| 基于FNN的感应电机伺服驱动适应控制研究 |
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| 引用本文： | 王瑞明,蒋静坪.基于FNN的感应电机伺服驱动适应控制研究[J].电力系统及其自动化学报,2005,17(6):22-25. |
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| 作者姓名： | 王瑞明 蒋静坪 |
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| 作者单位： | 浙江大学电气工程学院,杭州,310027;浙江大学电气工程学院,杭州,310027 |
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| 摘 要： | 为了提高感应电机伺服驱动系统控制性能,结合传统PID控制策略和模糊神经网络控制的优点,设计了一种在线自适应模糊神经网络控制的交流伺服系统,并且分析了该控制策略的可行性.通过仿真和具体实验分别验证了设计的合理性.结果表明:该控制方法不论对于调节还是设定值跟踪,均具有很好的控制效果,而且对感应电机伺服驱动系统有很好的抗干扰性能和较强的鲁棒性,使交流伺服系统具有较好的动态、静态性能,控制策略切实可行.
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| 关 键 词： | 比例积分微分 模糊神经网络控制器 感应电机 伺服驱动 |
| 文章编号： | 1003-8930（2005）06-0022-04 |
| 收稿时间： | 2004-11-24 |
| 修稿时间： | 2004-12-30 |
Adaptive Control for Induction Motor Servo Drive Based on Fuzzy Neural Network |
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| WANG Rui-ming,JIANG Jing-ping.Adaptive Control for Induction Motor Servo Drive Based on Fuzzy Neural Network[J].Proceedings of the CSU-EPSA,2005,17(6):22-25. |
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| Authors: | WANG Rui-ming JIANG Jing-ping |
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| Affiliation: | College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China |
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| Abstract: | Considering the requirement of higher accuracy and faster response of induction motor servo system, an induction motor servo drive combined with PID position control and fuzzy neural network control is proposed in this paper. The effectiveness of the system is analyzed. The method is verified by simulation and experimentation. The results of simulation and experimentation show that the method has a good control effect on both regulating and set-point following. For induction motor servo drive system in practice, it has a quite good disturbance resistance capability and strong robustness. Both dynamic and steady performance is improved evidently and the results are satisfactory. |
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| Keywords: | proportion integral differential(PID) fuzzy neural network controller(FNNC) induction motor servo drive |
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