| 基于RBF神经网络的伺服系统自适应自抗扰控制 |
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| 引用本文： | 李匡成. 基于RBF神经网络的伺服系统自适应自抗扰控制[J]. 电气自动化, 2010, 32(2): 23-25 |
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| 作者姓名： | 李匡成 |
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| 作者单位： | 装甲兵工程学院,北京,100072 |
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| 摘 要： | 针对伺服系统中存在的非线性,提出了一种基于RBF神经网络的自适应自抗扰控制（ADRC）方法,设计了基于RBF神经网络的自适应自抗扰ADRC控制器。通过仿真和实验验证了该方法能有效地克服采用PD控制时系统的超速超回现象和爬行现象,在参数变化时具有较好的稳态性能和较强的鲁棒性。
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| 关 键 词： | 自抗扰控制 自适应控制 RBF神经网络 |
Adaptive Auto Disturbance Rejection Control for Servo Systems Based on the RBF Neural Network |
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| Li Kuangcheng. Adaptive Auto Disturbance Rejection Control for Servo Systems Based on the RBF Neural Network[J]. Electrical Automation, 2010, 32(2): 23-25 |
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| Authors: | Li Kuangcheng |
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| Affiliation: | Li Kuangcheng(Academy of Armored Force Engineering, Beijing 100072,China) |
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| Abstract: | A method of adaptive auto disturbance rejection control （ADRC） for servo systems based on the RBF neural network is presented to eliminate the influe nce of nonlinear factors and adaptive ADRC controller based on RBF neural networ k is designed. Finally, by simulation and experimentation, the method eliminates stick-slip phenomenon in a low very velocity and oscillation phenomenon in a h igh velocity with PD control. This method improves steady-state performance and robust. |
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| Keywords: | auto disturbance rejection control adaptive control RBF neural network |
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