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将混合型有源电力滤波器应用于电网谐波抑制与无功功率补偿,在传统比例-积分(proportion-integration,PI)控制迭代学习算法基础上加入关于电流误差信号的微分项,提出一种新型比例-积分-微分(proportion-integration-differentiation,PID)控制迭代学习控制算法,并推导出了算法收敛的条件,该控制算法改进了传统迭代学习算法的不足,不依赖于初始电流输入信号的选取。采用一种改进的齐格勒-尼柯尔斯方法实现对PID控制器参数的优化,以提高系统的控制精度。仿真和实验结果证明了该控制方法的可行性和有效性,与传统迭代学习算法比较,其具有响应速度快、控制精度高和易于实现的特点。
The hybrid active power filter is applied to harmonic suppression and reactive power compensation in power system. Based on the traditional proportional-integration (PI) control iterative learning algorithm, a derivative term of current error signal is proposed. A novel proportional-integration-differentiation (PID) control iterative learning control algorithm is proposed and the convergence condition of the algorithm is deduced. The proposed control algorithm improves the deficiencies of the traditional iterative learning algorithm and does not depend on the initial current input signal Select. An improved Ziegler-Nichols method is used to optimize the parameters of PID controller to improve the control accuracy of the system. Simulation and experimental results show that the proposed control method is feasible and effective. Compared with the traditional iterative learning algorithm, it has the characteristics of fast response, high control precision and easy implementation.