The PID Controller Optimization Design based on the Modified Water Flow-Like Algorithm
碩士 === 國立高雄海洋科技大學 === 輪機工程研究所 === 99 === In this study, the PID controller parameter optimization method based on modified water flow-like algorithm (MWFA) is investigated. The original water flow-like algorithm (WFA) was simulated the physical characteristics of water flow which the water flow wil...
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ndltd-TW-099NKIMT4840122015-10-28T04:11:46Z http://ndltd.ncl.edu.tw/handle/49255312863624895359 The PID Controller Optimization Design based on the Modified Water Flow-Like Algorithm 基於改良型仿水流演算法之最佳化PID控制器設計 Lan, Hsiao-Yun 藍孝雲 碩士 國立高雄海洋科技大學 輪機工程研究所 99 In this study, the PID controller parameter optimization method based on modified water flow-like algorithm (MWFA) is investigated. The original water flow-like algorithm (WFA) was simulated the physical characteristics of water flow which the water flow will stop at the lowest position on the ground surface. The position will be map to optima solution within solution space of the optimization problem. The basic methodologies of WFA are flow merging, flow splitting, evaporation and precipitation. The ability of avoid local minimum problem is depend on precipitation. However, the performance does not quit good of the original WFA. A new mechanism, namely, wind brow is proposed to increase the ability of avoid the local minimum problem. There are five benchmark problems employed to exam the effective of the proposed method. The proposed MWFA is also applied to adjust the PID controller’s parameters to achieve optima goal. Yu, Ker-Wei 俞克維 2011 學位論文 ; thesis 81 zh-TW |
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碩士 === 國立高雄海洋科技大學 === 輪機工程研究所 === 99 === In this study, the PID controller parameter optimization method based on modified water flow-like algorithm (MWFA) is investigated. The original water flow-like algorithm (WFA) was simulated the physical characteristics of water flow which the water flow will stop at the lowest position on the ground surface. The position will be map to optima solution within solution space of the optimization problem. The basic methodologies of WFA are flow merging, flow splitting, evaporation and precipitation. The ability of avoid local minimum problem is depend on precipitation. However, the performance does not quit good of the original WFA. A new mechanism, namely, wind brow is proposed to increase the ability of avoid the local minimum problem.
There are five benchmark problems employed to exam the effective of the proposed method. The proposed MWFA is also applied to adjust the PID controller’s parameters to achieve optima goal.
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author2 |
Yu, Ker-Wei |
author_facet |
Yu, Ker-Wei Lan, Hsiao-Yun 藍孝雲 |
author |
Lan, Hsiao-Yun 藍孝雲 |
spellingShingle |
Lan, Hsiao-Yun 藍孝雲 The PID Controller Optimization Design based on the Modified Water Flow-Like Algorithm |
author_sort |
Lan, Hsiao-Yun |
title |
The PID Controller Optimization Design based on the Modified Water Flow-Like Algorithm |
title_short |
The PID Controller Optimization Design based on the Modified Water Flow-Like Algorithm |
title_full |
The PID Controller Optimization Design based on the Modified Water Flow-Like Algorithm |
title_fullStr |
The PID Controller Optimization Design based on the Modified Water Flow-Like Algorithm |
title_full_unstemmed |
The PID Controller Optimization Design based on the Modified Water Flow-Like Algorithm |
title_sort |
pid controller optimization design based on the modified water flow-like algorithm |
publishDate |
2011 |
url |
http://ndltd.ncl.edu.tw/handle/49255312863624895359 |
work_keys_str_mv |
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