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contributor authorEsfandiari, Masoumeh
contributor authorSepehri, Nariman
date accessioned2019-03-17T11:05:33Z
date available2019-03-17T11:05:33Z
date copyright12/19/2018 12:00:00 AM
date issued2019
identifier issn0022-0434
identifier otherds_141_04_041008.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4256647
description abstractIn this paper, a robust fixed-gain linear output pressure controller is designed for a double-rod electrohydrostatic actuator using quantitative feedback theory (QFT). First, the family of frequency responses of the system is identified by applying an advanced form of fast Fourier transform on the open-loop input–output experimental data. This approach results in realistic frequency responses of the system, which prevents the generation of unnecessary large QFT templates, and consequently contributes to the design of a low-order QFT controller. The designed controller provides desired transient responses, desired tracking bandwidth, robust stability, and disturbance rejection for the closed-loop system. Experimental results confirm the desired performance met by the QFT controller. Then, the nonlinear stability of the closed-loop system is analyzed considering the friction and leakage, and in the presence of parametric uncertainties. For this analysis, Takagi–Sugeno (T–S) fuzzy modeling and its stability theory are employed. The T–S fuzzy model is derived for the closed-loop system and the stability conditions are presented as linear matrix inequalities (LMIs). LMIs are found feasible and thus the stability of the closed-loop system is proven for a wide range of parametric uncertainties and in the presence of friction and leakages.
publisherThe American Society of Mechanical Engineers (ASME)
titleController Design and Stability Analysis of Output Pressure Regulation in Electrohydrostatic Actuators
typeJournal Paper
journal volume141
journal issue4
journal titleJournal of Dynamic Systems, Measurement, and Control
identifier doi10.1115/1.4042028
journal fristpage41008
journal lastpage041008-10
treeJournal of Dynamic Systems, Measurement, and Control:;2019:;volume( 141 ):;issue: 004
contenttypeFulltext


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