2015
DOI: 10.1155/2015/651601
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A Nonlinear Exact Disturbance Observer Inspired by Sliding Mode Techniques

Abstract: Inspired by sliding mode techniques, a nonlinear exact disturbance observer is proposed. The disturbance and its derivatives up to the second order are assumed to be bounded. However, the bounds of the disturbance and its derivatives are unknown, and they are adaptively estimated online during the observation of the disturbances. The exact convergence of the disturbance observer to the genuine disturbance is assured theoretically. The convergence speed of the disturbance estimation error is controlled by desig… Show more

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Cited by 2 publications
(5 citation statements)
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“…One is the output embedding method (Chen, 2015) in which the state ω in J0 -1ω×J0ω is replaced with the output y directly in the design of SMDO. Although the nonlinear item J0 -1ω×J0ω can be removed from the error dynamics of SMDO without considering the measurement noise, this method will make the effects of the measurement noise heavier since the difference between J0 -1ω×J0ω and J0 -1y×J0y includes more complicated noise properties if the measurement noise is considered in the output y .…”
Section: Stdomentioning
confidence: 99%
See 4 more Smart Citations
“…One is the output embedding method (Chen, 2015) in which the state ω in J0 -1ω×J0ω is replaced with the output y directly in the design of SMDO. Although the nonlinear item J0 -1ω×J0ω can be removed from the error dynamics of SMDO without considering the measurement noise, this method will make the effects of the measurement noise heavier since the difference between J0 -1ω×J0ω and J0 -1y×J0y includes more complicated noise properties if the measurement noise is considered in the output y .…”
Section: Stdomentioning
confidence: 99%
“…Compared with the output embedding method in Chen (2015), the proposed STDO can avoid the problem caused by the nonlinear item J0 -1ω×J0ω by turning the nonlinear system equation (8) into a linear equation (11). Hence, STDO will not bring more complicated noise by replacing ω with y directly, which avoids the shortcoming of the output embedding method.…”
Section: Stdomentioning
confidence: 99%
See 3 more Smart Citations