Loss Minimization Model Predictive Control of Interior Permanent Magnet Synchronous Motor Drive System Without Solving Optimal Current References

FAN Zhixiang; DING Shichuan; HANG Jun; WANG Zheng

doi:10.13334/j.0258-8013.pcsee.240287

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Loss Minimization Model Predictive Control of Interior Permanent Magnet Synchronous Motor Drive System Without Solving Optimal Current References

更新时间：2026-10-12

- Loss Minimization Model Predictive Control of Interior Permanent Magnet Synchronous Motor Drive System Without Solving Optimal Current References
- Vol. 45, Issue 16, Pages: 6517-6525(2025)
- 作者机构：
  
  1. 安徽大学电气工程与自动化学院,安徽省,合肥市,230601
  2. 东南大学电气工程学院,江苏省,南京市,210096
- 作者简介：
- 基金信息：
- DOI：10.13334/j.0258-8013.pcsee.240287
  CLC：
- Published：2025
- 稿件说明：
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FAN Zhixiang, DING Shichuan, HANG Jun, et al. Loss Minimization Model Predictive Control of Interior Permanent Magnet Synchronous Motor Drive System Without Solving Optimal Current References[J]. 2025, 45(16): 6517-6525.
DOI：

FAN Zhixiang, DING Shichuan, HANG Jun, et al. Loss Minimization Model Predictive Control of Interior Permanent Magnet Synchronous Motor Drive System Without Solving Optimal Current References[J]. 2025, 45(16): 6517-6525. DOI： 10.13334/j.0258-8013.pcsee.240287.

摘要

目前，内置式永磁同步电机(interior permanent magnet synchronous motor，IPMSM)最小损耗控制(loss minimization control，LMC)的最优参考电流需要通过求解复杂的四次方程来获得。而已有的解析法、数值法或近似处理法等求解手段会面临求解过程繁琐、计算负担大、求解误差增大的问题。此外，现有的LMC并未考虑逆变器的损耗。为此，该文提出一种IPMSM驱动系统最小损耗模型预测控制方法，该方法无需求解最优参考电流，同时进一步降低逆变器的损耗。首先，从d、q轴有功电流的角度构建满足最小损耗条件约束的价值函数；其次，在价值函数中加入开关次序约束项，以降低逆变器的开关频率；而后，基于价值函数，选取电机系统当前时刻的最优电压矢量。因此，所提LMC方法无需进行最优参考电流的计算，不仅避免高次方程求解产生的问题，而且可以降低逆变器的开关损耗，从而实现整个电机驱动系统的效率优化。实验结果表明，所提方法具备优良的效率优化效果与动态性能。

Abstract

At present

it is necessary to solve complex quartic equations by analytical methods

numerical methods or approximation processing methods to obtain the optimal current references for loss minimization control (LMC) of interior permanent magnet synchronous motor (IPMSM)

but it will face the problems of complex solving process

large computational burden and increased solving error. Moreover

the existing methods do not take the inverter loss into consideration. Therefore

this paper proposes a model predictive LMC method for the IPMSM drive system

which does not need to solve the optimal current references and further reduces the switching loss. Firstly

the constraint relationship between dq-axis active currents for the LMC is utilized to construct the cost function. Secondly

the constraint term considering the switching order is constructed in the cost function for reducing the switching frequency. Then

through the current predictive model

the voltage vector that minimizes cost function is selected. Therefore

the proposed method can not only achieve LMC of the machine without solving the complex quartic equation but also reduce the switching of the inverter. The experimental results show that the proposed method has excellent loss reduction performance and dynamic performance.

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Related Institution

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