Damping of torsional vibrations in electric drive with AC motor

Zawarczyński, Ł.; Stefański, T.

doi:10.1109/iiphdw.2018.8388329

2018 International Interdisciplinary PhD Workshop (IIPhDW) 2018

DOI: 10.1109/iiphdw.2018.8388329

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Damping of torsional vibrations in electric drive with AC motor

Ł. Zawarczyński

T. Stefański

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2023

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Cited by 2 publications

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Electric Drive with an Adaptive Controller and Wireless Communication System

et al. 2023

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In this paper, the problem of the remote control of electric drives with a complex mechanical structure is discussed. Oscillations of state variables and control precision are the main issues found in such applications. The article proposes a smart, IoT-enabled controller, which allows remote communication with a drive. To solve the problem of speed oscillations and to make the system robust to parameter uncertainty, an adaptive controller with two neural networks is designed. First, numerical tests are conducted in a Matlab/Simulink environment to examine the operation of the proposed control strategy. Afterwards, the obtained results are verified in a laboratory setup equipped with a 0.5 kW electric motor. Remote access is provided by a low-cost, ARM-based ESP32 microcontroller. Usually, virtual instruments used to communicate with remote devices require specific software, which may be expensive and pose compatibility problems. Therefore, the main contribution of the article is the creation of a low-cost, web-based Human-Machine Interface (HMI) with an asynchronous server utility provided by the ESP32 that allows remote control and data acquisition of electric drive state variables.

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Electric Drive with an Adaptive Controller and Wireless Communication System

et al. 2023

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Low-Cost Implementation of an Adaptive Neural Network Controller for a Drive with an Elastic Shaft

Malarczyk

Zychlewicz

Stanislawski

et al. 2023

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This paper deals with the implementation of an adaptive speed controller applied for two electrical machines coupled by a long shaft. The two main parts of the study are the synthesis of the neural adaptive controller and hardware implementation using a low-cost system based on an STM Discovery board. The framework between the control system, the power converters, and the motors is established with an ARM device. A radial basis function neural network (RBFNN) is used as an adaptive speed controller. The net coefficients are updated (online mode) to ensure high dynamics of the system and correct work under disturbance. The results contain transients achieved in simulations and experimental tests.

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Damping of torsional vibrations in electric drive with AC motor

Cited by 2 publications

References 4 publications

Electric Drive with an Adaptive Controller and Wireless Communication System

Electric Drive with an Adaptive Controller and Wireless Communication System

Low-Cost Implementation of an Adaptive Neural Network Controller for a Drive with an Elastic Shaft

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