2012
DOI: 10.1155/2012/670635
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Simulation and Experimental Studies on Perfect Tracking Optimal Control of an Electrohydraulic Actuator System

Abstract: This paper presents a perfect tracking optimal control for discrete-time nonminimum phase of electrohydraulic actuator (EHA) system by adopting a combination of feedback and feedforward controller. A linear-quadratic regulator (LQR) is firstly designed as a feedback controller, and a feedforward controller is then proposed to eliminate the phase error emerged by the LQR controller during the tracking control. The feedforward controller is developed by implementing the zero phase error tracking control (ZPETC) … Show more

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Cited by 16 publications
(8 citation statements)
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“…The displacement of cylinder actuator will be generated by utilizing the servo valve that will regulate the oil flow from the cylinder chamber to the hydraulic cylinder. The spring and damper that are attached to the mass will generate the counter force against cylinder actuator [37].…”
Section: Modelling Of Eha Systemmentioning
confidence: 99%
“…The displacement of cylinder actuator will be generated by utilizing the servo valve that will regulate the oil flow from the cylinder chamber to the hydraulic cylinder. The spring and damper that are attached to the mass will generate the counter force against cylinder actuator [37].…”
Section: Modelling Of Eha Systemmentioning
confidence: 99%
“…Other proposed position control methods such as the use of proportional integral differential control, pole placement technique, feedback linearization method to cancel nonlinearities in the system [11], "modified backstepping control with an iterative learning mechanism to perform adaptive tracking control tasks, and perfect tracking optimal control by adopting a combination of feedback and feedforward controller [12].…”
Section: Introductionmentioning
confidence: 99%
“…These applications required the highest performance of the electro-hydraulic actuator in term of positioning. The system inherently suffers from uncertainties and nonlinearities due to that many studies have been conducted recently, related to the EHA system problems to surmount thefise issues such as [2,3]. One of the ways was optimizing the system controller performance.…”
Section: Introductionmentioning
confidence: 99%