Stability Analysis and Robust Adaptive Control of Induction Motor
碩士 === 國立臺灣科技大學 === 電機工程系 === 87 === Model Reference Adaptive Controllers (MRAC) have high performance and are insensitive to system uncertainty,however,suitable adaptive gain must be selected. Otherwise, it may cause the states to diverge. In this paper, we propose a modified...
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ndltd-TW-087NTUST4420202016-02-01T04:12:44Z http://ndltd.ncl.edu.tw/handle/32985246312689783739 Stability Analysis and Robust Adaptive Control of Induction Motor 感應馬達的強健適應性控制與穩定性分析 Rea Jing Chung 鍾瑞鉅 碩士 國立臺灣科技大學 電機工程系 87 Model Reference Adaptive Controllers (MRAC) have high performance and are insensitive to system uncertainty,however,suitable adaptive gain must be selected. Otherwise, it may cause the states to diverge. In this paper, we propose a modified MRAC as a speed controller for an induction motor and analyze the stability. First, we design the MRAC for the motor, then we perform the stability analysis. From the latter, a criterion to achieve both stability and high performance is found. From this criterion, a more robust version of the MRAC is derived which ensures safe motor operation despite possible operator error. We also propose an adaptive fuzzy controller. With the abilities of self-adjust and self-learning, the proposed fuzzy controller can tolerate a large range of model uncertainty.The proposed algorithm is tested by computer simulation and experiment to verify the results and demonstrate its effectiveness. The method can be easily implemented. Nai Jian Wang 王乃堅 1999 學位論文 ; thesis 0 en_US |
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碩士 === 國立臺灣科技大學 === 電機工程系 === 87 === Model Reference Adaptive Controllers (MRAC) have
high performance and are insensitive to system uncertainty,however,suitable adaptive gain must be selected. Otherwise, it may cause the states to diverge. In this paper, we propose a modified MRAC as a speed controller for an induction motor and analyze the stability. First, we design the MRAC for the motor, then we perform the stability analysis. From the latter, a criterion to achieve both stability and high performance is found. From this criterion, a more robust version of the MRAC is derived which ensures safe motor operation despite possible operator error. We also propose an adaptive fuzzy controller. With the abilities of self-adjust and self-learning, the proposed fuzzy controller can tolerate a large range of model uncertainty.The proposed algorithm is tested by computer simulation and experiment to verify the results and demonstrate its effectiveness. The method can be easily implemented.
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author2 |
Nai Jian Wang |
author_facet |
Nai Jian Wang Rea Jing Chung 鍾瑞鉅 |
author |
Rea Jing Chung 鍾瑞鉅 |
spellingShingle |
Rea Jing Chung 鍾瑞鉅 Stability Analysis and Robust Adaptive Control of Induction Motor |
author_sort |
Rea Jing Chung |
title |
Stability Analysis and Robust Adaptive Control of Induction Motor |
title_short |
Stability Analysis and Robust Adaptive Control of Induction Motor |
title_full |
Stability Analysis and Robust Adaptive Control of Induction Motor |
title_fullStr |
Stability Analysis and Robust Adaptive Control of Induction Motor |
title_full_unstemmed |
Stability Analysis and Robust Adaptive Control of Induction Motor |
title_sort |
stability analysis and robust adaptive control of induction motor |
publishDate |
1999 |
url |
http://ndltd.ncl.edu.tw/handle/32985246312689783739 |
work_keys_str_mv |
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