基于变速滑模观测器和超局部模型的IPMSM无模型预测电流控制

刘可安; 倪大成; 郭 昕; 吕铭晟; 黄守道; 贾晨辰

doi:10.19783/j.cnki.pspc.260299

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基于变速滑模观测器和超局部模型的IPMSM无模型预测电流控制

应用研究 | 更新时间：2026-09-23

- 基于变速滑模观测器和超局部模型的IPMSM无模型预测电流控制
- Model-free predictive current control of IPMSM based on variable-speed sliding mode observer and ultra-local model
- 电力系统保护与控制 2026年54卷第18期
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- DOI：10.19783/j.cnki.pspc.260299
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- 纸质出版：2026
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刘可安, 倪大成, 郭昕, 等. 基于变速滑模观测器和超局部模型的IPMSM无模型预测电流控制[J]. 电力系统保护与控制, 2026,54(18).

LIU Ke’an, NI Dacheng, GUO Xin, et al. Model-free predictive current control of IPMSM based on variable-speed sliding mode observer and ultra-local model[J]. Power System Protection and Control, 2026, 54(18).
刘可安, 倪大成, 郭昕, 等. 基于变速滑模观测器和超局部模型的IPMSM无模型预测电流控制[J]. 电力系统保护与控制, 2026,54(18). DOI： 10.19783/j.cnki.pspc.260299.

LIU Ke’an, NI Dacheng, GUO Xin, et al. Model-free predictive current control of IPMSM based on variable-speed sliding mode observer and ultra-local model[J]. Power System Protection and Control, 2026, 54(18). DOI： 10.19783/j.cnki.pspc.260299.

摘要

针对内置式永磁同步电机(interior permanent magnet synchronous motor

IPMSM)运行中因参数失配而引起的电流波动问题，提出一种结合超局部模型与变速滑模观测器(variable speed sliding mode observer

VSSMO)的无差拍预测电流控制(deadbeat predictive current control

DPCC)策略。首先，基于永磁同步电机的数学模型，分析了传统DPCC在参数失配条件下的局限性。其次，提出了一种基于变速双幂次趋近律(variable speed double power reaching law

VSDPRL)的VSSMO，以解决传统滑模观测器因抖振现象造成电流跟踪精度差的问题。进一步地，为增强DPCC的鲁棒性，将参数偏差及未建模动态统一视为集总扰动，建立一阶超局部模型，并设计基于VSDPRL的变速滑模观测器。最后，通过与传统DPCC以及基于传统滑模观测器的DPCC方法进行实验比较，验证了所提VSSMO-DPCC方法能够有效改善电机在参数扰动下的稳态性能，显著提升了参数失配时IPMSM系统的控制鲁棒性。

Abstract

A model-free deadbeat predictive current control (DPCC) strategy combining an ultra-local model with a variable-speed sliding mode observer (VSSMO) is proposed to address current fluctuations caused by parameter mismatches during the operation of interior permanent magnet synchronous motors (IPMSMs). First

based on the mathematical model of the IPMSM

the limitations of conventional DPCC under parameter mismatches are analyzed. Second

a VSSMO based on variable-speed double power reaching law (VSDPRL) is proposed to address the poor current tracking accuracy of conventional sliding-mode observers caused by chattering. Furthermore

to enhance the robustness of DPCC

parameter deviations and unmodeled dynamics are collectively treated as lumped disturbances

and a first-order ultra-local model is established. A variable-speed sliding mode observer based on the VSDPRL is then developed. Finally

experimental comparisons with conventional DPCC and sliding mode observer-enhanced DPCC (SMO-DPCC) verify that the proposed VSSMO-DPCC method effectively improves steady-state performance of the motor under parameter disturbances and significantly enhances control robustness of the IPMSM system in the presence of parameter mismatch.

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references

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