TY - GEN
T1 - Parabolic Sliding Mode Filtering with Feed-Forward Compensation
AU - Jin, Shanhai
AU - Wang, Xiaodan
AU - Jin, Yonggao
AU - Xiong, Xiaogang
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/18
Y1 - 2018/12/18
N2 - In motion control systems, feedback signals are often corrupted by noise because of environmental disturbances and measurement errors. Thus, filters are necessary to remove noise to obtain reliable signals. This paper proposes a new sliding mode filter that possesses a parabolic-shaped sliding surface. The proposed filter is an extension of a Jin et al.'s parabolic sliding mode filter by including feed-forward compensating terms for accelerating the tracking speed between the output and the input. Its discrete-time algorithm is developed by using the backward Euler discretization, and its discrete-time implementation does not produce chattering. A numerical example is executed for validating the effectiveness and advantage of the proposed filter.
AB - In motion control systems, feedback signals are often corrupted by noise because of environmental disturbances and measurement errors. Thus, filters are necessary to remove noise to obtain reliable signals. This paper proposes a new sliding mode filter that possesses a parabolic-shaped sliding surface. The proposed filter is an extension of a Jin et al.'s parabolic sliding mode filter by including feed-forward compensating terms for accelerating the tracking speed between the output and the input. Its discrete-time algorithm is developed by using the backward Euler discretization, and its discrete-time implementation does not produce chattering. A numerical example is executed for validating the effectiveness and advantage of the proposed filter.
UR - https://www.scopus.com/pages/publications/85060796351
U2 - 10.1109/ICARCV.2018.8581378
DO - 10.1109/ICARCV.2018.8581378
M3 - 会议稿件
AN - SCOPUS:85060796351
T3 - 2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018
SP - 1799
EP - 1804
BT - 2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018
Y2 - 18 November 2018 through 21 November 2018
ER -