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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Main Authors: Rea Jing Chung, 鍾瑞鉅
Other Authors: Nai Jian Wang
Format: Others
Language:en_US
Published: 1999
Online Access:http://ndltd.ncl.edu.tw/handle/32985246312689783739
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spelling 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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language en_US
format Others
sources NDLTD
description 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.
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
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