| 神经网络自适应PID在开关磁阻电机中的应用仿真 |
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| 引用本文： | 马孟臣,王宏华.神经网络自适应PID在开关磁阻电机中的应用仿真[J].机械制造与自动化,2007,36(1):105-107. |
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| 作者姓名： | 马孟臣 王宏华 |
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| 作者单位： | 河海大学,电气工程学院,江苏,南京,210098;河海大学,电气工程学院,江苏,南京,210098 |
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| 摘 要： | 介绍了一种基于神经网络的自适应PID控制器,其运用神经网络和BP算法在线调整PID参数,并把此控制器和传统PID控制器组合成一个复合控制器应用于开关磁阻电机调速系统中.仿真结果表明,与传统的数字PID控制器相比,该复合控制器具有更好的自适应性和鲁棒性.
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| 关 键 词： | 神经网络 自适应 PID 开关磁阻电机 复合控制 |
| 文章编号： | 1671-5276（2007）01-0105-03 |
| 修稿时间： | 2006-08-08 |
A Neural Network Self-adaptive PID and Its Application Simulation in SRM |
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| MA Meng-chen,WANG Hong-hua.A Neural Network Self-adaptive PID and Its Application Simulation in SRM[J].Machine Building & Automation,2007,36(1):105-107. |
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| Authors: | MA Meng-chen WANG Hong-hua |
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| Affiliation: | Hohai University, Nanjing 210098, China |
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| Abstract: | A new self-adapting PID controller based on neural network is proposed. It uses neural networks and BP algorithms for adjusting PID parameters online. And the combination of this controller and traditional PID to form a controller used in SRD, simulation results show that compared with traditional digital PID controller, the controller is better in the adaptability and robustness. |
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| Keywords: | neural network self-adapting PID switched reluctance motor composite control |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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