JRM Vol.21 No.5 pp. 590-596
doi: 10.20965/jrm.2009.p0590


Velocity and Acceleration Estimation by a Nonlinear Filter Based on Sliding Mode and Application to Control System

Takanori Emaru, Kazuo Imagawa, Yohei Hoshino, and Yukinori Kobayashi

Graduate School of Engineering, Hokkaido University, N13W8, Kita-ku, Sapporo, Hokkaido, 060-8628 Japan

May 15, 2009
August 20, 2009
October 20, 2009
nonlinear filter, sliding mode, manipulator, nonlinear dynamics, attitude variation
Proportional-integral-derivative (PID) control commonly used to operate mechanical systems has limited performance accuracy due to the influence of gravity, friction, and joint interaction caused by modeling error. Digital acceleration control is robust against modeling errors and superior to PID control, but the need for positioning, velocity, and acceleration knowledge constrains the development of digital acceleration control. To overcome this limitation, this report introduces the system which estimates the smoothed and differential values using sliding mode system (ESDS). Using ESDS enables digital acceleration control without increasing the number of sensors over that used in PID control. This paper focuses on the influence of gravity because digital acceleration control can, in principle, cancel its influence. This controls mechanical systems appropriately under attitude variations. Results of proposed control are demonstrated using 1- and 2-link manipulators.
Cite this article as:
T. Emaru, K. Imagawa, Y. Hoshino, and Y. Kobayashi, “Velocity and Acceleration Estimation by a Nonlinear Filter Based on Sliding Mode and Application to Control System,” J. Robot. Mechatron., Vol.21 No.5, pp. 590-596, 2009.
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