Stability Analysis of Electromechanical Coupling Torsional Vibration for Wheel-Side Direct-Driven Transmission System under Transmission Clearance and Motor Excitation

Ju, Jinyong; Liu, Yufei; Zhang, Chunrui

doi:10.3390/wevj13030046

Cited by 4 publications

(3 citation statements)

References 36 publications

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“…The problems related to the development and application of digital models for the creation of DTs of industrial systems are considered in [16][17][18][19]. Refs.…”

Section: Simulation Models For Dtsmentioning

confidence: 99%

Method for Defining Parameters of Electromechanical System Model as Part of Digital Twin of Rolling Mill

Gasiyarov,

Radionov,

Loginov

et al. 2023

JMMP

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Creating digital twins of industrial equipment requires the development of adequate virtual models, and the calculation of their parameters is a complex scientific and practical problem. To configure and digitally commission automated drives, two-mass electromechanical system models are used. A promising area in which to implement such models is the development of digital shadows, namely drive position observers. Connecting virtual models for online data exchange predetermines the tightening of requirements for their parameter calculation accuracy. Therefore, developing accessible techniques for calculating electromechanical system coordinates is an urgent problem. These parameters are most accurately defined by experiments. The contribution of this paper is the proposition of a method for defining the two-mass system model parameters using the oscillograms obtained in the operating and emergency modes. The method is developed for the horizontal stand drives of a plate mill 5000 and is supported by numerical examples. The technique is universal and comprises calculating the rotating mass inertia torques, elastic stiffness and oscillation damping coefficients, and the time constants of the motor air gap torque control loop. The obtained results have been applied to the development of the elastic torque observer of the rolling stand’s electromechanical system. A satisfactory coordinate recovery accuracy has been approved for both open and closed angular gaps in mechanical joints. Recommendations are given for the use of the method in developing process parameter control algorithms based on automated drive position observers. This contributes to the development of the theory and practice of building digital control systems and the implementation of the Industry 4.0 concept in industrial companies.

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“…The problems related to the development and application of digital models for the creation of DTs of industrial systems are considered in [16][17][18][19]. Refs.…”

Section: Simulation Models For Dtsmentioning

confidence: 99%

Method for Defining Parameters of Electromechanical System Model as Part of Digital Twin of Rolling Mill

Gasiyarov,

Radionov,

Loginov

et al. 2023

JMMP

View full text Add to dashboard Cite

show abstract

“…The electrical part of the system consists of an energy accumulator and a converter connected by an electric and magnetic connection. The mechanical part is an inertial mass connected by elastic mechanical joints [6,7]. During operation, the elastic links in the mechanical part of the electric drive system are subjected to mechanical shocks, which change with a certain frequency and lead to an increase in the wear rate of the structural components of the system and prevent the stable operation of the system.…”

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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“…The influence of torque fluctuation amplitude and transmission clearance of permanent magnet synchronous motor (PMSM) on the torsional vibration stability of wheel side direct drive transmission system (WDTS) was analyzed experimentally. The results show that the nonlinear characteristics of WDTS torsional vibration response are relatively complex, which affects the stable operation of WDTS under the effect of system transmission clearance [8]. Manchi V. et al proposed a centrifugal double pendulum vibration absorber (CDPVA), which simplifies the design of high-order vibration absorber by using the series connection of two pendulums.…”

Section: Introductionmentioning

confidence: 99%

Design of automotive mechanical automatic transmission system based on torsional vibration reduction

Zhuan¹

2023

J. vibroeng.

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Automatic transmission system is the core part of vehicle transmission processing, which can improve driving safety. In order to improve the shift effect of automotive automatic mechanical transmission and narrow the gap between the vehicle speed and the expected speed, an automotive automatic mechanical transmission system based on torsional damping was designed in the experiment. On the basis of hardware composed of different modules and fuzzy control algorithm, the system realizes the software design of vehicle automatic mechanical transmission system. The experimental results show that when the system is applied in practice, the gear selection time of the vehicle is between 0.2 s-0.3 s, and the gear shift time is between 0.3 s-0.4 s. The gap between the vehicle speed and the expected speed, and between the vehicle speed and the expected speed is small. The practical application effect is good.

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Stability Analysis of Electromechanical Coupling Torsional Vibration for Wheel-Side Direct-Driven Transmission System under Transmission Clearance and Motor Excitation

Cited by 4 publications

References 36 publications

Method for Defining Parameters of Electromechanical System Model as Part of Digital Twin of Rolling Mill

Method for Defining Parameters of Electromechanical System Model as Part of Digital Twin of Rolling Mill

Stability Assessment of an Ore Mill Electric Drive Using Machine Learning

Design of automotive mechanical automatic transmission system based on torsional vibration reduction

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