Analysis and control of a rotation inverted pendulum using dynamic structure fuzzy systems
碩士 === 大葉大學 === 機電自動化研究所碩士班 === 92 === Inverted pendulum systems are typical nonlinear and unstable systems. They are experimentation equipment which usually used to verify the feasibility of the control theory. This paper presents a dynamic structure fuzzy system for model reference ada...
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ndltd-TW-092DYU006890022016-01-04T04:09:14Z http://ndltd.ncl.edu.tw/handle/92093070197447064475 Analysis and control of a rotation inverted pendulum using dynamic structure fuzzy systems 應用動態模糊系統於旋轉式倒單擺系統之分析與控制 Yen-Ling Chou 周晏鈴 碩士 大葉大學 機電自動化研究所碩士班 92 Inverted pendulum systems are typical nonlinear and unstable systems. They are experimentation equipment which usually used to verify the feasibility of the control theory. This paper presents a dynamic structure fuzzy system for model reference adaptive control of nonlinear systems whose dynamic models are poorly understood. The dynamic structure fuzzy system is to reconstruct the unknown nonlinearities of the dynamic systems. In the dynamic structure system, the reference model provides closed-loop performance feedback for generating or modifying a fuzzy approximation knowledge base. The number of fuzzy rules can be either increased or decreased with time based on the required accuracy. The tracking error converges to the required precision through the adaptive control law derived by combining the dynamic structure fuzzy system and the Lyapunov synthesis approach. At last we simulate an inverted-pendulum system control demonstrate the effectiveness of our scheme. Chaio-Shiung Chen 陳昭雄 2004 學位論文 ; thesis 79 zh-TW |
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碩士 === 大葉大學 === 機電自動化研究所碩士班 === 92 === Inverted pendulum systems are typical nonlinear and unstable systems. They are experimentation equipment which usually used to verify the feasibility of the control theory.
This paper presents a dynamic structure fuzzy system for model reference adaptive control of nonlinear systems whose dynamic models are poorly understood. The dynamic structure fuzzy system is to reconstruct the unknown nonlinearities of the dynamic systems. In the dynamic structure system, the reference model provides closed-loop performance feedback for generating or modifying a fuzzy approximation knowledge base. The number of fuzzy rules can be either increased or decreased with time based on the required accuracy. The tracking error converges to the required precision through the adaptive control law derived by combining the dynamic structure fuzzy system and the Lyapunov synthesis approach.
At last we simulate an inverted-pendulum system control demonstrate the effectiveness of our scheme.
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Chaio-Shiung Chen |
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Chaio-Shiung Chen Yen-Ling Chou 周晏鈴 |
author |
Yen-Ling Chou 周晏鈴 |
spellingShingle |
Yen-Ling Chou 周晏鈴 Analysis and control of a rotation inverted pendulum using dynamic structure fuzzy systems |
author_sort |
Yen-Ling Chou |
title |
Analysis and control of a rotation inverted pendulum using dynamic structure fuzzy systems |
title_short |
Analysis and control of a rotation inverted pendulum using dynamic structure fuzzy systems |
title_full |
Analysis and control of a rotation inverted pendulum using dynamic structure fuzzy systems |
title_fullStr |
Analysis and control of a rotation inverted pendulum using dynamic structure fuzzy systems |
title_full_unstemmed |
Analysis and control of a rotation inverted pendulum using dynamic structure fuzzy systems |
title_sort |
analysis and control of a rotation inverted pendulum using dynamic structure fuzzy systems |
publishDate |
2004 |
url |
http://ndltd.ncl.edu.tw/handle/92093070197447064475 |
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