2010
DOI: 10.1590/s1678-58782010000100001
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An adaptive fuzzy dead-zone compensation scheme and its application to electro-hydraulic systems

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Cited by 11 publications
(9 citation statements)
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“…Especially in the case when big flow rate valve is needed, the valve should be chosen big enough, which increases the overlap area, thus the dead-zone nonlinearity increases. A spool displacement model is adopted [10,20,21] , as shown in Figure 2.…”
Section: System Modelingmentioning
confidence: 99%
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“…Especially in the case when big flow rate valve is needed, the valve should be chosen big enough, which increases the overlap area, thus the dead-zone nonlinearity increases. A spool displacement model is adopted [10,20,21] , as shown in Figure 2.…”
Section: System Modelingmentioning
confidence: 99%
“…Sliding mode variable structure control is shown to be an effective way to reject disturbance in electro-hydraulic systems [9] . Furthermore, adaptive sliding mode control [10] can deal with modeling error and nonlinearities, but the fast switching on the sliding surface may cause chattering which can degrade the closed-loop performance. A lot of methods [11,12] are proposed to solve the chattering problem but the common point among these is that tracking precision is compromised when chattering is suppressed.…”
Section: Introductionmentioning
confidence: 99%
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“…Many researchers employed many methods to improve the performances of control systems with dead-zone inputs. The most common approaches are adaptive schemes [3][4][5][6], fuzzy systems [7][8][9][10][11][12][13][14], neural networks [15][16][17][18], and sliding mode control [19][20][21][22]. In order to compensate the negative effects of the dead-zone nonlinearity, an inverse dead-zone as a method is used.…”
Section: Introductionmentioning
confidence: 99%
“…In the previous studies, the most common varied parameter by the researchers is the supply pressure [7][8][9][10][11][12][13][14][15][16][17][18][19]. It is well known that, supply pressure plays vital role in the dynamic of an EHA system.…”
Section: Introductionmentioning
confidence: 99%