Design of Optimal Controller Parameters and Application to Control of a Fluidized Bed Reactor
碩士 === 國立臺灣科技大學 === 化學工程系 === 89 === The traditional linear control for the temperature control of a maleic anhydride fluidized bed reactor can’t provide predicted result cause of highly nonlinear behavior. In order to control this system, we attempt to use nonlinear controller instead of...
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ndltd-TW-089NTUST3420342016-07-04T04:17:17Z http://ndltd.ncl.edu.tw/handle/41552392144342570982 Design of Optimal Controller Parameters and Application to Control of a Fluidized Bed Reactor 最適化控制器參數設計與其應用在流體化床反應器控制 Lin, Hsueh-Te 林學得 碩士 國立臺灣科技大學 化學工程系 89 The traditional linear control for the temperature control of a maleic anhydride fluidized bed reactor can’t provide predicted result cause of highly nonlinear behavior. In order to control this system, we attempt to use nonlinear controller instead of linear controller. Recently, proposed nonlinear control methods for the system contain feedback linearization control, internal model control based on nonlinear model, Lyapunov-base control, sliding mode control, etc. But, in this article, we compared the design difference between linear transform and original model based on backstepping control method and proposed some different tuning algorithms to find out the optimum adjust parameters. As we can see after adjusting controller parameters, no mater at set point tracking and uncertainty exist or not, it can makes the control performance more better. Chou, Yi-Shyong 周宜雄 2001 學位論文 ; thesis 118 zh-TW |
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碩士 === 國立臺灣科技大學 === 化學工程系 === 89 === The traditional linear control for the temperature control of a maleic anhydride fluidized bed reactor can’t provide predicted result cause of highly nonlinear behavior. In order to control this system, we attempt to use nonlinear controller instead of linear controller.
Recently, proposed nonlinear control methods for the system contain feedback linearization control, internal model control based on nonlinear model, Lyapunov-base control, sliding mode control, etc.
But, in this article, we compared the design difference between linear transform and original model based on
backstepping control method and proposed some different tuning
algorithms to find out the optimum adjust parameters. As we can see after adjusting controller parameters, no mater at set point tracking and uncertainty exist or not, it can makes the control performance more better.
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author2 |
Chou, Yi-Shyong |
author_facet |
Chou, Yi-Shyong Lin, Hsueh-Te 林學得 |
author |
Lin, Hsueh-Te 林學得 |
spellingShingle |
Lin, Hsueh-Te 林學得 Design of Optimal Controller Parameters and Application to Control of a Fluidized Bed Reactor |
author_sort |
Lin, Hsueh-Te |
title |
Design of Optimal Controller Parameters and Application to Control of a Fluidized Bed Reactor |
title_short |
Design of Optimal Controller Parameters and Application to Control of a Fluidized Bed Reactor |
title_full |
Design of Optimal Controller Parameters and Application to Control of a Fluidized Bed Reactor |
title_fullStr |
Design of Optimal Controller Parameters and Application to Control of a Fluidized Bed Reactor |
title_full_unstemmed |
Design of Optimal Controller Parameters and Application to Control of a Fluidized Bed Reactor |
title_sort |
design of optimal controller parameters and application to control of a fluidized bed reactor |
publishDate |
2001 |
url |
http://ndltd.ncl.edu.tw/handle/41552392144342570982 |
work_keys_str_mv |
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