Vector Control of Six-phase Induction Motor Based on Backstepping Adaptive

LIAN Han; ZHANG Jilong

doi:10.13890/j.issn.1000-128x.2018.04.010

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Vector Control of Six-phase Induction Motor Based on Backstepping Adaptive

更新时间：2021-12-13

- Vector Control of Six-phase Induction Motor Based on Backstepping Adaptive
- Electric Drive for Locomotives Issue 4, Pages: 40-43(2018)
- 作者机构：
  
  1. 河南工业职业技术学院,河南,南阳,473009
  2. 国网定西供电公司,甘肃,定西,743000
  3. 兰州理工大学电气工程与信息工程学院,甘肃,兰州,730050
- 作者简介：
- 基金信息：
- DOI：10.13890/j.issn.1000-128x.2018.04.010
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LIAN Han, ZHANG Jilong. Vector Control of Six-phase Induction Motor Based on Backstepping Adaptive. [J]. Electric Drive for Locomotives (4):40-43(2018)
DOI：

LIAN Han, ZHANG Jilong. Vector Control of Six-phase Induction Motor Based on Backstepping Adaptive. [J]. Electric Drive for Locomotives (4):40-43(2018) DOI： 10.13890/j.issn.1000-128x.2018.04.010.

摘要

针对六相感应电机运行时存在参数变化与负载扰动等问题，从其数学模型出发，提出了一种六相感应电机反推自适应的矢量控制方法。该方法运用非线性的反推控制器取代传统的PI 控制器，实现转子电阻与负载转矩的实时估计，能够保证系统在参数发生变化的情况下实现电机对给定信号的跟踪控制。在MATLAB/ Simulink 中进行仿真验证，结果表明：所提出的控制方法与传统的PI 控制方法相对比，可以保证系统全局稳定、明显提高系统的动静态性能和鲁棒性。

Abstract

In view of the problem of parameter change and load disturbance in the operation of six-phase induction motor, a new vector control method of backstepping adaptive for six-phase induction motor was proposed based on its mathematical model. This method used the nonlinear backstepping controller to replace the traditional PI controller to realize the real-time estimation of the rotor resistance and load torque, which could guarantee the system to realize the tracking control of the given signal under the change of the parameters. The simulation results in MATLAB/Simulink showed that comparing with the traditional PI control method, the proposed control method could ensure the global stability of the system and improve the dynamic and static performance and robustness of the system.

关键词

六相感应电机反推自适应控制矢量控制新虚拟电压平衡矢量鲁棒性

Keywords

six-phase induction motorbackstepping adaptive controlvector controlnew virtual voltage balancing vectorrobustness

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