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    Development of a Cross-Coupled Robust Controller for a Multi-Axis Micromachining System

    Source: Journal of Dynamic Systems, Measurement, and Control:;2018:;volume( 140 ):;issue: 012::page 124501
    Author:
    Karagoz, Mumtazcan
    ,
    Cakmakci, Melih
    DOI: 10.1115/1.4040443
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In the current era of miniaturization for complex, ubiquitous, and energy efficient systems, micromanufacturing had become one of the most popular fields for engineering development. This paper introduces a modular robust cross-coupled controller design structure applied to a three axis micromachining system that can be extended to more axis systems and configurations. In order to develop a robust controller that can withstand the disturbances due to tool–workpiece interactions, a dynamic model of the whole system is needed. Developing control-oriented models for micromachining systems can be challenging. Using the sum of sines identification input, essential nonlinearities including the effects of assembly and slider orientation are included. Verification data show that these transfer function models represent the physical system satisfactorily while avoiding an over-fit. Using the transfer functions from the identified model, a controller structure with robust axis controllers with cross-coupled control (CCC) are developed and fine-tuned with simulations. Machining experiments are also done in order to compare the performance of the proportional-integral-derivative control design, an adaptive robust controller (ARC, both from earlier work in the literature) and the new H∞ robust controller. According to results of experiments, the new robust controller showed the best tracking and contouring performance with improved surface quality due to reduced oscillations.
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      Development of a Cross-Coupled Robust Controller for a Multi-Axis Micromachining System

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    contributor authorKaragoz, Mumtazcan
    contributor authorCakmakci, Melih
    date accessioned2019-02-28T11:13:05Z
    date available2019-02-28T11:13:05Z
    date copyright7/2/2018 12:00:00 AM
    date issued2018
    identifier issn0022-0434
    identifier otherds_140_12_124501.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4253950
    description abstractIn the current era of miniaturization for complex, ubiquitous, and energy efficient systems, micromanufacturing had become one of the most popular fields for engineering development. This paper introduces a modular robust cross-coupled controller design structure applied to a three axis micromachining system that can be extended to more axis systems and configurations. In order to develop a robust controller that can withstand the disturbances due to tool–workpiece interactions, a dynamic model of the whole system is needed. Developing control-oriented models for micromachining systems can be challenging. Using the sum of sines identification input, essential nonlinearities including the effects of assembly and slider orientation are included. Verification data show that these transfer function models represent the physical system satisfactorily while avoiding an over-fit. Using the transfer functions from the identified model, a controller structure with robust axis controllers with cross-coupled control (CCC) are developed and fine-tuned with simulations. Machining experiments are also done in order to compare the performance of the proportional-integral-derivative control design, an adaptive robust controller (ARC, both from earlier work in the literature) and the new H∞ robust controller. According to results of experiments, the new robust controller showed the best tracking and contouring performance with improved surface quality due to reduced oscillations.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleDevelopment of a Cross-Coupled Robust Controller for a Multi-Axis Micromachining System
    typeJournal Paper
    journal volume140
    journal issue12
    journal titleJournal of Dynamic Systems, Measurement, and Control
    identifier doi10.1115/1.4040443
    journal fristpage124501
    journal lastpage124501-8
    treeJournal of Dynamic Systems, Measurement, and Control:;2018:;volume( 140 ):;issue: 012
    contenttypeFulltext
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