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Performance Enhancement of Shunt Active Power Filter Using a Kalman Filter-Based H∞ Control Strategy

机译:基于卡尔曼滤波器的H∞控制策略提高并联有源电力滤波器的性能

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摘要

This paper proposes a Kalman filter (KF)-based H∞ control scheme for a three-phase shunt active power filter (SAPF) system. For the current control loop, a H∞ controller is designed with a mixed sensitivity approach for achieving stability and high-disturbance rejection in the SAPF system. A new current reference scheme is also proposed that employs KF to avoid synchronization circuit and proportional integral (PI) controller loop resulting in a reliable and cost-effective SAPF system. This reference scheme can self-regulate the dc-link voltage by a fast and adaptive estimation of the source reference current with power system perturbations raised in source or load sides. The efficacy of the proposed KF-H∞ control algorithm is evaluated through comparison with an existing PI and PI plus vector PI (PI-PIVPI) algorithm and then validated with experimental studies pursued using a dSPACE1104. From the obtained experimental results, it is observed that the proposed SAPF significantly outperforms the existing PI-PIVPI in terms of exhibiting robustness to modeling uncertainties and insensitivity to grid perturbations such as harmonics, measurement noise, and phase angle jump. Thus, the power quality improvement is achieved in terms of perfect current harmonics cancellation as well as power factor improvement.
机译:针对三相并联有源电力滤波器(SAPF),提出了一种基于卡尔曼滤波器(KF)的H∞控制方案。对于电流控制回路,使用混合灵敏度方法设计了H∞控制器,以在SAPF系统中实现稳定性和高干扰抑制。还提出了一种新的电流参考方案,该方案采用KF避免了同步电路和比例积分(PI)控制器环路,从而形成了可靠且具有成本效益的SAPF系统。该参考方案可以通过对源参考电流进行快速且自适应的估计来自我调节直流母线电压,而在电源或负载侧会引起电源系统扰动。通过与现有的PI和PI加矢量PI(PI-PIVPI)算法进行比较来评估所提出的KF-H∞控制算法的有效性,然后通过使用dSPACE1104进行的实验研究对其进行验证。从获得的实验结果可以看出,在显示对建模不确定性的鲁棒性和对电网扰动(如谐波,测量噪声和相角跳变)的不敏感性方面,拟议的SAPF明显优于现有的PI-PIVPI。因此,就完美的电流谐波消除以及功率因数的改善而言,实现了电能质量的改善。

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