基于卡尔曼滤波和模糊PI控制的快速转向后视镜性能改进

Dingqian Tan, Qinyong Zeng, Dazhong Wang, Chenlong Liang
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摘要

本文设计了一种基于模糊自适应PI和卡尔曼滤波的快速转向后视镜复合控制系统。基于MATLAB/Simulink软件仿真实验,将所设计的控制系统分别与传统PI控制器和数字低通滤波器进行了比较。实验结果表明,该方法大大提高了系统的自适应能力和抗噪声能力。滤波后的曲线也没有明显的相位滞后。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving the Performance of Fast Steering Mirror Based on Kalman Filter and Fuzzy PI Control
In this paper, a compound control system of fast steering mirror based on fuzzy adaptive PI and Kalman filter is designed. Based on MATLAB/Simulink software simulation experiment, the designed control system is compared with traditional PI controller and digital low-pass filter respectively. The experimental results show that it greatly improves the adaptive ability and anti noise ability of the system. The filtered curve also has no obvious phase lag.
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