| 无刷直流电动机的神经网络模型参考自适应逆控制 |
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| 引用本文： | 吕金华,王林. 无刷直流电动机的神经网络模型参考自适应逆控制[J]. 微特电机, 2007, 35(1): 36-38 |
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| 作者姓名： | 吕金华 王林 |
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| 作者单位： | 1. 武汉船舶职业技术学院,湖北武汉,430050
2. 海军装备部广州军事代表局,广西柳州,524006 |
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| 摘 要： | 提出了无刷直流电动机的神经网络模型参考自适应逆控制的新方法。在无刷直流电动机的双闭环控制系统中,电流环采用电流分时反馈控制的方式,神经网络的模型参考自适应逆控制控制器代替原来速度环的常规PID控制器。仿真结果表明控制系统具有响应快、无超调、抗干扰能力好以及稳态误差小等优点,其动、静态性能均优于常规PID控制。
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| 关 键 词： | 无刷直流电动机 参考模型 自适应逆控制 神经网络 |
| 文章编号： | 1004-7018(2007)01-0036-03 |
| 修稿时间： | 2006-01-09 |
Brushless DC Motor''''s Neural Network Model Reference Adaptive Inversion Control |
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| LV Jin-hua,WANG Lin. Brushless DC Motor''''s Neural Network Model Reference Adaptive Inversion Control[J]. Small & Special Electrical Machines, 2007, 35(1): 36-38 |
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| Authors: | LV Jin-hua WANG Lin |
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| Affiliation: | 1, Wuhan Institute of Shipbuilding Technology, Wuhan 430050, China; The PLA Navy Equipment Department Guangzhou Military Authority, Liuzhou 524006 ,China |
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| Abstract: | A new BLDCM's neural network model reference adaptive inversion control method was introdeced.In the double loop of BLDCM control system,the mode of current feedback control was implemented in the current loop,and conventional PID method was replaced by neural network model reference adaptive inversion controller in speed loop.The simulation results showed several advantages of this control strategy,such as sensitive response,non-overshoot,good anti-disturbance,and minimal stable error,and showed dynamic/static performance was superior to those of conventional PID method. |
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| Keywords: | brushless DC motor model reference adaptive inversion control neural network |
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