基于仿射超局部的交流电机无模型预测控制策略  

Affine Ultra-Local-based Model-Free Predictive Control Strategy on AC Motor Drives

作　　者：魏尧 汪凤翔 WEI Yao;WANG Fengxiang(National and Local Joint Engineering Research Center for Electrical Drives and Power Electronics(Quanzhou Institute of Equipment Manufacturing,Haixi Institutes,Chinese Academy of Science),Jinjiang Fujian 362216)

机构地区：[1]电机驱动与功率电子国家地方联合工程研究中心(中国科学院海西研究院泉州装备制造研究中心),福建晋江362216

出　　处：《东北电力大学学报》2024年第3期47-54,共8页Journal of Northeast Electric Power University

基　　金：国家自然科学基金(52277070);中国博士后科学基金(2023M730598)。

摘　　要：在复杂工况和运动状态下,交流电机系统因磁场耦合、铁心饱和等因素导致物理参数非线性时变,电机控制性能和系统鲁棒性弱化。针对上述问题,无模型预测控制策略利用交流电机变量之间的内在关系,构建数据驱动模型,从而摆脱对物理参数的依赖,并消除参数失配的影响。文中结合永磁同步电机驱动系统,提出一种仿射超局部模型,并设计无模型预测电流控制策略。该方法采用最小二乘算法对仿射算子进行在线估计,并设计状态补偿机制,通过ε-近似思想选取状态补偿增益,以实时反映系统运动特性。方法稳定性通过系统零极点分析进行验证,并通过实验验证对其有效性以及在模型适配性、电流质量和系统鲁棒性等优势进行验证。In complex operating conditions and motion states,the AC motor system has nonlinear time-varying physical parameters due to factors such as magnetic field coupling and iron core saturation,which weakens the motor control performance and system robustness.To address the above issues,the model-free predictive control strategy utilizes the inherent relationship between variables of the AC motor to construct a data-driven model,thereby eliminating the dependence on physical parameters and eliminating the impact of parameter mismatches.In this paper,combined with the permanent magnet synchronous motordrives,an affine ultra-local model is designed,and a model-free predictive current control strategy is designed.This method uses the least squares algorithmto estimate affine operators online and designs a state compensation mechanism.State compensation gains are selected through theε-approximation consideration to reflect the system motion characteristics in real time.The stability of the method is verified through the analysis of system zeros and poles,and its effectiveness,model adaptability,current quality,and system robustness are verified through experiments.

关 键 词：交流电机系统 无模型预测控制 仿射超局部模型 ε-估计思想 数据驱动模型 

分 类 号：TM30[电气工程—电机]