contributor author | Karagoz, Mumtazcan | |
contributor author | Cakmakci, Melih | |
date accessioned | 2019-02-28T11:13:05Z | |
date available | 2019-02-28T11:13:05Z | |
date copyright | 7/2/2018 12:00:00 AM | |
date issued | 2018 | |
identifier issn | 0022-0434 | |
identifier other | ds_140_12_124501.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4253950 | |
description 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. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Development of a Cross-Coupled Robust Controller for a Multi-Axis Micromachining System | |
type | Journal Paper | |
journal volume | 140 | |
journal issue | 12 | |
journal title | Journal of Dynamic Systems, Measurement, and Control | |
identifier doi | 10.1115/1.4040443 | |
journal fristpage | 124501 | |
journal lastpage | 124501-8 | |
tree | Journal of Dynamic Systems, Measurement, and Control:;2018:;volume( 140 ):;issue: 012 | |
contenttype | Fulltext | |