Parameter identification and hybrid mathematical modelling techniques applied to non-linear control systems

The study is concerned with the mathematical modelling and parameter identification of nonlinear motion control systems. The control systems under review are the axis motion control systems for a 3-axis CNC machine tool. The modelling process commences with lumped parameter methods applied to each e...

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Main Author: Pislaru, Crinela
Other Authors: Ford, Derek G.
Published: University of Huddersfield 2001
Subjects:
621
Online Access:http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.247405
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spelling ndltd-bl.uk-oai-ethos.bl.uk-2474052017-12-24T15:50:38ZParameter identification and hybrid mathematical modelling techniques applied to non-linear control systemsPislaru, CrinelaFord, Derek G.2001The study is concerned with the mathematical modelling and parameter identification of nonlinear motion control systems. The control systems under review are the axis motion control systems for a 3-axis CNC machine tool. The modelling process commences with lumped parameter methods applied to each element and then to each axis in turn. Comparing the dynamic performance of the simulated axis drive with the machine tool axis performance identifies the need for a modular load and the introduction of measured non-linear effects. In order to achieve a realistic dynamic performance, a hybrid model incorporating a distributed load, explicit damping factors and measured non-linear effects was developed. The influence of factors like damping coefficients, the moving mass, velocity and positional gains, time constants of the servo control system on the servo characteristics of machine tool has been determined. Different friction models have been investigated and an effective simulation method has been developed for simulation purposes. This model represents to a large extent the dynamic behaviour of the drives from the actual machine, a fact proven by the comparison between the simulated and measured results. For multi-axis control, measured geometric errors at the machine were needed to be included in the model in order to achieve realistic contouring performance. The models were validated by comparison with measurements at the machine. A feature of this work is the developed measurement methods for parameter identification. This together with the definition of the stimuli provides a solid base for a universal identification process for application to non-linear machine tool axis drives. A novel wavelet algorithm for the determination of damping coefficients for CNC machine tools is introduced and this together with other developed parameter adjustment routines allows for the performance to be optimised.621TJ Mechanical engineering and machineryUniversity of Huddersfieldhttp://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.247405http://eprints.hud.ac.uk/id/eprint/4616/Electronic Thesis or Dissertation
collection NDLTD
sources NDLTD
topic 621
TJ Mechanical engineering and machinery
spellingShingle 621
TJ Mechanical engineering and machinery
Pislaru, Crinela
Parameter identification and hybrid mathematical modelling techniques applied to non-linear control systems
description The study is concerned with the mathematical modelling and parameter identification of nonlinear motion control systems. The control systems under review are the axis motion control systems for a 3-axis CNC machine tool. The modelling process commences with lumped parameter methods applied to each element and then to each axis in turn. Comparing the dynamic performance of the simulated axis drive with the machine tool axis performance identifies the need for a modular load and the introduction of measured non-linear effects. In order to achieve a realistic dynamic performance, a hybrid model incorporating a distributed load, explicit damping factors and measured non-linear effects was developed. The influence of factors like damping coefficients, the moving mass, velocity and positional gains, time constants of the servo control system on the servo characteristics of machine tool has been determined. Different friction models have been investigated and an effective simulation method has been developed for simulation purposes. This model represents to a large extent the dynamic behaviour of the drives from the actual machine, a fact proven by the comparison between the simulated and measured results. For multi-axis control, measured geometric errors at the machine were needed to be included in the model in order to achieve realistic contouring performance. The models were validated by comparison with measurements at the machine. A feature of this work is the developed measurement methods for parameter identification. This together with the definition of the stimuli provides a solid base for a universal identification process for application to non-linear machine tool axis drives. A novel wavelet algorithm for the determination of damping coefficients for CNC machine tools is introduced and this together with other developed parameter adjustment routines allows for the performance to be optimised.
author2 Ford, Derek G.
author_facet Ford, Derek G.
Pislaru, Crinela
author Pislaru, Crinela
author_sort Pislaru, Crinela
title Parameter identification and hybrid mathematical modelling techniques applied to non-linear control systems
title_short Parameter identification and hybrid mathematical modelling techniques applied to non-linear control systems
title_full Parameter identification and hybrid mathematical modelling techniques applied to non-linear control systems
title_fullStr Parameter identification and hybrid mathematical modelling techniques applied to non-linear control systems
title_full_unstemmed Parameter identification and hybrid mathematical modelling techniques applied to non-linear control systems
title_sort parameter identification and hybrid mathematical modelling techniques applied to non-linear control systems
publisher University of Huddersfield
publishDate 2001
url http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.247405
work_keys_str_mv AT pislarucrinela parameteridentificationandhybridmathematicalmodellingtechniquesappliedtononlinearcontrolsystems
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