Multi-Structural Optimization of Bearingless Permanent Magnet Slice Motor Based on Virtual Prototype in Ansoft Maxwell

Shen, Hui-Min; Bao, Feng; Yong-sheng, Yang; Li, Bingchu; Yu, Ping; Yang, Lihong; Chen, Guangsheng; Hu, Liang

doi:10.3390/app11114740

Cited by 8 publications

(6 citation statements)

References 26 publications

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“…The magnetic field finite element analysis of an obstacle blocking the permanent magnet structure was carried out using the Ansoft Maxwell module in the ANSYS software (Li et al, 2006; Shen et al, 2021), as shown in Figures 17–19.…”

Section: Simulation Analysismentioning

confidence: 99%

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Design and analysis of a wall‐climbing robot for water wall inspection of thermal power plants

Jiang

Chen

et al. 2023

Journal of Field Robotics

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Boiler water wall in thermal power plants is characterized by high‐altitude detection requirements. Moreover, the existing water wall‐climbing robots are characterized by low obstacle‐crossing performance, deviations, and a lack of autonomous crossing pipeline function. In view of this feature, a wall‐climbing robot with permanent magnet and electromagnetic hybrid adsorption wheels is proposed. The robot has the function of independent traverse according to its own structural characteristics. Furthermore, transverse movement is proposed by comparing different adsorption modes, moving and driving modes. Robot statics in upward, downward, and transverse crawling are carried out, and nonsliding mechanical and nonoverturning mechanical models are obtained. Robot's dynamics are analyzed by considering the wall movement. The finite element simulation analysis of its main stressed parts is carried out by employing ANSYS, and an optimal structural model is obtained. The gap adsorption permanent magnet model is constructed, and its parametric simulation analysis is carried out using the Ansoft Maxwell module. The influence curve of the gap on the magnetic force is then obtained. Finally, the prototype is developed according to the design model and calculation analysis, and the experimental test is carried out. The experimental results show that the robot meets the expected functions and indexes, providing a basis for the intelligent development of thermal power plants.

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Section: Simulation Analysismentioning

confidence: 99%

“…However, it also has slow crawling speed, large mass, is difficult to handle, and is inconvenient to steer. The leg-type wall-climbing robot proposed in Bian et al (2021) and Huo et al (2021) has a good obstaclesurmounting ability. However, its walking speed is slow, the control is relatively complex, and the efficiency is low.…”

mentioning

confidence: 99%

Design and analysis of a wall‐climbing robot for water wall inspection of thermal power plants

Jiang

Chen

et al. 2023

Journal of Field Robotics

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“…Taking the permanent magnet adsorption device on the driving wheel side as an example, two models were developed, as illustrated in Figure 11. The Ansoft Maxwell software (Li et al, 2006;Shen et al, 2021) was used to perform magnetic field finite element simulation analysis on the two adsorption models. The air solution domain was set to 15%.…”

Section: Comparative Analysis Of the Magnetic Circuit Designmentioning

confidence: 99%

“…The Ansoft Maxwell software (Li et al, 2006; Shen et al, 2021) was used to perform magnetic field finite element simulation analysis on the two adsorption models. The air solution domain was set to 15%.…”

Section: Parametric Simulation Analysis Of Permanent Magnet Adsorptio...mentioning

confidence: 99%

Design and analysis of a wall‐climbing robot for passive adaptive movement on variable‐curvature metal facades

Jiang

et al. 2022

Journal of Field Robotics

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To facilitate the safe adsorption and stable motion of robots on curved metal surfaces, a wall‐climbing robot with a wheeled‐type mobile mechanism that can passively self‐adapt to walls with different curvature is proposed. The robot is composed of two relatively independent passive adaptive mobile mechanisms and overrunning permanent magnetic adsorption devices to achieve effective fitting of the driving wheels to the wall surface and adaptive surface motion. The overall design is based on a double‐hinged connection scheme and gap‐type permanent magnetic adsorption. The minimum adsorption force required for the robot to achieve stable climbing motion with no risk of slipping or capsizing is determined by developing a static analysis model. The effects of air‐gap size and wall thickness on the adsorption force are analyzed by means of magnetic circuit design studies and parametric simulations on the permanent magnet adsorption device, as well as design optimization of the permanent magnet device. The motion performance test of the fabricated prototype shows that the robot can achieve adaptive curvature motion with self‐attitude adjustment, and has a certain load capacity, obstacle crossing capability, and good surface adaptivity.

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“…Wang et al proposed a multiobjective optimization method based on the genetic algorithm and magnetostatic FEA 2D model to optimize the shape design parameters of linear proportional solenoids [40]. Shen et al proposed an effective optimization method for mechanical structure of a bearing less permanent magnet slice motor (BPMSM), which uses the gradient descent method to obtain a linear regression model, and the genetic algorithm was used to solve it [41]. For the research of TMAAG in this paper, the method where a regression model is obtained through neural network and then solved by genetic algorithm is selected, which considers both simplicity and accuracy simultaneously.…”

Section: Introductionmentioning

confidence: 99%

Investigation of Characteristics of a Novel Torque Motor Based on an Annulus Air Gap

et al. 2021

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Although a two-dimensional (2D) valve has excellent performance, the processing of its spiral groove has a high cost and is time-consuming. This paper proposes a novel torque motor based on an annulus air gap (TMAAG) to replace the negative feedback function of the spiral groove to reduce the machining difficulty. In order to study the torque change law of the TMAAG, the air gap permeance was analyzed, and then a qualitative analytical model was established. Orthogonal tests were carried out to initially select the crucial parameters, which were further optimized through a back propagation (BP) neural network and genetic algorithm. The prototype of TMAAG was machined, and a special experimental platform was built, and experiment results are similar to the simulation values, which verifies the accuracy of the air gap analysis and qualitative model. For torque-angle characteristics, the output torque increases with both current and rotation angle and reaches about 0.754 N·m with 2 A and 1.5°. While for torque-displacement characteristics, due to the negative feedback mechanism, the output torque decreases with increasing armature displacement, which is about 0.084 N·m with 2 A and 1 mm. The research validates the unique negative feedback mechanism of the TMAAG and indicates that it can be potentially used as an electro-mechanical converter of a 2D valve.

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Multi-Structural Optimization of Bearingless Permanent Magnet Slice Motor Based on Virtual Prototype in Ansoft Maxwell

Cited by 8 publications

References 26 publications

Design and analysis of a wall‐climbing robot for water wall inspection of thermal power plants

Design and analysis of a wall‐climbing robot for water wall inspection of thermal power plants

Design and analysis of a wall‐climbing robot for passive adaptive movement on variable‐curvature metal facades

Investigation of Characteristics of a Novel Torque Motor Based on an Annulus Air Gap

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