[1]胡春龙.基于神经网络的五相开关磁阻电机直接转矩控制系统研究[J].机械与电子,2021,(08):36-40.
　HU Chunlong.Research on Direct Torque Control System of Five Phase Switched Reluctance Motor Based on Neural Network[J].Machinery & Electronics,2021,(08):36-40.
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基于神经网络的五相开关磁阻电机直接转矩控制系统研究()
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机械与电子[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2021年08期
页码:
36-40
栏目:
机电一体化技术
出版日期:
2021-08-24

文章信息/Info

Title:
Research on Direct Torque Control System of Five Phase Switched Reluctance Motor Based on Neural Network
文章编号:
１００１-２２５７ ( ２０２１ ) ０８-００３６-０５
作者:
胡春龙
陕西国防工业职业技术学院,陕西 西安 ７１０３００
Author(s):
HU Chunlong
( Shaanxi Defence Vocational and Technical College , Xi ’an ７１０３００ , China )
关键词:
五相开关磁阻电机; 直接转矩控制; BP神经网络; 变参数
Keywords:
five-phase switched reluctance motor ;  direct torque control ;  BP neural network ;  variable parameter
分类号:
TM３５２ ; TP２７３
文献标志码:
A
摘要:
以五相开关磁阻电机为研究对象,对直接转矩控制方法进行了分析与研究,提出了一种 BP 神经网络 PID 与传统 PI 复合的新型调速策略.通过高速切换,在大速度误差下采用 BP-PID 控制调速,小速度误差下采用传统 PI 控制调速,使系统误差快速减小并保持稳定,同时在传统 PI 侧引入了以负载转矩差构成的变参数法,可以更好地抵抗外界干扰,提高系统响应速度.对五相开关磁阻电机调速系统进行了仿真实验,实验结果表明,这种控制策略能够有效抑制转矩脉动,调速性能优秀,系统动静态性能良好.
Abstract:
Taking five phase switched reluctance motor as the research object , this paper analyzes and studies the direct torque control method , and proposes a new speed control strategy combining BP neural network PID and traditional PI．Through high-speed switching , BP-PID control is adopted for speed control under large speed error , and traditional PI control is adopted for speed control under small speed error ,so that the system error can be quickly reduced and kept stable．At the same time , in the traditional P-PID control , the system error can be reduced and maintained．The variable parameter method based on load torque difference is introduced in I side , which can better resist external interference and improve system responsespeed．The simulation experiment of five phase switched reluctance motor speed control system is carried out．The experimental results show that this control strategy can effectively suppress the torque ripple,it has excellent speed control performance．The system has good dynamic and static performance．

参考文献/References:

[１] 周凯,石增 ． 开关磁阻电机转矩脉动抑制技术[ J ] ． 电机与控制学报,２０１９ , ２３ ( １２ ): ８５-９２．

[２] 桑徐阳,颜刚锋,王远东,等 ． 一种改进的四相开关磁阻电机直接转矩控制策略研究[ J ] ． 机电工程,２０１９ , ３６( １ ): ６０-６５．
[３] 曹鑫,户红艳,颜宁,等 ． 扇区实时优化的开关磁阻电机直接转矩控制方法[ J ] ． 电工技术学报, ２０１８ , ３３ ( １９ ):４５２６-４５３４．
[４] 李玉峰,王栋栋,王博 ． 基于 BP 神经网络的开关磁阻电机直接转矩控制建模与仿真[ J ] ． 电子器件,２０２０ , ４３( ４ ): ８２５-８３０．
[５] HASSOUN Y , RIFAI M B．Drive of senseless switched reluctance motor ( SRM ) depending on artificial neural networks [ C ] ∥２０１７ １０th Jordanian International Electrical and Electronics Engineering Conference , ２０１７ :１-９．
[６] 霍东亮,邓福军 ． 基于模糊控制开关磁阻电机直接转矩系统研究[ J ] ． 微电机, ２０１８ , ５１ ( ６ ): ５４-５８ , ６２．

相似文献/References:

[1]孙 凯,张友海,刘道国,等.齿轮加工机床用永磁同步电机直接转矩控制方法[J].机械与电子,2023,41(07):52.
　SUN Kai,ZHANG Youhai,LIU Daoguo,et al.Direct Torque Control Method of Permanent Magnet Synchronous Motor for Gear Machining Machine Tool[J].Machinery & Electronics,2023,41(08):52.

备注/Memo

备注/Memo:
收稿日期: ２０２１-０４-２４
基金项目:陕西国防工业职业技术学院科研项目( Gfy２０-１８ )
作者简介:胡春龙 ( １９８８－ ),男,陕西西安人,硕士,讲师,研究方向为机电一体化技术.
更新日期/Last Update: 2021-09-01