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跟踪微分器改进算法的应用分析
引用本文:李宏扬.跟踪微分器改进算法的应用分析[J].吉林大学学报(信息科学版),2021,39(1):45-50.
作者姓名:李宏扬
作者单位:陆军装甲兵学院士官学校,长春130000
摘    要:为克服传统的跟踪微分器在进入稳态后出现的高频振颤现象,引入了一个新的综合控制函数.利用Matlab/Simulink软件中的S-函数对跟踪微分器进行了建模、封装,通过仿真技术进行了实验分析与研究.数值仿真结果表明,应用新的综合控制函数的跟踪微分器,不但能快速无超调地跟踪输入信号,而且消除了输入信号的微分稳态时的高频振颤;对混入噪声的信号,它还能有效地抑制噪声,还原初始信号,具有良好的滤波作用.

关 键 词:跟踪微分器  S-函数  综合控制函数  滤波
收稿时间:2020-06-06

Application Analysis of Improved Tracking Differentiator Algorithm
LI Hongyang.Application Analysis of Improved Tracking Differentiator Algorithm[J].Journal of Jilin University:Information Sci Ed,2021,39(1):45-50.
Authors:LI Hongyang
Institution:Army Academy of Armored Forces, Changchun 130000, China
Abstract:The traditional tracking differentiator will vibrate at high frequency after entering steady state, in order to overcome this phenomenon, an improved algorithm is introduced. The tracking differentiator is modeled and packaged by using S-Function in Matlab / Simulink software, then the simulation experiment analysis is done. Numerical simulation results show that the tracking differentiator using the new comprehensive control function can track the input signal without overshoot and eliminate the high frequency vibration of the differential signal.For the mixed noise signal, it can effectively suppress the noise, restore the initial signal, and has a goodfiltering effect.
Keywords:tracking differentiator  S-function  comprehensive control function  wave filtering  
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