| 基于粒子群算法的永磁同步电机模糊控制研究 |
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| 引用本文： | 乔维德.基于粒子群算法的永磁同步电机模糊控制研究[J].湖南工业职业技术学院学报,2010,10(6):1-2,21. |
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| 作者姓名： | 乔维德 |
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| 作者单位： | 江苏城市职业学院常州学院; |
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| 摘 要： | 为提高永磁永磁同步电机伺服系统控制性能,提出了基于粒子群优化(PSO)算法的永磁同步电机模糊控制的设计方法,即应用PSO算法全局优化模糊控制器的ka、kb、ku参数和控制规则,提高模糊控制器的控制性能和效果。仿真实验结果表明,优化后的模糊控制器的动、静态性能均优于常规PID控制,具有较高的鲁棒性和控制精度。
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| 关 键 词： | 永磁同步电机 粒子群算法 模糊控制器 PID控制 |
Research for Permanent Magnet Synchronous Motor Fuzzy Control Based on Particle Swarm Optimization |
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| QIAO Wei-de.Research for Permanent Magnet Synchronous Motor Fuzzy Control Based on Particle Swarm Optimization[J].Journal of Hunan Industry Polytechnic,2010,10(6):1-2,21. |
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| Authors: | QIAO Wei-de |
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| Affiliation: | QIAO Wei-de(Changzhou School,Jiangsu City Vocational College,Changzhou,213001 Jiangsu) |
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| Abstract: | In order to improve control performance for Permanent magnet synchronous motor servo systems,this paper proposed design method for permanent magnet synchronous motors based on particle swarm(PSO) algorithm and fuzzy control,that global optimization ka,kb,ku parameters of fuzzy controller and control rules with application PSO algorithm,to improve control performance and effectiveness for fuzzy controller.Simulation results show that,static and dynamic performance for optimized fuzzy controller is better tha... |
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| Keywords: | permanent magnet synchronous motor particle swarm optimization fuzzy controller PID control |
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