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Advanced Hybrid Information Processing. 4th EAI International Conference, ADHIP 2020, Binzhou, China, September 26-27, 2020, Proceedings, Part II

Research Article

Research on Electric Drive Control Method Based on Parallel Computing

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  • @INPROCEEDINGS{10.1007/978-3-030-67874-6_17,
        author={Lin-ze Gao},
        title={Research on Electric Drive Control Method Based on Parallel Computing},
        proceedings={Advanced Hybrid Information Processing. 4th EAI International Conference, ADHIP 2020, Binzhou, China, September 26-27, 2020, Proceedings, Part II},
        proceedings_a={ADHIP PART 2},
        year={2021},
        month={1},
        keywords={Parallel computing Electric drive Control method Motor parameters Load rate Air gap magnetic field},
        doi={10.1007/978-3-030-67874-6_17}
    }
    
  • Lin-ze Gao
    Year: 2021
    Research on Electric Drive Control Method Based on Parallel Computing
    ADHIP PART 2
    Springer
    DOI: 10.1007/978-3-030-67874-6_17
Lin-ze Gao1,*
  • 1: Guilin University of Electronic Technology
*Contact email: gaolz20@126.com

Abstract

In order to solve the problems of low control accuracy and poor stability of traditional electric drive control methods, a parallel computing based electric drive control method is proposed. According to the selected motor parameters, the transmission point with the maximum power or the strongest mechanical rigidity is selected as the main node, so that the parameters are equal to the load rate of the load distribution motor, and the load distribution is completed by parallel calculation; the air gap magnetic field is generated inside the motor, and the electromagnetic thrust is generated under the interaction with the excitation magnetic field generated by the permanent magnet by using the concepts of coordinate transformation and space vector Force is used to push the motor to move synchronously and linearly at the same speed to complete the motor vector control and the electrical drive control based on parallel computing. The experimental results show that the control accuracy of the proposed method is high and the operation is stable. It can effectively reduce the position tracking error and improve the control accuracy.

Keywords
Parallel computing Electric drive Control method Motor parameters Load rate Air gap magnetic field
Published
2021-01-29
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-67874-6_17
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