Advanced Control for Electric Drives: Current Challenges and Future Perspectives

Merabet, Adel

doi:10.3390/electronics9111762

Cited by 8 publications

(6 citation statements)

References 26 publications

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“…The speed controller is based on a PI regulator, shown below. The output of this regulator is a torque set point applied to the DTC controller block [3][4][5][6][7][8][9][10][11][12][13][14][15].…”

Section: Speed Controllermentioning

confidence: 99%

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Simulations of the operation of the fast light innovative regional train from “Serbian Railways” in traction and electric braking mode

Gavrilovic,

Baboshin

2023

Mech. Eng. Advan.

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In the paper, the MATLAB-Simulink model of simulation of operation of the fast light innovative regional train from “Serbian Railways” in traction and braking mode is exposed where changes are observed: stator currents of three-phase traction motors, traction electric motor speeds and electric multiple unit, electromagnetic torque on the rotor shaft of the traction electric motor and diirect current bus voltage. The model allowed review of the listed parameters for: different allowed values of contact network voltage and total voltage distortion at the place of connection of the electric multiple unit to the contact network, different mechanical loads of electric multiple unit and traction electric motor and different train speeds and rotation of traction electric motors. Appropriate conclusions were made through the analysis of the simulation results obtained.

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Section: Speed Controllermentioning

confidence: 99%

“…The high-level block diagram as well as the Simulink model of direct torque and flux control of the drive induction motor are shown in Figures 11 and 12 [3][4][5][6][7][8][9][10][11][12][13][14][15].…”

Section: Dtc Controllermentioning

confidence: 99%

Simulations of the operation of the fast light innovative regional train from “Serbian Railways” in traction and electric braking mode

Gavrilovic,

Baboshin

2023

Mech. Eng. Advan.

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“…The studies devoted to the development of control technologies for electric drive systems and their application are also of interest [19,20]. Blagodarov et al [20] have developed recommendations for developers of electric drive systems based on artificial intelligence.…”

Section: Introductionmentioning

confidence: 99%

Stability Assessment of an Ore Mill Electric Drive Using Machine Learning

Baghdasaryan,

Hovhannisyn

2024

HighTech. Innov. J.

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The relevance of the study is due to the need to improve electric drive systems operated in harsh conditions. The goal of the study is to create a model for assessing the state of stability of the electric drive of an ore mill using machine learning capabilities, which will provide high performance and the ability to work consistently in different systems. Various sustainability assessment models have been developed based on 6 machine learning algorithms. The study and comparison of models built using artificial neural networks (ANN) of different architectures was carried out using various learning methods. The expediency of using the Tree and ANN algorithms to develop a model for assessing electric drive stability is substantiated. The novelty of the results obtained lies in the fact that the model has high accuracy, high speed, and the ability to detect instability in uncertain operating modes of the electric motor of an electric drive, as well as the possibility of coordinated operation with various systems. The practical value is that the model allows, at an intellectual level, to provide effective control and fault diagnosis of complex electric drive systems, which cannot be achieved using the known methods. Doi: 10.28991/HIJ-2024-05-02-01 Full Text: PDF

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“…Various scientific papers have appeared in the literature for many years, presenting examples of the use of fuzzy logic in regulating the speed of electric drives [1,2]. The paper [3] addresses a variety of issues related to advances in control techniques for electric drives in emerging fields such as electric vehicles, UAVs, trains, and motion control. Fuzzy logic is an instrument of artificial intelligence which translates human reasoning into numerical calculations [4,5].…”

Section: Introductionmentioning

confidence: 99%

Stability Analysis of Systems with Fuzzy PI Controllers Applied to Electric Drives

Voloşencu

2021

Mathematics

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This paper analyzes the stability of fuzzy control systems with applications for electric drives. Ensuring the stability of these systems is a necessity in practice. The purpose of the study is the analysis of the dynamic characteristics of the speed control systems of electric drives based on fuzzy PI controllers in the context of performing stability analyses, both internal and input–output, finding solutions to stabilize these systems and provide guidance on fuzzy regulator design. The main methods of treatment applied are as follows: framing the control system in the theory of stability of multivariable non-linear systems, application of Lyapunov’s theory, performing an input–output stability analysis, and verification of the stability domain. The article presents the conditions for correcting the fuzzy controller to ensure internal and external stability, determines the limits of the stability sector, and gives indications for choosing the parameters of the controller. The considerations presented can be applied to various structures for regulating the speed of electric drives which use various PI fuzzy controllers.

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Advanced Control for Electric Drives: Current Challenges and Future Perspectives

Cited by 8 publications

References 26 publications

Simulations of the operation of the fast light innovative regional train from “Serbian Railways” in traction and electric braking mode

Simulations of the operation of the fast light innovative regional train from “Serbian Railways” in traction and electric braking mode

Stability Assessment of an Ore Mill Electric Drive Using Machine Learning

Stability Analysis of Systems with Fuzzy PI Controllers Applied to Electric Drives

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