[1]王鹍鹏,张 磊.参数不确定条件下基于 I&I 的异步电机鲁棒控制新方法[J].机械与电子,2022,(07):32-36.
 WANG Kunpeng,ZHANG Lei.A New Robust Control Method of Induction Motor Based on I&I under Parameter Uncertainties[J].Machinery & Electronics,2022,(07):32-36.
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参数不确定条件下基于 I&I 的异步电机鲁棒控制新方法()
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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2022年07期
页码:
32-36
栏目:
自动控制与检测
出版日期:
2022-07-28

文章信息/Info

Title:
A New Robust Control Method of Induction Motor Based on I&I under Parameter Uncertainties
文章编号:
1001-2257 ( 2022 ) 07-0032-06
作者:
王鹍鹏 1 张 磊 2
1. 黑龙江中医药大学附属第一医院设备科,黑龙江 哈尔滨 150040 ;
2. 哈尔滨工业大学机械工程学院,黑龙江 哈尔滨 150001
Author(s):
WANG Kunpeng1 ZHANG Lei2
( 1.Equipment Division , First Affiliated Hospital to Heilongjiang University of Chinese Medicine , Harbin 150040 , China ;
2.School of Mechanical Engineering , Harbin Institute of Technology , Harbin 150001 , China)
关键词:
异步电机浸入与不变理论鲁棒控制Lyapunov 稳定性不确定性
Keywords:
induction motor immersion and invariance theory robust control Lyapunov stability uncertainty
分类号:
TM343
文献标志码:
A
摘要:
针对不确定参数存在条件下异步电机( IM )难以精确进行动态控制的问题,提出了一种基于浸入与不变性( I&I )理论的鲁棒控制方法。在故障工况(转子绕组渐增及负载突变)导致异步电机电气参数存在不确定性的情况下,基于 IM 系统动力学和 I&I 基本原理,通过设计补偿器实现了电机的鲁棒控制,并基于 Lyapunov 直接稳定性方法证明了所设计控制器的渐近稳定性。最后,通过仿真和实验对所提控制方法的有效性和适用性进行了验证。结果表明,所提出的控制方法在参数不确定条件下鲁棒性良好,且在参考信号类型改变时, IM 输出信号仍能够准确、快速地跟踪参考信号。
Abstract:
A robust control method based on the theory of immersion and invariance( I&I ) is proposed to solve the problem that the dynamic control of induction motor is difficult to be accurately controlled in the presence of uncertain parameters.When the electrical parameters of induction motors are uncertain due to fault conditions( rotor winding increasing and load mutation ), the robust control of induction motor is realized by designing compensator based on IM system dynamics and I&I basic principles , and then the asymptotic stability of the controller is proved based on Lyapunov direct stability method.Finally , the effectiveness and applicability of the proposed control method are verified by simulation.The results show that the proposed control method has good robustness under parameter uncertainties , and the IM output signals can track the reference signals accurately and quickly even when the reference signal type changes.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2022-01-23
基金项目:国家自然科学基金资助项目( 52075113 )
作者简介:王鹍鹏 ( 1990- ),男,黑龙江哈尔滨人,学士,助理工程师,研究方向为机电控制。
更新日期/Last Update: 2022-08-25