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基于LESO的有源电力滤波器模型预测控制研究 被引量:3

Research on Model Predictive Control of Active Power Filter Based on LESO
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摘要 针对在采用LCL滤波器作为输出滤波器的T型三电平有源电力滤波器拓扑中,在应用模型预测控制时存在的对电压、电流传感器需求量大、因系统建模不准确而产生的误差等问题,提出一种基于线性扩张状态观测器的改进有源电力滤波器系统模型。该模型对每一个开关周期内滤波器电容支路电压进行观测,将得到的结果应用于逆变器输出电流计算和有源电力滤波器预测控制模型的建立,能够减少1/3的对传感器的需求,并将因LCL滤波器而引入的误差考虑在控制策略之内,有效提高有源电力滤波器的控制精度和对谐波及无功的补偿效果。在此基础上提出了以逆变器输出电压为控制对象的模型预测电压控制策略。基于Matlab/Simulink的仿真验证了所提模型的有效性,并通过实验验证了其可行性。 In view of the issue that in the type T three level active power filter topology with LCL filter as output filter,a large number of voltage and current sensors are needed and the error is generated due to inaccurate modeling of the system,a kind of improved APF system model based on the linear extended state observer(LESO)is proposed.The branch voltage of capacitive branch of the filter is observed in each switching cycle and the obtained results are applied to the calculation of the inverter output current and the establishment of the APF prediction model,which can reduce the demand for the sensors by 1/3.And the error introduced by the LCL filter is considered in the control strategy,which can effectively improve the control accuracy of APF and the compensation effect of harmonics and reactive power.On this basis,a model predictive voltage control strategy with inverter output voltage as the control object is proposed.The effectiveness of the proposed model is verified by the simulation of Matlab/Simulink and the feasibility is verified through experiments.
作者 蒋正荣 郝佳奇 JIANG Zhengrong;HAO Jiaqi(School of Electrical and Control Engineering,North China University of Technology,Beijing 100144,China)
出处 《电力电容器与无功补偿》 2023年第3期33-41,共9页 Power Capacitor & Reactive Power Compensation
关键词 线性扩张状态观测器 有源电力滤波器 模型预测电压控制 linear extended state observer active power filter model predictive voltage control
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