Simulation of random events for adaptive control systems calibration

The paper deals with a mathematical model that simulates the random occurrence of events during cutting processes by milling. The evolution of certain parameters that typify the cutting processes depends on predictable and non-predictable variables. In this context, either the material hardness that...

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Main Authors: Drăgoi Mircea Viorel, Vasiloni Mircea Anton
Format: Article
Language:English
Published: EDP Sciences 2017-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201712104005
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spelling doaj-43f572fe40744c32a87454128a1e29692021-02-02T03:34:52ZengEDP SciencesMATEC Web of Conferences2261-236X2017-01-011210400510.1051/matecconf/201712104005matecconf_mse2017_04005Simulation of random events for adaptive control systems calibrationDrăgoi Mircea Viorel0Vasiloni Mircea Anton1Transilvania University of Bra.ov, Manufacturing Engineering DepartmentTransilvania University of Bra.ov, Manufacturing Engineering DepartmentThe paper deals with a mathematical model that simulates the random occurrence of events during cutting processes by milling. The evolution of certain parameters that typify the cutting processes depends on predictable and non-predictable variables. In this context, either the material hardness that varies in different sides of billet, or cutting depth, can act as non-predictable variables. In order to design a response in terms of cutting parameters to non-predictable variations of inputs, a simulation of such phenomena is very useful. A mathematical model that generates random events, both in terms of non-uniform frequency and intensity is here described. A virtual instrument built in LabVIEW generates (pseudo) random events based on a combination of random numbers, as the evolution of the simulated process to be much like a real one. Furthermore the user of virtual instrument can generate himself events at certain moments and of certain intensity. This can be a useful tool to study the algorithms of designing the response which should re-balance the process within adaptive control systems.https://doi.org/10.1051/matecconf/201712104005
collection DOAJ
language English
format Article
sources DOAJ
author Drăgoi Mircea Viorel
Vasiloni Mircea Anton
spellingShingle Drăgoi Mircea Viorel
Vasiloni Mircea Anton
Simulation of random events for adaptive control systems calibration
MATEC Web of Conferences
author_facet Drăgoi Mircea Viorel
Vasiloni Mircea Anton
author_sort Drăgoi Mircea Viorel
title Simulation of random events for adaptive control systems calibration
title_short Simulation of random events for adaptive control systems calibration
title_full Simulation of random events for adaptive control systems calibration
title_fullStr Simulation of random events for adaptive control systems calibration
title_full_unstemmed Simulation of random events for adaptive control systems calibration
title_sort simulation of random events for adaptive control systems calibration
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2017-01-01
description The paper deals with a mathematical model that simulates the random occurrence of events during cutting processes by milling. The evolution of certain parameters that typify the cutting processes depends on predictable and non-predictable variables. In this context, either the material hardness that varies in different sides of billet, or cutting depth, can act as non-predictable variables. In order to design a response in terms of cutting parameters to non-predictable variations of inputs, a simulation of such phenomena is very useful. A mathematical model that generates random events, both in terms of non-uniform frequency and intensity is here described. A virtual instrument built in LabVIEW generates (pseudo) random events based on a combination of random numbers, as the evolution of the simulated process to be much like a real one. Furthermore the user of virtual instrument can generate himself events at certain moments and of certain intensity. This can be a useful tool to study the algorithms of designing the response which should re-balance the process within adaptive control systems.
url https://doi.org/10.1051/matecconf/201712104005
work_keys_str_mv AT dragoimirceaviorel simulationofrandomeventsforadaptivecontrolsystemscalibration
AT vasilonimirceaanton simulationofrandomeventsforadaptivecontrolsystemscalibration
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