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A Robust LQG Servo Control Strategy of Shunt-Active Power Filter for Power Quality Enhancement

机译:并联有源滤波器的鲁棒LQG伺服控制策略,可提高电能质量

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摘要

This paper proposes a linear quadratic Gaussian (LQG) servo controller for the current control of shunt-active power filter (SAPF) operating under balanced and unbalanced supply voltages. This LQG controller is comprised of a LQ regulator and a Kalman filter (KF) that minimizes the error between the output currents and their variations. A feedback compensator is used in LQG servo controller that benefits an SAPF system by increasing tracking error reduction, gain stability, reducing amplitude distortion and sensitivity to external disturbances. A KF-based new reference current generation scheme is developed here to resolve the difficulty of tuning gains of a proportional integral controller and for avoiding the use of voltage sensors making it cost effective. Consequently, this reference scheme has self-capability of dc-link voltage regulation by adaptively estimating the peak value of source reference current with changing load conditions. The control algorithm is embedded in SAPF using a MATLAB/Simulink software environment. The effectiveness of the proposed LQG Servo algorithm is evaluated through comparison with an existing algorithm and then validated with experimental studies pursued using a dSPACE1104 computing platform. From the obtained experimental and simulation results, it is observed that the proposed control strategy exhibits superior performance in terms of robustness improvement and current harmonics mitigation under steady-state and dynamic load conditions, thus making it more effective for practical applications.
机译:本文提出了一种线性二次高斯(LQG)伺服控制器,用于在平衡和不平衡电源电压下工作的并联有源滤波器(SAPF)的电流控制。该LQG控制器由一个LQ调节器和一个卡尔曼滤波器(KF)组成,该卡尔曼滤波器可最大程度地减小输出电流及其变化之间的误差。 LQG伺服控制器中使用了一种反馈补偿器,它通过增加跟踪误差的减小,增益稳定性,减小幅度失真和对外部干扰的敏感性,从而使SAPF系统受益。这里开发了一种基于KF的新参考电流生成方案,以解决调整比例积分控制器的增益的难题,并避免使用电压传感器以使其具有成本效益。因此,该参考方案通过在负载条件变化的情况下自适应估计源参考电流的峰值,从而具有直流链路电压调节的自我能力。使用MATLAB / Simulink软件环境将控制算法嵌入到SAPF中。通过与现有算法进行比较来评估所提出的LQG伺服算法的有效性,然后通过使用dSPACE1104计算平台进行的实验研究对其进行验证。从获得的实验和仿真结果可以看出,所提出的控制策略在鲁棒性提高和稳态和动态负载条件下的电流谐波抑制方面均表现出优异的性能,从而使其在实际应用中更加有效。

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