Implementation of Micro DC Brushless Motor Controller based on Real Structured Genetic Algorithm
碩士 === 國立中興大學 === 電機工程學系所 === 96 === This thesis presents the realization of a micro brushless DC motor (MBDCM) feedback system based on a real ordered genetic algorithm (RSGA) approach, which combines the advantages of conventional real genetic algorithms (RSGA) and structured genetic algorithms (S...
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ndltd-TW-096NCHU54410382016-05-09T04:13:40Z http://ndltd.ncl.edu.tw/handle/52413026205485825800 Implementation of Micro DC Brushless Motor Controller based on Real Structured Genetic Algorithm 以實數結構型基因演算法實現微型直流無刷馬達控制器 Chih-Wei Tsai 蔡志瑋 碩士 國立中興大學 電機工程學系所 96 This thesis presents the realization of a micro brushless DC motor (MBDCM) feedback system based on a real ordered genetic algorithm (RSGA) approach, which combines the advantages of conventional real genetic algorithms (RSGA) and structured genetic algorithms (SGA), for determining an optimal controller. A dynamic crossover and mutation probability adjusting method based on Butterworth filters was proposed to improve the overall searching performance of the RSGA. The optimal MBDCM controller is realized on the TMS320F240 digital signal processing (DSP) development board to achieve hardware compactness. Control design requirements include robust stability, control consumption and tracking performance. A SinCos encoder with a line drive of 128 sin/cos signals per revolution was implemented to achieve and position control. SinCos encoders have the inherent advantage of providing high resolutions via signal interpolation. The interpolation method inherited is simple yet effective, based on logic devices. To verify the effectiveness of the proposed methodology, simulations are performed on MATLAB and an experimental platform involving a motor driver, a micro brushless DC motor, and a SinCos encoder was built to verify the applicability of the proposed method in practical situations. Simulation studies and experimental results show that the proposed algorithm converges faster, excels in performance, and yields better performance for a motor feedback controller in comparison to traditional approaches. 林俊良 學位論文 ; thesis 38 en_US |
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碩士 === 國立中興大學 === 電機工程學系所 === 96 === This thesis presents the realization of a micro brushless DC motor (MBDCM) feedback system based on a real ordered genetic algorithm (RSGA) approach, which combines the advantages of conventional real genetic algorithms (RSGA) and structured genetic algorithms (SGA), for determining an optimal controller. A dynamic crossover and mutation probability adjusting method based on Butterworth filters was proposed to improve the overall searching performance of the RSGA. The optimal MBDCM controller is realized on the TMS320F240 digital signal processing (DSP) development board to achieve hardware compactness. Control design requirements include robust stability, control consumption and tracking performance. A SinCos encoder with a line drive of 128 sin/cos signals per revolution was implemented to achieve and position control. SinCos encoders have the inherent advantage of providing high resolutions via signal interpolation. The interpolation method inherited is simple yet effective, based on logic devices.
To verify the effectiveness of the proposed methodology, simulations are performed on MATLAB and an experimental platform involving a motor driver, a micro brushless DC motor, and a SinCos encoder was built to verify the applicability of the proposed method in practical situations.
Simulation studies and experimental results show that the proposed algorithm converges faster, excels in performance, and yields better performance for a motor feedback controller in comparison to traditional approaches.
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author2 |
林俊良 |
author_facet |
林俊良 Chih-Wei Tsai 蔡志瑋 |
author |
Chih-Wei Tsai 蔡志瑋 |
spellingShingle |
Chih-Wei Tsai 蔡志瑋 Implementation of Micro DC Brushless Motor Controller based on Real Structured Genetic Algorithm |
author_sort |
Chih-Wei Tsai |
title |
Implementation of Micro DC Brushless Motor Controller based on Real Structured Genetic Algorithm |
title_short |
Implementation of Micro DC Brushless Motor Controller based on Real Structured Genetic Algorithm |
title_full |
Implementation of Micro DC Brushless Motor Controller based on Real Structured Genetic Algorithm |
title_fullStr |
Implementation of Micro DC Brushless Motor Controller based on Real Structured Genetic Algorithm |
title_full_unstemmed |
Implementation of Micro DC Brushless Motor Controller based on Real Structured Genetic Algorithm |
title_sort |
implementation of micro dc brushless motor controller based on real structured genetic algorithm |
url |
http://ndltd.ncl.edu.tw/handle/52413026205485825800 |
work_keys_str_mv |
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