Comparative Study of Stator Configurations of a Permanent Magnet Linear Oscillating Actuator for Orbital Friction Vibration Actuator

Hu, Jianhui; Zhao, Meng; Zou, Jibin; Li, Yong

doi:10.3390/app7060630

Cited by 5 publications

(4 citation statements)

References 8 publications

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“…where F m is the driving force of the electromagnetic linear driving device and k m is the motor constant of the electromagnetic linear driving device, which is equal to the back emf coefficient in value. According to equations (1), (2), and (3), the mover displacement can be derived:…”

Section: Position Sensorless Control Methods Based Onmentioning

confidence: 99%

“…As an energy conversion device, electromagnetic linear drive device converts external electric energy into mechanical energy through magnetic field to drive the mechanism to achieve linear motion. e electromagnetic linear drive device adopts the moving coil structure, and the permanent magnets are arranged in accordance with the Halbach array to reduce the thrust fluctuation and alleviate the influence of the end effect [2,3]. Direct-drive-type AMT gearshift system with electromagnetic linear drive device has tremendous potential to minimize the shifting time of AMT.…”

Section: Introductionmentioning

confidence: 99%

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Gearshift Sensorless Control for Direct-Drive-Type AMT Based on Improved GA-BP Neural Network Algorithm

et al. 2020

Mathematical Problems in Engineering

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The automated mechanical transmission (AMT) based on the electromagnetic linear driving device (EMLDD) has good potential for shift performance. However, the direct-drive shifting mechanism based on the displacement sensor is difficult to meet the compactness of the structure and control robustness in complex environment. Through analyzing the working principle of the electromagnetic linear driving device and features of sensorless control strategy, a new displacement prediction method based on the improved GA-BP neural network is proposed to replace the displacement sensor. With current, voltage, and input shaft speed of the electromagnetic linear driving device as input, displacement prediction is obtained by the GA-BP neural network with improved selection factor. Finally, the experiment validated the effectiveness of displacement prediction based on the improved GA-BP neural network of shift control. The results showed that prediction accuracy of the improved GA-BP neural network was greater than 96% under all shift working conditions. The average RMSE was reduced by 21.8%, absolute error of displacement prediction was controlled within ±0.5 mm, and average shift time was less than 0.18 s. In this paper, the BP neural network is applied to complex linear displacement prediction, which has important application and popularization value.

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Section: Position Sensorless Control Methods Based Onmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Gearshift Sensorless Control for Direct-Drive-Type AMT Based on Improved GA-BP Neural Network Algorithm

et al. 2020

Mathematical Problems in Engineering

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“…Recent applications of topology optimization appeared in design of composite molding processes [23]. More recently, applications of topology optimization appeared in many fields, e.g., composite molding processes [23], optimal design of piezoelectric [24], phononic crystals design [25] and stator configurations [26]. …”

Section: Topological Designs With Ground Element Filteringmentioning

confidence: 99%

Topology Optimisation Using MPBILs and Multi-Grid Ground Element

Sleesongsom

Bureerat

2018

Applied Sciences

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This paper aims to study the comparative performance of original multi-objective population-based incremental learning (MPBIL) and three improvements of MPBIL. The first improvement of original MPBIL is an opposite-based concept, whereas the second and third method enhance the performance of MPBIL using the multi and adaptive learning rate, respectively. Four classic multi-objective structural topology optimization problems are used for testing the performance. Furthermore, these topology optimization problems are improved by the method of multiple resolutions of ground elements, which is called a multi-grid approach (MG). Multi-objective design problems with MG design variables are then posed and tackled by the traditional MPBIL and its improved variants. The results show that using MPBIL with opposite-based concept and MG approach can outperform other MPBIL versions.

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“…On other hand, in [14], the topology of symmetrical bistable permanent magnet actuator is presented to solve the problem of big retention in the close state and to improve magnet actuator is presented to solve the problem of big retention in the close state and to improve the efficiency. However, the starting time and wastage will increase for the symmetrical structure bistable permanent magnet actuator, which is caused by the large retention forces in the opening stage [15][16][17][18][19][20][21][22][23][24][25][26]. Thus, the asymmetrical structure bistable permanent magnet actuator (ASBPMA) is presented in [27][28][29][30][31][32] to improve HVBC with symmetrical bistable permanent magnet actuator.…”

Section: Introductionmentioning

confidence: 99%

Analysis, Design, and Optimization of a Novel Asymmetrical Bistable Short Mover Permanent Magnet Actuator for High-Voltage Circuit Breaker Application

Zeng

Yang

2022

Actuators

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In this paper, a novel asymmetrical bistable short mover permanent magnet actuator is presented. The comparisons between the presented machine and the asymmetrical structure bistable permanent magnet actuator are introduced. The static and dynamic characteristics of the high-voltage circuit breaker with the presented machine are calculated and discussed. The influences of the length of the mover and the initial mover position in the presented machine are studied and researched. The merits of the presented machine, such as less permanent magnet volume, low cost, small mover mass, and high starting speed, are researched and discussed. The Genetic Algorithm is used to optimize the presented machine. Finally, a conventional permanent magnet actuator prototype is created and tested on account of the limited experimental conditions. The characteristic curves of position versus retaining force are acquired to confirm the proposed design.

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Comparative Study of Stator Configurations of a Permanent Magnet Linear Oscillating Actuator for Orbital Friction Vibration Actuator

Cited by 5 publications

References 8 publications

Gearshift Sensorless Control for Direct-Drive-Type AMT Based on Improved GA-BP Neural Network Algorithm

Gearshift Sensorless Control for Direct-Drive-Type AMT Based on Improved GA-BP Neural Network Algorithm

Topology Optimisation Using MPBILs and Multi-Grid Ground Element

Analysis, Design, and Optimization of a Novel Asymmetrical Bistable Short Mover Permanent Magnet Actuator for High-Voltage Circuit Breaker Application

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