Resonance suppression of two-mass drive systems considering compensation of anti-resonance character

被引:0
作者
Chen, Tianhang [1 ]
Song, Bao [1 ]
Tang, Xiaoqi [1 ]
Jin, Jian [1 ]
Zhou, Xiangdong [1 ]
机构
[1] Huazhong Univ Sci Technol, Natl NC Syst Engn Res Ctr, 1037 Luoyu Rd, Wuhan 430074, Peoples R China
来源
2016 12TH IEEE/ASME INTERNATIONAL CONFERENCE ON MECHATRONIC AND EMBEDDED SYSTEMS AND APPLICATIONS (MESA) | 2016年
关键词
two-mass drive systems; model identification; resonance frequency; anti-resonance frequency; notch filter;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper provides systematic analysis and controller design methods for high-performance two-mass drive systems. A non-parametric method is introduced to identify dynamics of two-mass drive system, especially the resonance and anti-resonance frequencies. Compared with the conventional Fast Fourier Transform (FFT) approach, the non-parametric method can easily recognize anti-resonance frequency and tolerate lower Signal-to-Noise Ratio (SNR) of measured signals. Two notch filters are tuned using the identified characters to suppress resonance, and together with simple Proportional-Integral (PI) controllers to improve the position tracking performance. Simulation and experimental results are presented to demonstrate performance improvement obtained by the proposed method.
引用
收藏
页数:6
相关论文
共 7 条
[1]  
Ellis George, 2001, OBSERVERS CONTROL SY, P227
[2]  
Li N., 2015, CONTR DEC C CCDC 201
[3]  
Pintelon R., 2001, APPL SCI J ENG TECHN, V18, P85
[4]  
SCHMIDT P, 1999, IEEE IAS ANN M OCT, P1730
[5]   PI Control, PI-Based State Space Control, and Model-Based Predictive Control for Drive Systems With Elastically Coupled Loads-A Comparative Study [J].
Thomsen, Soenke ;
Hoffmann, Nils ;
Fuchs, Friedrich Wilhelm .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2011, 58 (08) :3647-3657
[6]   Detection and reduction of middle frequency resonance for an industrial servo [J].
Xu Jinbang ;
Wang Wenyu ;
Shen Anwen ;
Zhou Yu .
CONTROL ENGINEERING PRACTICE, 2013, 21 (07) :899-907
[7]  
Yan X., 2014, J INTELLIGENT ROBOTI, V79, P475