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Block-control methods for low-order automotive control
Robust linear and nonlinear control is a continuing requirement for automotive powertrain controls. Newton iteration techniques have been proposed for both nonparametric linear and recently nonlinear control. Such nonparametric methods may eventually allow benefits of both low-order controllers and...
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Main Authors: | , |
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Format: | Default Conference proceeding |
Published: |
2008
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Online Access: | https://hdl.handle.net/2134/9747 |
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author | Christopher Ward A.T. Shenton |
author_facet | Christopher Ward A.T. Shenton |
author_sort | Christopher Ward (1251171) |
collection | Figshare |
description | Robust linear and nonlinear control is a continuing requirement for automotive powertrain controls. Newton iteration techniques have been proposed for both nonparametric linear and recently nonlinear control. Such nonparametric methods may eventually allow benefits of both low-order controllers and more rapid calibration time. This paper evaluates the feasibility of such Newton iteration techniques by an experimental comparison of a standard Riccati method a Riccati J-spectral factorisation and a novel l2 algebraic J-spectral factorisation using Newton iteration techniques in a SI engine idle controller. The methods are each applied in a 2- block H∞formulation. The results of experimentally implementing robust idle speed controllers show broadly similar outcomes for all the methods compared and thus indicate the potential of the Newton iteration methods for further development in more advanced nonparametric, low-order and nonlinear control. |
format | Default Conference proceeding |
id | rr-article-9549248 |
institution | Loughborough University |
publishDate | 2008 |
record_format | Figshare |
spelling | rr-article-95492482008-01-01T00:00:00Z Block-control methods for low-order automotive control Christopher Ward (1251171) A.T. Shenton (7207319) Mechanical engineering not elsewhere classified H block formation Newton iterations J-spectral factorisation Mixed sensitivity Idle speed control Mechanical Engineering not elsewhere classified Robust linear and nonlinear control is a continuing requirement for automotive powertrain controls. Newton iteration techniques have been proposed for both nonparametric linear and recently nonlinear control. Such nonparametric methods may eventually allow benefits of both low-order controllers and more rapid calibration time. This paper evaluates the feasibility of such Newton iteration techniques by an experimental comparison of a standard Riccati method a Riccati J-spectral factorisation and a novel l2 algebraic J-spectral factorisation using Newton iteration techniques in a SI engine idle controller. The methods are each applied in a 2- block H∞formulation. The results of experimentally implementing robust idle speed controllers show broadly similar outcomes for all the methods compared and thus indicate the potential of the Newton iteration methods for further development in more advanced nonparametric, low-order and nonlinear control. 2008-01-01T00:00:00Z Text Conference contribution 2134/9747 https://figshare.com/articles/conference_contribution/Block-control_methods_for_low-order_automotive_control/9549248 CC BY-NC-ND 4.0 |
spellingShingle | Mechanical engineering not elsewhere classified H block formation Newton iterations J-spectral factorisation Mixed sensitivity Idle speed control Mechanical Engineering not elsewhere classified Christopher Ward A.T. Shenton Block-control methods for low-order automotive control |
title | Block-control methods for low-order automotive control |
title_full | Block-control methods for low-order automotive control |
title_fullStr | Block-control methods for low-order automotive control |
title_full_unstemmed | Block-control methods for low-order automotive control |
title_short | Block-control methods for low-order automotive control |
title_sort | block-control methods for low-order automotive control |
topic | Mechanical engineering not elsewhere classified H block formation Newton iterations J-spectral factorisation Mixed sensitivity Idle speed control Mechanical Engineering not elsewhere classified |
url | https://hdl.handle.net/2134/9747 |