111 / 2021-06-18 14:22:11
Thermal Modeling of Tubular Permanent Magnet Linear Synchronous Motor Based on Random Forest
Tubular Permanent Magnet Linear Synchronous Motor,Random Forest,Temperature Field Modeling
终稿
Tao Wu / School of Automation; China University of Geosciences (Wuhan)
This paper proposed a novel thermal modeling analysis method of tubular permanent magnet linear synchronous motor(PMLSM) based on machine-leaning method.Firstly, the structure and main parameters and the finite element (FE) thermal modeling of motor are introduced.A small sample about the average temperature rise of permanent magnet, overall average temperature rise of PMLSM and coil temperature rise are obtained by FEM method, corresponding to different heat source inputs. Based on the sample dataset, a powerful machine learning algorithm called Random Forest(RF) is employed to fit the function relationship between output design objectives and input sources parameters. The accuracy of thermal prediction model is verified by the remaining group of sample data. Comprehensive performance comparison shows that the motor thermal prediction model was established by RF is better than artificial neural network(ANN).
重要日期
  • 会议日期

    07月01日

    2021

    07月04日

    2021

  • 07月03日 2021

    报告提交截止日期

  • 11月03日 2021

    注册截止日期

主办单位
Huazhong University of Science and Technology, China
协办单位
University of Sydney, Australia
Southwest Jiaotong University, China
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