基于模糊神经网络的无刷直流电机位置伺服控制 |
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引用本文: | 乔维德.基于模糊神经网络的无刷直流电机位置伺服控制[J].江苏电器,2009(9):42-45. |
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作者姓名: | 乔维德 |
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作者单位: | 常州市广播电视大学,江苏常州213001 |
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摘 要: | 针对多变量、非线性、时变的永磁无刷直流电机位置伺服控制系统的特点,提出一种基于免疫遗传算法(IGA)的递归模糊神经网络(RFNN)控制器的设计方法,并应用于无刷直流电机三闭环控制系统中的位置调节器中,实现系统精确的位置控制。在与传统PID位置控制器仿真比较中,采用该方法的系统显示出良好的控制性能和控制效果。
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关 键 词: | 永磁无刷直流电机 递归模糊神经网络控制器 免疫遗传算法 位置控制 |
Brushless DC Motor Position Servo Control Based on Fuzzy Neural Net |
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Authors: | QIAO Wei-de |
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Affiliation: | QIAO Wei-de ( Changzhou Television & Radio University, Changzhou 213001, China) |
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Abstract: | Aiming at the features of multiple variable, non-linear time changing permanent magnetic brushless DC motor position servo control system, a design method of recursive fuzzy neural net (RFNN) controller based on immune genetic algorithm was raised, applied in position regulator of hrushless DC motor three closed-ring control system, to realize system accurate position control. In comparison with traditional PID position controller simulation, the adopted system is fine in control performance and control effect. |
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Keywords: | permanent magnetic brushless DC motor recursive fuzzy neural net controller immune genetic algorithm position control |
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