TY - JOUR
T1 - Improving velocity feedback for position control by using a discrete-time sliding mode filtering with adaptive windowing
AU - Jin, Shanhai
AU - Kikuuwe, Ryo
AU - Yamamoto, Motoji
N1 - Funding Information:
This work was supported in part by Grant-in-Aid for Scientific Research (24360098) from Japan Society for the Promotion of Science (JSPS). The authors are grateful to Dr Vincent Acary, IN-RIA Grenoble Rhône-Alpes, who raised a question on the function gsgn() in the previous papers [14,20].
PY - 2014
Y1 - 2014
N2 - In position control of mechatronic devices, velocity feedback is important for injecting additional damping to avoid low-frequency fluctuation around desired trajectories. In practice, velocity signal is often obtained by finite difference of position signal from an optical encoder. However, such a numerical differentiation produces high-frequency noise by magnifying quantization error contained in the position signal. As a result, the controller may produce high-frequency vibration. This paper presents a new noise-reduction discrete-time filter based on sliding mode and adaptive windowing. The presented filter is an improved version of a sliding mode filter by Jin et al. (2012), with including adaptive windowing of which the window size is determined in a similar way to that of a discrete-time adaptive windowing differentiator by Janabi-Sharifi et al. (2000). The presented filter is then applied to a position control of a mechatronic device for improving velocity feedback. Experimental results show that the presented filter provides better velocity feedback than its previous version, Janabi-Sharifi et al.s differentiator, and combinations of these two filters.
AB - In position control of mechatronic devices, velocity feedback is important for injecting additional damping to avoid low-frequency fluctuation around desired trajectories. In practice, velocity signal is often obtained by finite difference of position signal from an optical encoder. However, such a numerical differentiation produces high-frequency noise by magnifying quantization error contained in the position signal. As a result, the controller may produce high-frequency vibration. This paper presents a new noise-reduction discrete-time filter based on sliding mode and adaptive windowing. The presented filter is an improved version of a sliding mode filter by Jin et al. (2012), with including adaptive windowing of which the window size is determined in a similar way to that of a discrete-time adaptive windowing differentiator by Janabi-Sharifi et al. (2000). The presented filter is then applied to a position control of a mechatronic device for improving velocity feedback. Experimental results show that the presented filter provides better velocity feedback than its previous version, Janabi-Sharifi et al.s differentiator, and combinations of these two filters.
UR - http://www.scopus.com/inward/record.url?scp=84903777866&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84903777866&partnerID=8YFLogxK
U2 - 10.1080/01691864.2014.899161
DO - 10.1080/01691864.2014.899161
M3 - Article
AN - SCOPUS:84903777866
SN - 0169-1864
VL - 28
SP - 943
EP - 953
JO - Advanced Robotics
JF - Advanced Robotics
IS - 14
ER -