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2010
DOI: 10.1155/2010/952928
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Fuzzy Sliding Mode Control of Plate Vibrations

Abstract: Abstract. In this paper, fuzzy logic is meshed with sliding mode control, in order to control vibrations of a cantilevered plate. Test plate is instrumented with a piezoelectric sensor patch and a piezoelectric actuator patch. Finite element method is used to obtain mathematical model of the test plate. A design approach of a sliding mode controller for linear systems with mismatched time-varying uncertainties is used in this paper. It is found that chattering around the sliding surface in the sliding mode con… Show more

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Cited by 6 publications
(5 citation statements)
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“…It is apparent that the alternate mode of light illumination is important. In this paper, light switching function is taken as the following linear function [27,32] s = λη mn +η mn (12) where λ is a positive constant, which is simply the slope of the switching surface. When the light illumination is alternatively varied with the sign of the switching function, the modal control force F c mn is rewritten as…”
Section: Sliding Surface Designmentioning
confidence: 99%
See 2 more Smart Citations
“…It is apparent that the alternate mode of light illumination is important. In this paper, light switching function is taken as the following linear function [27,32] s = λη mn +η mn (12) where λ is a positive constant, which is simply the slope of the switching surface. When the light illumination is alternatively varied with the sign of the switching function, the modal control force F c mn is rewritten as…”
Section: Sliding Surface Designmentioning
confidence: 99%
“…Chattering must be reduced for the controller to perform properly. This can be achieved by smoothing out the control discontinuity in a thin boundary layer [26,27,32]. In this paper, the following continuous function Δ(s) is used to approximate the sign function sign(s):…”
Section: Chattering Reductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Traditional control methods usually do not require accurate dynamic models, but in the presence of disturbances and dynamic uncertainties, these traditional control methods do not achieve the desired control performance. In order to improve the control performance of the system, several advanced control methods have been proposed, such as fuzzy control [4]- [6], neural network control [7]- [9], adaptive control [10]- [12] and sliding mode control [13]- [15], etc., but the effectiveness of each method has certain limitations. Among these control methods, SMC is robust to the uncertainties and disturbances of nonlinear systems, so SMC has been widely used.…”
Section: Introductionmentioning
confidence: 99%
“…Thus, various researchers developed fuzzy sliding mode control (FSMC) to regulate a piezoelectric system [50]. However, only the vibration variable is focused and a single-link manipulator in macroscopic scale is considered [51,52]. Moreover, the control variable is indirectly estimated using a state observer [53].…”
Section: Introductionmentioning
confidence: 99%