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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2017-01-01
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Series: | MATEC Web of Conferences |
Online Access: | https://doi.org/10.1051/matecconf/201712104005 |
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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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1724307426820227072 |