A stator current vector orientation based multi-objective integrative suppressions of flexible load vibration and torque ripple for PMSM considering electrical loss

Yu, Yang; Cong, Leyao; Xia, Tian; Mi, Zengqiang; Li, Yahui; Fan, Zhen; Fan, Hui

doi:10.30941/cestems.2020.00021

Cited by 20 publications

(6 citation statements)

References 31 publications

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“…In the course of the experimental studies aimed at revealing the methods of increasing the technical BCA life, the authors made important design changes. These are the use of brush holders equipped with a coil spring and discharge plate, new brushes with increased wear resistance, switching ability, a rotary brush holder crosshead, collectors containing bimetallic collector plates [8], and bearings covered with a hard antifriction coating [10]. The use of artificial intelligence and machine learning models will be the future continuation of this research work.…”

Section: Discussionmentioning

confidence: 99%

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Stochastic Models and Processing Probabilistic Data for Solving the Problem of Improving the Electric Freight Transport Reliability

Martyushev,

Malozyomov,

Filina

et al. 2023

Mathematics

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Improving the productivity and reliability of mining infrastructure is an important task contributing to the mining performance enhancement of any enterprise. Open-pit dump trucks that move rock masses from the mining site to unloading points are an important part of the infrastructure of coal mines, and they are the main transport unit used in the technological cycle during open-pit mining. The failure of any of the mining truck systems causes unscheduled downtime and leads to significant economic losses, which are associated with the need to immediately restore the working state and lost profits due to decreased site productivity and a disruption of the production cycle. Therefore, minimizing the number and duration of unscheduled repairs is a necessity. The most time-consuming operations are the replacement of the diesel engine, traction generator, and traction motors, which requires additional disassembly of the dump truck equipment; therefore, special reliability requirements are imposed on these units. In this article, a mathematical model intended for processing the statistical data was developed to determine the reliability indicators of the brush collector assembly and the residual life of brushes of electric motors, which, unlike existing models, allow the determination of the refined life of the brushes based on the limiting height of their wear. A method to predict the residual life of an electric brush of a DC electric motor is presented, containing a list of controlled reliability indicators that are part of the mathematical model. Using the proposed mathematical model, the reliability of the brush-collector assembly, the minimum height of the brush during operation, and the average rate of its wear were studied and calculated.

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Section: Discussionmentioning

confidence: 99%

“…The most labor-intensive operations are the replacement of the diesel-electric generator, traction generator, and traction motors, which requires additional disassembly of the dump truck equipment. Therefore, special reliability requirements are imposed on these units [10].…”

Section: Introductionmentioning

confidence: 99%

Stochastic Models and Processing Probabilistic Data for Solving the Problem of Improving the Electric Freight Transport Reliability

Martyushev,

Malozyomov,

Filina

et al. 2023

Mathematics

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“…The details of the diagram in Figure 3 are from left to right: setting the desired motor speed, final speed feedback, SC, current loop, load control system, and final speed. The diagram in Figure 4 is built in the same vein, from left to right: input of the desired motor speed, final speed feedback, SC, flux feedback, flux controller, load control system, and finally the final speed [11,12].…”

Section: Figure 2 Structural Diagram Of the Electric Drivementioning

confidence: 99%

Dual-zone control of the traction permanent magnet synchronous motor in the unmanned aerial vehicle

2023

IJATEE

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Unmanned aerial vehicles (UAVs) represent an incredibly exciting story of innovation, closely linked to the development of aeronautics and robotics. Starting with the idea of creating autonomous flying devices, which originated in the middle of the 20th century, this segment has undergone significant development in recent decades, especially at the present time.In the 1960s, the first experimental prototypes of UAV were created, which were widely used for military and scientific purposes. However, they were cumbersome and required significant human intervention to operate.In the 1990s, with the development of microelectronics and computer technology, a new era in the development of UAVs began. Miniature and compact drones have become affordable due to improvements in autonomy, sensors and data transfer capabilities.

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“…[1][2][3]. The PMSM has the characteristics of large starting torque, high power factor and high efficiency [4], which is widely used in the servo control of robot [5,6]. In recent years, with the improvement of production process precision [7], the position control of n-joint robot driven by PMSM becomes more difficult.…”

Section: Introductionmentioning

confidence: 99%

Neural network dynamic surface position control of n‐joint robot driven by PMSM with unknown load observer

Yang

Meng

et al. 2022

IET Control Theory & Appl

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To solve the problems of low accuracy and poor stability due to modeling error, external disturbance and unknown load, which exist in the position servo control of permanent magnet synchronous motor (PMSM) driven joint robot, this article is to propose the radial basis function (RBF) neural networks dynamic surface control strategy with the Sage-Husa adaptive Kalman filter load torque observer. For the unknown load torque of the robot, the PMSM load torque observer is established by using the Sage-Huga adaptive Kalman filter. The RBF neural network dynamic surface controller is designed using the online approximation capability of the neural network, which is used to approximate the modeling error, external interference and filtering error generated by the dynamic surface control of the joint robot online. Combining the above strategies, the n-joint robot position controller is designed. The stability of this control strategy is demonstrated by stability analysis. Simulations and experiments on the two-joint robot show that the control strategy ensures the accuracy and stability of the joint robot position control.

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A stator current vector orientation based multi-objective integrative suppressions of flexible load vibration and torque ripple for PMSM considering electrical loss

Cited by 20 publications

References 31 publications

Stochastic Models and Processing Probabilistic Data for Solving the Problem of Improving the Electric Freight Transport Reliability

Stochastic Models and Processing Probabilistic Data for Solving the Problem of Improving the Electric Freight Transport Reliability

Dual-zone control of the traction permanent magnet synchronous motor in the unmanned aerial vehicle

Neural network dynamic surface position control of n‐joint robot driven by PMSM with unknown load observer

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