the fuzzy logic controller. At the same time, the sensor failure had no effect on the system’s operation due to the efficiency of the FTC control. Full article
(This article belongs to the Special Issue Modern Control Techniques for Electrical Drives)
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