基于自适应预测算法的APF无差拍控制方法  

A deadbeat control strategy based on self-adaptive prediction algorithm for APF

作　　者：李锦彬[1] 黄靖[1] 

机构地区：[1]福建工程学院信息科学与工程学院,福建福州350118

出　　处：《福建工程学院学报》2015年第6期573-577,共5页Journal of Fujian University of Technology

基　　金：福建省教育厅基金项目(JA12229;JA13228)

摘　　要：有源电力滤波器(active power filter,APF)补偿电流跟踪控制要求具有较高的稳态精度和较快的动态响应速度。文章将自适应预测滤波算法应用于无差拍控制,实现APF补偿电流精确控制。根据APF时域数学模型,推导滤波系统的无差拍控制离散方程;通过自适应(finite impulse response filter,FIR)预测滤波算法实现基波电流预测,消除控制系统的计算延迟,给无差拍控制提供所需的指令电流预测值。对预测算法进行MATLAB仿真,验证预测算法的稳态精度和动态跟踪快速性;实验室样机验证控制实验结果证明所提出的控制策略有效的,具有一定的实用性。The compensation current tracking control for active power filter （APF） requires high steady precision and dynamic response performance. In this paper, self-adaptive prediction algo- rithm was employed in deadbeat control to realize the precise control of compensation current of APF. Based on the APF time-domain mathematical model, the deadbeat control discreet equation used in the filter system was deduced. To eliminate the calculation delay of the control system to re- alize the beat control, a self-adaptive prediction FIR filter was introduced to realize the fundamental wave current forecast. Simulation results of the prediction algorithm verify the steady precision and speedy dynamic tracking of the prediction algorithm and the practicability and effectiveness of the proposed algorithm.

关 键 词：有源电力滤波器 自适应预测算法 无差拍控制 

分 类 号：TM993[电气工程—电力电子与电力传动]