| 遗传算法的人工智能在交流伺服中的设计 |
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| 引用本文： | 顾平,李良荣,梁蓓.遗传算法的人工智能在交流伺服中的设计[J].贵州大学学报(自然科学版),2006,23(1):54-58. |
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| 作者姓名： | 顾平 李良荣 梁蓓 |
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| 作者单位： | 贵州大学,计算机科学与工程学院,贵阳,550025 |
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| 摘 要： | 针对永磁同步电动机交流伺服系统,提出了遗传算法的模糊神经网络控制方案。在交流伺服系统的设计中,采用模糊神经网络控制器作为其位置调节器.结合遗传算法的快速搜索功能,使得系统定位准确、快速,与通常的PID控制模式相比,具有良好的动态、稳态性能以及较强的鲁棒性,从而证明了这种设计方法的合理性和优越性。
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| 关 键 词： | 遗传算法 人工智能 位置控制 交流伺服 |
| 文章编号： | 1000-5269（2006）01-0054-05 |
| 收稿时间： | 2005-12-26 |
| 修稿时间： | 2005-12-26 |
The Design of AC Servo System Based on GA and Fuzzy-neural Network |
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| GU Ping,LI Liangrong,LIANG Bei.The Design of AC Servo System Based on GA and Fuzzy-neural Network[J].Journal of Guizhou University(Natural Science),2006,23(1):54-58. |
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| Authors: | GU Ping LI Liangrong LIANG Bei |
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| Institution: | College of Computer Science and Engineering of Guizhou University, Guiyang 550025, China |
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| Abstract: | The paper presents GA and fuzzy-neural network control method magnetic synchronous machine AC servo system.In the system's design,fuzzy-neural network was adopted as place controller.The location of system is location and precision by the fast search of GA,compared with general PID control system,the system had favorable dynamic and steady performance and strong robustness.And it demonstrates the reasonable and superiority of the design way. |
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| Keywords: | GA Artificial intelligence place control AC servo |
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