2014
DOI: 10.1155/2014/769192
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Enhanced Sliding Mode Control with CEMF Compensation for Tracking Control of a Piezoactuated Flexure-Based Mechanism

Abstract: This paper proposes an enhanced sliding mode controller (SMC) for piezoelectric actuator based flexural mechanism (PABFM) to track desired motion trajectories. First, based on the variable structural control approach, the proposed controller is established to accommodate parameter uncertainties, nonlinearity, and unmodelled disturbances. Because the traditional sliding-mode control cannot deal with mismatched disturbances effectively, a hysteresis counterelectromotive force (CEMF) model is proposed to describe… Show more

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Cited by 4 publications
(2 citation statements)
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References 33 publications
(32 reference statements)
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“…where a 3 , a 2 , and a 1 are constants. Certainly, except for the P-I model, other hysteresis models, for instance, the Preisach model, 3 the polynomial model, 3 the Maxwell model, 5 the Bouc-Wen model, 34 the Duhem model, 34,35 and the Dahl, 36 all can be applied in the general electromechanical coupling model to describe the hysteresis nonlinearity for piezoelectric positioning systems.…”
Section: G(s)mentioning
confidence: 99%
See 1 more Smart Citation
“…where a 3 , a 2 , and a 1 are constants. Certainly, except for the P-I model, other hysteresis models, for instance, the Preisach model, 3 the polynomial model, 3 the Maxwell model, 5 the Bouc-Wen model, 34 the Duhem model, 34,35 and the Dahl, 36 all can be applied in the general electromechanical coupling model to describe the hysteresis nonlinearity for piezoelectric positioning systems.…”
Section: G(s)mentioning
confidence: 99%
“…An important approach is to construct inverse hysteresis model to compensate the hysteresis effect, 32 and the feed-compensation control strategies should be applied to the positioning system. 33,34,36 Certainly, other control method can also be utilized 35 and it will be the focus of our future research work.…”
Section: Parameter Identification Of Hysteresis Nonlinear Part With Improved Pso Algorithmmentioning
confidence: 99%