Hybrid Current Controller for Permanent-Magnet Synchronous Motors Using Robust Switching Techniques

Al-Kaf, Hasan Ali Gamal; Hakami, Samer Saleh; Lee, Kyo-Beum

doi:10.1109/tpel.2022.3223941

Cited by 19 publications

(4 citation statements)

References 36 publications

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“…In this approach, neural models will be used in parallel to classical solutions (i.e., PI controller, predictive controller, and state feedback controller). According to this assumption, the system works properly in the presence of disturbances or combines the advantages of different control techniques, as shown in [64][65][66]. Besides compensation and control signal shifting, the output values of the neural networks can be directly applied as gains in classical controllers.…”

Section: Neural Controllersmentioning

confidence: 99%

Neural Network Applications in Electrical Drives—Trends in Control, Estimation, Diagnostics, and Construction

Kaminski

Tarczewski

2023

Energies

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Currently, applications of the algorithms based on artificial intelligence (AI) principles can be observed in various fields. This can be also noticed in the wide area of electrical drives. Consideration has been limited to neural networks; however, the tasks for the models can be defined as follows: control, state variable estimation, and diagnostics. In the subsequent sections of this paper, electrical machines, as well as power electronic devices, are assumed as the main objects. This paper describes the basics, issues, and possibilities related to the used tools and explains the growing popularity of neural network applications in automatic systems with electrical drives. The paper begins with the overall considerations; following that, the content proceeds with the details, and two specific examples are shown. The first example deals with a neural network-based speed controller tested in a structure with a synchronous reluctance motor. Then, the implementation of recurrent neural networks as state variable estimators is analyzed. The achieved results present a precise estimation of the load speed and the shaft torque signals from a two-mass system. All descriptions in the article are considered in the context of the trends and perspectives in modern algorithm applications for electrical drives.

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Section: Neural Controllersmentioning

confidence: 99%

Neural Network Applications in Electrical Drives—Trends in Control, Estimation, Diagnostics, and Construction

Kaminski

Tarczewski

2023

Energies

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“…For example, model predictive control can have a fast closed-loop dynamic performance, but FOC using a linear PI controller has a good steady-state performance. Depending on the deviation of the state variables from the reference signals, the dual-stage controllers switch between the algorithms [61].…”

Section: Torque and Flux Controllermentioning

confidence: 99%

“…However, they can be useful approaches, for example, when the drive utilizes dual-stage controllers. Switching between controllers is a challenging task that causes undesired bumps and oscillations [61]. An HC approach is utilized in [127] to commutate between model predictive control and a linear PI controller to control a flying capacitor VSI.…”

Section: Hysteresis Controlmentioning

confidence: 99%

“…An HC approach is utilized in [127] to commutate between model predictive control and a linear PI controller to control a flying capacitor VSI. An average-current ripple-based HC scheme is proposed, along with an artificial neural network-based method, in [61] for PMSM drive systems. The proposed schemes can commutate effectively between model predictive control and FOC using PI controllers to obtain a high-performance drive system.…”

Section: Hysteresis Controlmentioning

confidence: 99%

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Recent Achievements in the Control of Interior Permanent-Magnet Synchronous Machine Drives: A Comprehensive Overview of the State of the Art

Stumpf,

Tóth-Katona

2023

Energies

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Interior permanent-magnet synchronous machines (IPMSMs) are widely used as traction motors in electric drive-trains because of their high torque-per-ampere characteristics and potential for wide field-weakening operations to expand the constant-power range. This paper offers a categorization and a comprehensive overview of the control techniques applied to IPMSM drivesin addition to presenting the necessary theoretical background. The basic concept, features and limitations, as well as the latest developments of the strategies, are summarized in the paper. This overview helps to lay the theoretical basis as well as to clarify the opportunities, challenges and future trends for controlling IPMSM drives for traction applications.

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SVPWM-Modulated PMSM Drive Speed Torque Control Using Fractional Order PI

Qureshi,

Sharma

2024

Advances in Intelligent Systems and Computing

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Hybrid Current Controller for Permanent-Magnet Synchronous Motors Using Robust Switching Techniques

Cited by 19 publications

References 36 publications

Neural Network Applications in Electrical Drives—Trends in Control, Estimation, Diagnostics, and Construction

Neural Network Applications in Electrical Drives—Trends in Control, Estimation, Diagnostics, and Construction

Recent Achievements in the Control of Interior Permanent-Magnet Synchronous Machine Drives: A Comprehensive Overview of the State of the Art

SVPWM-Modulated PMSM Drive Speed Torque Control Using Fractional Order PI

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