Application of a Single Neuron Controller for Trajetory Tracking in a Batch Reactor: Experimental Study
碩士 === 大同大學 === 化學工程研究所 === 85 === The purpose of this study is to study the applicability of a single neuron controller for trajectory tracking in a batch reactor. First, the behavior of the single neuron controller with one autotuning parameter is compared with that of the single neuron cont...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | en_US |
Published: |
1997
|
Online Access: | http://ndltd.ncl.edu.tw/handle/37116902044255043339 |
id |
ndltd-TW-085TTU03063001 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-TW-085TTU030630012016-07-01T04:16:04Z http://ndltd.ncl.edu.tw/handle/37116902044255043339 Application of a Single Neuron Controller for Trajetory Tracking in a Batch Reactor: Experimental Study 單一神經元控制器在批式反應器路徑追蹤之應用:實驗研究 Ho, Ching-Fu 何景福 碩士 大同大學 化學工程研究所 85 The purpose of this study is to study the applicability of a single neuron controller for trajectory tracking in a batch reactor. First, the behavior of the single neuron controller with one autotuning parameter is compared with that of the single neuron controller with three autotuning parameters. By simulation studies, the simplified single neuron controller performs properly. Therefore, this simplified controller is applied to track an operating trajectory in a batch reactor experimentally. By autotuning only the slope of the nonlinear saturated function, the adopted single neuron controller can track a given operating trajectory tightly by merely observing the process output error. Experimental results reveal the applicability of such a single neuron controller for tracking a given trajectory in a-batch reactor. Chang, Jyh-Shyong 張志雄 1997 學位論文 ; thesis 60 en_US |
collection |
NDLTD |
language |
en_US |
format |
Others
|
sources |
NDLTD |
description |
碩士 === 大同大學 === 化學工程研究所 === 85 ===
The purpose of this study is to study the applicability of a single neuron controller for trajectory tracking in a batch reactor. First, the behavior of the single neuron controller with one autotuning parameter is compared with that of the single neuron controller with three autotuning parameters. By simulation studies, the simplified single neuron controller performs properly. Therefore, this simplified controller is applied to track an operating trajectory in a batch reactor experimentally. By autotuning only the slope of the nonlinear saturated function, the adopted single neuron controller can track a given operating trajectory tightly by merely observing the process output error. Experimental results reveal the applicability of such a single neuron controller for tracking a given trajectory in a-batch reactor.
|
author2 |
Chang, Jyh-Shyong |
author_facet |
Chang, Jyh-Shyong Ho, Ching-Fu 何景福 |
author |
Ho, Ching-Fu 何景福 |
spellingShingle |
Ho, Ching-Fu 何景福 Application of a Single Neuron Controller for Trajetory Tracking in a Batch Reactor: Experimental Study |
author_sort |
Ho, Ching-Fu |
title |
Application of a Single Neuron Controller for Trajetory Tracking in a Batch Reactor: Experimental Study |
title_short |
Application of a Single Neuron Controller for Trajetory Tracking in a Batch Reactor: Experimental Study |
title_full |
Application of a Single Neuron Controller for Trajetory Tracking in a Batch Reactor: Experimental Study |
title_fullStr |
Application of a Single Neuron Controller for Trajetory Tracking in a Batch Reactor: Experimental Study |
title_full_unstemmed |
Application of a Single Neuron Controller for Trajetory Tracking in a Batch Reactor: Experimental Study |
title_sort |
application of a single neuron controller for trajetory tracking in a batch reactor: experimental study |
publishDate |
1997 |
url |
http://ndltd.ncl.edu.tw/handle/37116902044255043339 |
work_keys_str_mv |
AT hochingfu applicationofasingleneuroncontrollerfortrajetorytrackinginabatchreactorexperimentalstudy AT héjǐngfú applicationofasingleneuroncontrollerfortrajetorytrackinginabatchreactorexperimentalstudy AT hochingfu dānyīshénjīngyuánkòngzhìqìzàipīshìfǎnyīngqìlùjìngzhuīzōngzhīyīngyòngshíyànyánjiū AT héjǐngfú dānyīshénjīngyuánkòngzhìqìzàipīshìfǎnyīngqìlùjìngzhuīzōngzhīyīngyòngshíyànyánjiū |
_version_ |
1718330734307966976 |