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作 者:肖强晖[1] 张雨爽 罗朝旭 程谆 XIAO Qianghui;ZHANG Yushuang;LUO Zhaoxu;CHENG Zhun(College of Electrical and Information Engineering,Hunan University of Technology,Zhuzhou 412007,China;Hunan Railway Professional Technology College,Zhuzhou 412001,China)
机构地区:[1]湖南工业大学电气与信息工程学院,湖南株洲412007 [2]湖南铁道职业技术学院,湖南株洲412001
出 处:《湖南电力》2024年第5期29-36,共8页Hunan Electric Power
基 金:国家自然科学基金项目(52207205)。
摘 要:针对永磁同步电机驱动系统传统的三矢量模型预测电流控制策略参数鲁棒性差的问题,提出一种基于时间序列的改进型三矢量无模型预测电流控制策略,以消除参数失配的影响,提高系统的鲁棒性。首先,建立时间序列数据驱动模型,将输入输出数据拟合为离散传递函数,并结合递归最小二乘法在线估计模型待定系数,预测所需变量。此外,对矢量扇区进行重新分类,以优化三矢量组合的选择过程。引入矢量占空比直接计算方法,抑制电机参数入口对占空比计算环节的不确定性影响,进一步提高系统的鲁棒性。最后,仿真和实验结果表明,所提出的策略能有效提高模型参数的鲁棒性,dq轴电流纹波减小,电机参数变化引起的干扰得到有效抑制。Aiming at the issue of poor parameter robustness of the conventional three-vector model predictive current control strategy for permanent magnet synchronous motor drive systems,an improved three-vector model-free predictive current control strategy based on time series is proposed to eliminate the effect of parameter mismatch and enhance the robustness of the system.To begin with,a time-series data-driven model is established to fit the input-output data as a discrete transfer function and combined with the recursive least squares method to estimate the model undetermined coefficients online and predict the required variables.In addition,the vector sector is reclassified to optimize the selection process of the three-vector combination.Moreover,the vector duty cycle direct calculation method is introduced to suppress the uncertainty effect of motor parameter ingress on the duty cycle calculation link,which further improves the system robustness.Finally,the simulation and experimental results show that the proposed strategy can effectively improve the model parameter robustness.The dq-axis current ripple is reduced,and the disturbances caused by the variation of motor parameters can be effectively suppressed.
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