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汽轮发电机检测机器人磁吸附单元设计与优化研究

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为提高检测机器人的吸附性能并降低机器人的重量,本研究采用有限元仿真、数值拟合和人工蜂群算法对永磁吸附单元进行了设计与优化.设计了 3 种不同的磁路,利用Ansoft Maxwell仿真软件分析了不同磁路的吸附性能,结果表明,与传统H形磁路相比Halbach磁路具有更优异的性能,对于Halbach阵列,当永磁体宽度、厚度一定时,随着垂直磁化永磁体长度的增大,磁吸附力先增大后减小.利用人工蜂群算法对磁路进行了参数优化,参数优化后的磁吸附单元体积减小,单位质量磁吸附力增大.基于机器人本体开展功能验证实验,实验结果证明爬壁机器人能在任意工作位置下稳定运行.
Design and Optimization of the Magnetic Adsorption Unit for Turbo Generator Inspection Robot
In order to improve the adsorption performance of the detection robot and reduce the weight of the robot,the permanent magnet adsorption unit is designed and optimized through finite element simulation,numerical fitting and artificial bee colony algorithm in this study.Three different magnetic circuits are designed,and the Ansoft Maxwell simulation software is used to analyze the adsorption properties of different magnetic circuits,which demonstrates that the Halbach magnetic circuit has better performance than traditional H-shaped magnetic circuit.For the Halbach array,when the width and thickness of the permanent magnet are unchanged,the magnetic adsorption force first increases and then decreases with the increase of the length of the vertically magnetized permanent magnet.After the parameter optimization of the magnetic circuit through the artificial bee colony algorithm,the magnetic adsorption unit volume decreases while the magnetic adsorption force per unit mass increases.The functional verification experiments based on the robot body show that the wall-climbing robot can run stably in any working position.

wall-climbing robotmagnetic adsorption unitfinite element simulationparameter optimizationartificial bee colony algorithm

唐卓全、张帆、龚适、左骏红、陈旭东、王立闻、方修洋

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西南交通大学 机械工程学院,四川 成都 610031

东方电气集团科学技术研究院,四川 成都 611731

爬壁机器人 磁吸附单元 有限元仿真 参数优化 人工蜂群算法

四川省科技计划四川省科技计划

2022JDJQ00192022ZYD0029

2024

机械
四川省机械研究设计院 四川省机械工程学会 四川省机械科技情报标准研究所

机械

影响因子:0.392
ISSN:1006-0316
年,卷(期):2024.51(5)
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