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1.中车时代电动汽车股份有限公司,湖南 株洲 412001
2.湖南工业大学 电气与信息工程学院,湖南 株洲 412007
3. 湖南工业大学 轨道交通学院,湖南 株洲 412007
4. 湖南铁道职业技术学院,湖南 株洲 412001
黄宜山(1985—),男,硕士,工程师,主要从事整车、零部件产品检测及试验技术等方面的研究; E-mail: huangyishan.cy@crrcgc.cc
纸质出版日期:2022-05-10,
收稿日期:2022-02-08,
修回日期:2022-04-29,
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黄宜山, 唐润忠, 旷明秋, 等. 基于快速趋近律的永磁同步电机驱动系统改进无模型滑模控制[J]. 机车电传动, 2022,(3):148-155.
HUANG Yishan, TANG Runzhong, KUANG Mingqiu, et al. Improved model-free sliding mode control of permanent magnet synchronous motor drive system based on quick reaching law[J]. Electric drive for locomotives, 2022,(3):148-155.
黄宜山, 唐润忠, 旷明秋, 等. 基于快速趋近律的永磁同步电机驱动系统改进无模型滑模控制[J]. 机车电传动, 2022,(3):148-155. DOI: 10.13890/j.issn.1000-128X.2022.03.019.
HUANG Yishan, TANG Runzhong, KUANG Mingqiu, et al. Improved model-free sliding mode control of permanent magnet synchronous motor drive system based on quick reaching law[J]. Electric drive for locomotives, 2022,(3):148-155. DOI: 10.13890/j.issn.1000-128X.2022.03.019.
针对永磁同步电机驱动控制系统应用传统无模型滑模方法时性能指标达不到预期的问题,提出了一种基于快速趋近律的改进无模型滑模控制方法。首先,根据永磁同步电机参数摄动时的数学模型,建立速度外环的超局部模型;其次,设计一种基于改进快速趋近律的速度外环新型无模型滑模控制器,同时为了提高电机转速的控制精度,采用扩展滑模观测器实时观测超局部模型中的未知部分;最后,通过与PI控制、传统无模型滑模算法进行仿真和试验对比,验证所提算法能降低对电机模型的依赖,提高了永磁同步电机的暂稳态控制性能,保证系统的抗扰能力和强鲁棒性。
To solve the problem that the overall control performance of permanent magnet synchronous motor (PMSM) drive system does not achieve the expected performance index when using conventional model-free sliding mode control (CMFSMC) algorithm
an improved MFSMC based on the quick reaching law was proposed. Firstly
according to the mathematical model of PMSM with parameter perturbation
an ultra-local model of the speed loop in the PMSM was established. Secondly
a new MFSMC in speed loop was designed by using an improved quick reaching law. Meanwhile
to improve the control accuracy of motor speed
the extended sliding mode observer (ESMO) was utilized for the real-time observation of the unknown part of the ultra-local model. Finally
compared with PI control and CMFSMC algorithm
the simulation and experimental results verified that the proposed method could reduce the dependence on the PMSM model
improve the transient steady-state control performance of PMSM
and guarantee anti-interference ability and strong robustness of the system.
永磁同步电机快速趋近律无模型滑模控制扩展滑模观测器仿真超局部模型
permanent magnet synchronous motorquick reaching lawmodel-free sliding mode controlextended sliding mode observersimulationultra-local model
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赵凯辉, 殷童欢, 张昌凡, 等. 永磁同步电机无模型滑模控制方法研究[J]. 电子测量与仪器学报, 2018, 32(4): 172-180.
ZHAO Kaihui, YIN Tonghuan, ZHANG Changfan, et al. Research on model-free sliding mode control of permanent magnet synchronous motor[J]. Journal of Electronic Measurement and Instrumentation, 2018, 32(4): 172-180.
GAO Peng, ZHANG Guangming, LYU Xiaodong. Model-free hybrid control with intelligent proportional integral and super-twisting sliding mode control of PMSM drives[J]. Electronics, 2020, 9(9): 1427.
ZHOU Yanan, LI Hongmei, ZHANG Hengguo. Model-free deadbeat predictive current control of a surface-mounted permanent magnet synchronous motor drive system[J]. Journal of Power Electronics, 2018, 18(1): 103-115.
赵凯辉, 周瑞睿, 冷傲杰, 等. 一种永磁同步电机的有限集无模型容错预测控制算法[J]. 电工技术学报, 2021, 36(1): 27-38.
ZHAO Kaihui, ZHOU Ruirui, LENG Aojie, et al. Finite control set model-free fault-tolerant predictive control for permanent magnet synchronous motor[J]. Transactions of China Electrotechnical Society, 2021, 36(1): 27-38.
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