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基于周期信号的迭代学习控制在逆变器中的应用
引用本文:孟琦,侯忠生.基于周期信号的迭代学习控制在逆变器中的应用[J].控制理论与应用,2016,33(3):289-294.
作者姓名:孟琦  侯忠生
作者单位:北京交通大学电子信息工程学院先进控制系统研究所,北京交通大学电子信息工程学院先进控制系统研究所
基金项目:国家自然科学基金项目(61120106009, 61433002)资助.
摘    要:提出一种基于周期信号的迭代学习控制方法,并将其应用于电力逆变器,分析了跟踪误差沿迭代方向的收敛条件,给出了控制律的时域表达形式以及参数的确定方法.由于该方法理论上可实现跟踪误差收敛到零,因而使逆变器输出电压跟踪精度大幅提高.通过MATLAB/Simulink仿真,该方法的有效性得到验证;此外,与传统PID控制相比,仿真结果显示出该方法具有较好的负载适应能力以及优越的跟踪性能.

关 键 词:迭代学习控制    逆变器    周期信号    数据驱动控制
收稿时间:4/1/2015 12:00:00 AM
修稿时间:2015/9/24 0:00:00

A novel periodic-signal-based iterative learning control method and its application to inverter system
MENG Qi and HOU Zhong-sheng.A novel periodic-signal-based iterative learning control method and its application to inverter system[J].Control Theory & Applications,2016,33(3):289-294.
Authors:MENG Qi and HOU Zhong-sheng
Affiliation:Advanced Control System Laboratory, School of Electronic and Information Engineering,Beijing Jiaotong university,Advanced Control System Laboratory, School of Electronic and Information Engineering,Beijing Jiaotong university
Abstract:A method of periodic-signal-based iterative learning control with application to inverter system is presented; the convergence condition for tracking error along the iteration axis is analyzed. The control law in time-domain and the parameter tuning method are developed. Since the tracking error can converge to zero when using this method, the accuracy of the inverter output voltage will be theoretically improved greatly. The effectiveness of this method is validated via the simulation implemented on MATLAB platform. In comparison with the PID control, simulation results show that the proposed method provides higher performance on load adaptability and output voltage tracking.
Keywords:iterative learning control  inverter  periodic signal  data-driven control
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