Optimal Parameters Design of Intelligent Multi-modal Control System
碩士 === 國立高雄第一科技大學 === 機械與自動化工程研究所 === 102 === This paper discusses a typical design method of double-pendulum system controller. The double-pendulum system is a nonlinear, multi-variable, strong coupling, underactuated and unstable system. It used PID controller and combined with the Linear Quadrat...
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ndltd-TW-102NKIT56890282016-07-09T04:07:20Z http://ndltd.ncl.edu.tw/handle/66030937767680922047 Optimal Parameters Design of Intelligent Multi-modal Control System 智慧型多模態控制系統參數最佳化設計 Geng-Jhih Guo 郭耿志 碩士 國立高雄第一科技大學 機械與自動化工程研究所 102 This paper discusses a typical design method of double-pendulum system controller. The double-pendulum system is a nonlinear, multi-variable, strong coupling, underactuated and unstable system. It used PID controller and combined with the Linear Quadratic Regulator to achieve control purposes. Then used optimal Taguchi Method to reach stability control. Last used optimal Genetic Algorithm to achieve optimal control. The process of inverted pendulum workflow design like that. First, Initialize control parameters in multi-modal. Second, selected the required orthogonal array by optimal Taguchi method, then adjusted experimental simulation parameters by orthogonal array. Final used results to proceed analysis and calculated the responded table to find combination of optimal parameters. The results obtained in this study method can not only find the optimal control parameters but also optimal control performances. Finally the experimental results are applied to instances of inverted pendulum system platform to achieve academic research and practical combination. There are many broad applications which used research methods and technologies, such as precision machinery, robot control, semiconductor and so on. Tung-Kuan Liu 劉東官 2014 學位論文 ; thesis 93 zh-TW |
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碩士 === 國立高雄第一科技大學 === 機械與自動化工程研究所 === 102 === This paper discusses a typical design method of double-pendulum system controller. The double-pendulum system is a nonlinear, multi-variable, strong coupling, underactuated and unstable system. It used PID controller and combined with the Linear Quadratic Regulator to achieve control purposes. Then used optimal Taguchi Method to reach stability control. Last used optimal Genetic Algorithm to achieve optimal control.
The process of inverted pendulum workflow design like that. First, Initialize control parameters in multi-modal. Second, selected the required orthogonal array by optimal Taguchi method, then adjusted experimental simulation parameters by orthogonal array. Final used results to proceed analysis and calculated the responded table to find combination of optimal parameters.
The results obtained in this study method can not only find the optimal control parameters but also optimal control performances. Finally the experimental results are applied to instances of inverted pendulum system platform to achieve academic research and practical combination. There are many broad applications which used research methods and technologies, such as precision machinery, robot control, semiconductor and so on.
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Tung-Kuan Liu |
author_facet |
Tung-Kuan Liu Geng-Jhih Guo 郭耿志 |
author |
Geng-Jhih Guo 郭耿志 |
spellingShingle |
Geng-Jhih Guo 郭耿志 Optimal Parameters Design of Intelligent Multi-modal Control System |
author_sort |
Geng-Jhih Guo |
title |
Optimal Parameters Design of Intelligent Multi-modal Control System |
title_short |
Optimal Parameters Design of Intelligent Multi-modal Control System |
title_full |
Optimal Parameters Design of Intelligent Multi-modal Control System |
title_fullStr |
Optimal Parameters Design of Intelligent Multi-modal Control System |
title_full_unstemmed |
Optimal Parameters Design of Intelligent Multi-modal Control System |
title_sort |
optimal parameters design of intelligent multi-modal control system |
publishDate |
2014 |
url |
http://ndltd.ncl.edu.tw/handle/66030937767680922047 |
work_keys_str_mv |
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