2008
DOI: 10.1016/j.conengprac.2007.08.005
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Fuzzy controller design for synchronous motion in a dual-cylinder electro-hydraulic system

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Cited by 74 publications
(35 citation statements)
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“…In [27], an optimally tuned nonlinear PID controller for hydraulic systems was designed and an estimated process model was used for tuning optimal PID parameters in the case of variable process parameters. In [28], a fuzzy controller system, consisting of one fuzzy coordination controller and one fuzzy tracking controller, was proposed to achieve a synchronous positioning objective for a dual-cylinder electrohydraulic lifting system with unbalanced loading, system uncertainties, and disturbances. In [29], a compound controller incorporating both PID control and wavelet network control was presented for online, realtime control by dynamics compensation.…”
Section: Literature Reviewmentioning
confidence: 99%
“…In [27], an optimally tuned nonlinear PID controller for hydraulic systems was designed and an estimated process model was used for tuning optimal PID parameters in the case of variable process parameters. In [28], a fuzzy controller system, consisting of one fuzzy coordination controller and one fuzzy tracking controller, was proposed to achieve a synchronous positioning objective for a dual-cylinder electrohydraulic lifting system with unbalanced loading, system uncertainties, and disturbances. In [29], a compound controller incorporating both PID control and wavelet network control was presented for online, realtime control by dynamics compensation.…”
Section: Literature Reviewmentioning
confidence: 99%
“…It has been verified that FLC can improve the response of system in terms of the tracking response and transient response [6,7]. FLC is also adopted to the synchronization motion controller [1,4,12,14,19,25]. Chen [4] proposed an integrated FLC to achieve a synchronous positioning objective for a dualcylinder electro-hydraulic lifting system.…”
Section: Introductionmentioning
confidence: 99%
“…FLC is also adopted to the synchronization motion controller [1,4,12,14,19,25]. Chen [4] proposed an integrated FLC to achieve a synchronous positioning objective for a dualcylinder electro-hydraulic lifting system. A. Rahideh [1] designed a fuzzy PID controller to solve nonlinearity of twin rotor MIMO system.…”
Section: Introductionmentioning
confidence: 99%
“…Sun and Chiu developed a nonlinear control algorithm to address the motion synchronization of a dual-cylinder electrohydraulic lifting system [23]. Chen et al proposed an integrated fuzzy controller design that consisted of a pair of cylinder controllers and a motion synchronization controller for synchronous motion and positioning in a hydraulic lifting system [24]. The proposed fuzzy control design effectively handled complex, ill-defined, and uncertain systems.…”
Section: Introductionmentioning
confidence: 99%
“…To improve synchronous control precision, the control algorithms are also further studied by researchers, such as traditional PID control, adaptive feed forward control, ∞ control, iterative learning control, sliding mode control, fuzzy control, and neural network control [10,11,[17][18][19][20][21][22][23][24][25]. Sun and Chiu developed a nonlinear control algorithm to address the motion synchronization of a dual-cylinder electrohydraulic lifting system [23].…”
Section: Introductionmentioning
confidence: 99%