预测重复控制算法研究OA
Research on Predictive Repetitive Control Algorithms
针对电网电压畸变时有源电力滤波器(APF)系统的鲁棒性下降问题,提出了一种基于预测重复控制的解决方案.首先,建立了弱电网条件下的APF数学模型,并引入重复因子,构建了抑制电网电压畸变的模型.在此基础上,采用预测控制算法计算下一拍的控制向量,并通过修正电流参考的方法,提升了控制器的精度和动态响应速度.该方法从模型层面出发,抑制了电网电压畸变引起的模型参数突变问题,从而增强了预测控制器的鲁棒性.最后,通过仿真和实验验证了所提方法的有效性和实用性.
A solution based on predictive repetitive control was proposed to address the problem of reduced robustness in active power filter(APF)systems during grid voltage distortion.Firstly,a mathematical model of APF under weak grid conditions was established,and a repetitive factor was introduced to construct a model for suppressing grid voltage distortion.On this basis,a predictive control algorithm was used to calculate the control vector for the next step,and the accuracy and dynamic response speed of the controller were improved by modifying the current reference method.This method suppresses the sudden change of model parameters caused by grid voltage distortion from the model level,thus enhancing the robustness of the predictive controller.Finally,the effectiveness and practicality of the proposed method were verified through simulation and experiments.
赵博涵;谢积锦;李俊;刘斌;赖俊波
南昌航空大学 信息工程学院,江西 南昌 330063北部湾大学 机械与船舶海洋工程学院,广西 钦州 535011||广西海洋工程装备与技术重点实验室,广西 钦州 535011南昌航空大学 信息工程学院,江西 南昌 330063南昌航空大学 信息工程学院,江西 南昌 330063南昌航空大学 信息工程学院,江西 南昌 330063
信息技术与安全科学
有源电力滤波器预测重复控制电网畸变重复因子鲁棒性
active power filter(APF)predictive repetitive controlgrid distortionrepetitive factorrobustness
《电气传动》 2026 (9)
18-24,7
国家自然科学基金(61963030)自动化教指委教改项目(202137)
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