Advanced sliding mode controllers for industrial applications

This thesis deals with the industrial application of sliding mode controllers. Sliding mode controllers based on both linear models and nonlinear-models are considered. Special attention is paid to the nonlinear modelling of the systems for sliding mode controller design. The possibility of using ne...

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Main Author: Bhatti, Aamer Iqbal
Published: University of Leicester 1998
Subjects:
Online Access:http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.696476
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spelling ndltd-bl.uk-oai-ethos.bl.uk-6964762018-04-04T03:29:54ZAdvanced sliding mode controllers for industrial applicationsBhatti, Aamer Iqbal1998This thesis deals with the industrial application of sliding mode controllers. Sliding mode controllers based on both linear models and nonlinear-models are considered. Special attention is paid to the nonlinear modelling of the systems for sliding mode controller design. The possibility of using neural networks for model generation is explored. Novel schemes for uncertainty bounds estimation are introduced and subsequently used for robust sliding mode controller design. Later, a novel approach for sliding mode based parameter estimation for a nonlinear model with known structure but unknown parameters is introduced. This parameter estimation scheme is integrated with sliding mode controller design to provide an overall controller design framework. The stability of these schemes is proven through quadratic stability concepts. The sliding mode controller design frameworks mentioned above are verified and tested on challenging industrial examples. The temperature control of a high temperature multiburner industrial furnace is a highly coupled and extremely nonlinear problem. A multiburner furnace nonlinear simulation facility is established and used for linear identification and subsequently linear model based sliding mode controller testing. For comparison purposes a two degree of freedom H controller is also designed and tested. Then a nonlinear model based controller is tested on a single burner furnace simulation. Idle speed control of an automobile engine is an extremely difficult control problem characterised with severe nonlinearities, gross disturbances and huge time delays. A sliding mode controller is designed for this problem and successfully implemented on a test rig. Later on, a nonlinear model based sliding mode controller is designed for the same problem and successfully tested.629.8University of Leicesterhttp://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.696476http://hdl.handle.net/2381/30243Electronic Thesis or Dissertation
collection NDLTD
sources NDLTD
topic 629.8
spellingShingle 629.8
Bhatti, Aamer Iqbal
Advanced sliding mode controllers for industrial applications
description This thesis deals with the industrial application of sliding mode controllers. Sliding mode controllers based on both linear models and nonlinear-models are considered. Special attention is paid to the nonlinear modelling of the systems for sliding mode controller design. The possibility of using neural networks for model generation is explored. Novel schemes for uncertainty bounds estimation are introduced and subsequently used for robust sliding mode controller design. Later, a novel approach for sliding mode based parameter estimation for a nonlinear model with known structure but unknown parameters is introduced. This parameter estimation scheme is integrated with sliding mode controller design to provide an overall controller design framework. The stability of these schemes is proven through quadratic stability concepts. The sliding mode controller design frameworks mentioned above are verified and tested on challenging industrial examples. The temperature control of a high temperature multiburner industrial furnace is a highly coupled and extremely nonlinear problem. A multiburner furnace nonlinear simulation facility is established and used for linear identification and subsequently linear model based sliding mode controller testing. For comparison purposes a two degree of freedom H controller is also designed and tested. Then a nonlinear model based controller is tested on a single burner furnace simulation. Idle speed control of an automobile engine is an extremely difficult control problem characterised with severe nonlinearities, gross disturbances and huge time delays. A sliding mode controller is designed for this problem and successfully implemented on a test rig. Later on, a nonlinear model based sliding mode controller is designed for the same problem and successfully tested.
author Bhatti, Aamer Iqbal
author_facet Bhatti, Aamer Iqbal
author_sort Bhatti, Aamer Iqbal
title Advanced sliding mode controllers for industrial applications
title_short Advanced sliding mode controllers for industrial applications
title_full Advanced sliding mode controllers for industrial applications
title_fullStr Advanced sliding mode controllers for industrial applications
title_full_unstemmed Advanced sliding mode controllers for industrial applications
title_sort advanced sliding mode controllers for industrial applications
publisher University of Leicester
publishDate 1998
url http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.696476
work_keys_str_mv AT bhattiaameriqbal advancedslidingmodecontrollersforindustrialapplications
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