Temperature Control based on Nonlinear Model for Hot Rolling Process during Finishing Milling
碩士 === 元智大學 === 電資與資訊工程研究所 === 86 === This thesis investigates the temperature control problem for hotrolling process during finishing milling. We aim to preserve the nonlinear time-varying characteristics of the plant model in controller design. When the...
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ndltd-TW-086YZU003920142015-10-13T17:34:50Z http://ndltd.ncl.edu.tw/handle/73716215507057124226 Temperature Control based on Nonlinear Model for Hot Rolling Process during Finishing Milling 以非線性模型為基礎之熱軋廠精軋區溫度控制 Shih-Chou Yung 楊世州 碩士 元智大學 電資與資訊工程研究所 86 This thesis investigates the temperature control problem for hotrolling process during finishing milling. We aim to preserve the nonlinear time-varying characteristics of the plant model in controller design. When the plant model is nonlinear, the common approach in controller design is to linearize the model; an alternative is to convert the model into a fuzzy model with locally linear rules. In our problem, we find that the nonlinear thermal model can be used directly for controller design. It is unnecessary to linearize the model or convert it into a fuzzy model. We propose optimal controllers based on the thermal model, and PID controllers based on optimal control solution. In the special case when the thermal model cannot provide the control solution, it can be converted into a fuzzy model. With the locally linear rules, control solutions for fuzzy models can always be found, and model nonlinearity is preserved. We also propose optimal controllers based on the fuzzy model and the related PID controllers. Compare to the controllers obtained after model linearization, our controllers perform better and are easier to design. Ideal controller parameters can be obtained directly without trials and errors. Ying Li 李 穎 學位論文 ; thesis 81 zh-TW |
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碩士 === 元智大學 === 電資與資訊工程研究所 === 86 === This thesis investigates the temperature control problem for
hotrolling process during finishing milling. We aim to preserve
the nonlinear time-varying characteristics of the plant model
in controller design. When the plant model is nonlinear, the
common approach in controller design is to linearize the model;
an alternative is to convert the model into a fuzzy model with
locally linear rules. In our problem, we find that the nonlinear
thermal model can be used directly for controller design. It is
unnecessary to linearize the model or convert it into a fuzzy
model. We propose optimal controllers based on the thermal model,
and PID controllers based on optimal control solution. In the
special case when the thermal model cannot provide the control
solution, it can be converted into a fuzzy model. With the
locally linear rules, control solutions for fuzzy models can
always be found, and model nonlinearity is preserved. We also
propose optimal controllers based on the fuzzy model and the
related PID controllers. Compare to the controllers obtained
after model linearization, our controllers perform better and
are easier to design. Ideal controller parameters can be
obtained directly without trials and errors.
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author2 |
Ying Li |
author_facet |
Ying Li Shih-Chou Yung 楊世州 |
author |
Shih-Chou Yung 楊世州 |
spellingShingle |
Shih-Chou Yung 楊世州 Temperature Control based on Nonlinear Model for Hot Rolling Process during Finishing Milling |
author_sort |
Shih-Chou Yung |
title |
Temperature Control based on Nonlinear Model for Hot Rolling Process during Finishing Milling |
title_short |
Temperature Control based on Nonlinear Model for Hot Rolling Process during Finishing Milling |
title_full |
Temperature Control based on Nonlinear Model for Hot Rolling Process during Finishing Milling |
title_fullStr |
Temperature Control based on Nonlinear Model for Hot Rolling Process during Finishing Milling |
title_full_unstemmed |
Temperature Control based on Nonlinear Model for Hot Rolling Process during Finishing Milling |
title_sort |
temperature control based on nonlinear model for hot rolling process during finishing milling |
url |
http://ndltd.ncl.edu.tw/handle/73716215507057124226 |
work_keys_str_mv |
AT shihchouyung temperaturecontrolbasedonnonlinearmodelforhotrollingprocessduringfinishingmilling AT yángshìzhōu temperaturecontrolbasedonnonlinearmodelforhotrollingprocessduringfinishingmilling AT shihchouyung yǐfēixiànxìngmóxíngwèijīchǔzhīrèyàchǎngjīngyàqūwēndùkòngzhì AT yángshìzhōu yǐfēixiànxìngmóxíngwèijīchǔzhīrèyàchǎngjīngyàqūwēndùkòngzhì |
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