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    Controller Design and Stability Analysis of Output Pressure Regulation in Electrohydrostatic Actuators

    Source: Journal of Dynamic Systems, Measurement, and Control:;2019:;volume( 141 ):;issue: 004::page 41008
    Author:
    Esfandiari, Masoumeh
    ,
    Sepehri, Nariman
    DOI: 10.1115/1.4042028
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In 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.
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      Controller Design and Stability Analysis of Output Pressure Regulation in Electrohydrostatic Actuators

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4256647
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    • Journal of Dynamic Systems, Measurement, and Control

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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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