YANG Qiang,ZHOU Yulin,ZHANG Gexiang,et al.Design of Improved Discrete Tracking Differentiator based on the Fastest Function[J].Journal of Chengdu University of Information Technology,2025,40(04):422-427.[doi:10.16836/j.cnki.jcuit.2025.04.002]
基于最速函数的改进离散跟踪微分器设计
- Title:
- Design of Improved Discrete Tracking Differentiator based on the Fastest Function
- 文章编号:
- 2096-1618(2025)04-0422-06
- Keywords:
- fastest tracking differentiator; faln function filter; phase advance compensation structure
- 分类号:
- TP273.2
- 文献标志码:
- A
- 摘要:
- 传统的离散跟踪微分器如最速跟踪微分器,其内部所涉及对噪声信号的处理效果并不明显,且不能同时实现良好的相位补偿以及滤波效果。因此,在最速跟踪微分器的基础上于特定位置引入共计3个faln函数滤波器,同时使用相位超前补偿结构实现对跟踪信号以及微分信号相位、幅值的补偿,并基于simulink完成跟踪微分器模型构建,以验证其具有的相位补偿和滤波效果。仿真结果表明所设计的改进fhan跟踪微分器与fst非线性跟踪微分器相比,在跟踪信号质量上相对提升6.842%,在微分信号质量上相对提升92.0%。
- Abstract:
- The traditional discrete tracking differentiator,such as the fastest tracking differentiator,has no obvious processing effect on the noise signal,and can not achieve good phase compensation and filtering effect at the same time.Therefore,this paper will introduce a total of three faln function filters at specific locations on the basis of the fastest tracking differentiator and use phase advancer(PA)to compensate the phase and amplitude of tracking signals and differential signals and complete the construction of tracking differentiator model based on simulink.To verify the effect of phase compensation and filtering.The simulation results show that the improved than tracking differentiator designed in this paper has a good improvement in filtering and phase compensation capabilities compared with the fast nonlinear tracking differentiator,the tracking signal quality is improved by6.842% and the differential signal quality is improved by 92.0%.
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备注/Memo
收稿日期:2023-11-16
基金项目:四川省重点研发资助项目(2023NSFSC1985、2023YFG0046); 人工智能四川省重点实验室开放基金资助项目(2024RYY09)
通信作者:张葛祥.E-mail: zhgxdylan@126.com