飞轮储能系统含参数辨识的双矢量交替顺序模型预测控制

张建伟; 喻研; 温素芳; 田桂珍; 刘广忱

doi:doi:10.19912/j.0254-0096.tynxb.2024-1093

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飞轮储能系统含参数辨识的双矢量交替顺序模型预测控制

更新时间：2025-12-17

- 飞轮储能系统含参数辨识的双矢量交替顺序模型预测控制
- Issue 10, Pages: 97-106(2025)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：doi:10.19912/j.0254-0096.tynxb.2024-1093
  CLC： M301
- Published Online：31 October 2025，
  
  Published：31 October 2025
- 稿件说明：
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张建伟, 喻研, 温素芳, et al. 飞轮储能系统含参数辨识的双矢量交替顺序模型预测控制[J]. 2025, (10): 97-106.
DOI：

张建伟, 喻研, 温素芳, et al. 飞轮储能系统含参数辨识的双矢量交替顺序模型预测控制[J]. 2025, (10): 97-106. DOI： doi:10.19912/j.0254-0096.tynxb.2024-1093.

摘要

为提高飞轮储能系统中永磁同步电机的控制精度

提出一种改进的模型预测控制策略。首先通过转矩和磁链的代价函数交替优先评估消除权重系数并无需确定控制目标的优先级

能够有效平衡转矩和磁链的控制效果。随后

为降低飞轮储能电机的转矩和磁链脉动

设计双矢量合成的方法

简化占空比计算过程。此外

为提高系统的参数鲁棒性

采用最小二乘法对电机参数实现准确辨识并实时更新控制器参数

最后通过实验验证所提控制策略在飞轮储能系统充放电工况下的可行性和有效性。

Abstract

To improve the control accuracy of permanent magnet synchronous machine in the flywheel energy storage system （FESS）

an improved model predictive control strategy is proposed. Firstly

by alternately evaluating the cost functions of torque and flux

the weighting factor is eliminated and there is no need to determine the priority of control objectives in this proposed method. The proposed method effectively balances the control performance of torque and flux. Subsequently

to reduce the torque and flux fluctuations of the FESS

a double-vector synthesis method is designed and the duty cycle calculation process is simplified. In addition

to improve the parameter robustness of the system

the least squares method is used to identify the machine parameters and update the controller parameters in real time. Finally

the feasibility and effectiveness of the proposed control strategy in FESS charging and discharging conditions are experimentally verified.

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references

ZHANG J W, WANG Y H, LIU G C, et al.A review of control strategies for flywheel energy storage system and a case study with matrix converter[J]. Energy reports, 2022, 8: 3948-3963.

李红, 储江伟, 孙术发, 等. 车用飞轮混合动力系统的应用进展[J]. 储能科学与技术, 2021, 10(2): 534-543.

齐洪峰. 飞轮储能与轨道交通系统技术融合发展现状[J]. 电源技术, 2022, 46(2): 137-140.

聂永辉, 张丽丽, 张立栋, 等. 一种基于VSG的风电机组与飞轮储能协调控制方法[J]. 太阳能学报, 2021, 42(8): 387-393.

李宇航. 飞轮储能高速永磁同步电机控制策略的研究[D]. 杭州: 杭州电子科技大学, 2023.

胡金明, 孙玉田, 李桂芬, 等. 大容量飞轮储能永磁电机控制策略研究[J]. 大电机技术, 2023(3): 20-27.

张建伟, 刘庆, 田桂珍, 等. 飞轮储能系统的充放电复合控制策略与应用研究[J]. 内蒙古工业大学学报(自然科学版), 2022, 41(5): 451-457.

周皓, 李军徽, 葛长兴, 等. 改善风电并网电能质量的飞轮储能系统能量管理系统设计[J]. 太阳能学报, 2021, 42(3): 105-113.

于苏杭, 郭文勇, 滕玉平, 等. 飞轮储能轴承结构和控制策略研究综述[J]. 储能科学与技术, 2021, 10(5): 1631-1642.

申向杰, 胡宏锦, 魏静波, 等. 一种直流侧电压调节的反作用飞轮直接转矩控制方法[J]. 航天控制, 2022, 40(5): 79-86.

LI X L, XUE Z W, YAN X Y, et al.Low-complexity multivector-based model predictive torque control for PMSM with voltage preselection[J]. IEEE transactions on power electronics, 2021, 36(10): 11726-11738.

LEI M Z, MENG K, FENG H N, et al.Flywheel energy storage controlled by model predictive control to achieve smooth short-term high-frequency wind power[J]. Journal of energy storage, 2023, 63: 106949.

GHANAATIAN M, LOTFIFARD S.Control of flywheel energy storage systems in the presence of uncertainties[J]. IEEE transactions on sustainable energy, 2019, 10(1): 36-45.

武鑫, 李洋涛, 马志勇, 等. 基于改进小波包分解的混合储能系统容量配置方法[J]. 太阳能学报, 2023, 44(8): 23-29.

GRIMM F, KOLAHIAN P, ZHANG Z B, et al.A sphere decoding algorithm for multistep sequential model-predictive control[J]. IEEE transactions on industry applications, 2021, 57(3): 2931-2940.

NORAMBUENA M, RODRIGUEZ J, ZHANG Z B, et al.A very simple strategy for high-quality performance of AC machines using model predictive control[J]. IEEE transactions on power electronics, 2019, 34(1): 794-800.

李祥林, 薛志伟, 阎学雨, 等. 基于电压矢量快速筛选的永磁同步电机三矢量模型预测转矩控制[J]. 电工技术学报, 2022, 37(7): 1666-1678.

XIAO D, ALAM K S, NORAMBUENA M, et al.Modified modulated model predictive control strategy for a grid-connected converter[J]. IEEE transactions on industrial electronics, 2021, 68(1): 575-585.

徐伟, 董定昊, 葛健, 等. 基于在线参数辨识补偿的直线感应电机低开关频率模型预测控制策略[J]. 电工技术学报, 2022, 37(16): 4116-4133.

姚绪梁, 黄乘齐, 王景芳, 等. 具有参数辨识功能的永磁同步电机双矢量模型预测电流控制[J]. 中国电机工程学报, 2023, 43(23): 9319-9330.

杨帆, 赵希梅, 金鸿雁, 等. 基于无参数PMSM的自适应有限集模型预测控制[J]. 中国电机工程学报, 2023, 43(22): 8935-8944.

ZHANG Y C, ZHANG B Y, YANG H T, et al.Generalized sequential model predictive control of IM drives with field-weakening ability[J]. IEEE transactions on power electronics, 2019, 34(9): 8944-8955.

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