| 引用本文: | 达飞鹏,宋文忠.基于模糊神经网络的滑模控制[J].控制理论与应用,2000,17(1):128~132.[点击复制] |
| DA Fei-peng,SONG Wen-zhong.Sliding Mode Control Based on the Fuzzy Neural Networks[J].Control Theory and Technology,2000,17(1):128~132.[点击复制] |
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| 基于模糊神经网络的滑模控制 |
| Sliding Mode Control Based on the Fuzzy Neural Networks |
| 摘要点击 1555 全文点击 745 投稿时间：1997-09-15 修订日期：1998-01-20 |
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| DOI编号 10.7641/j.issn.1000-8152.2000.1.032 |
| 2000,17(1):128-132 |
| 中文关键词 非线性系统 模糊神经网络 滑模控制 |
| 英文关键词 nonlinear system fuzzy neural networks sliding mode control |
| 基金项目 |
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| 中文摘要 |
| 研究了一类不确定性非线性系统的滑模变结构控制, 提出了一种基于模糊神经网络 (FuzzyNeuralNet works)的滑模变结构设计方法. 设计了控制器的结构, 利用动态反向传播算法实现滑模控制. 这种方法与一般变结构控制相比不但具有强的鲁棒性而且还能有效地消除抖动现象, 同时在设计中不需要知道系统中不确定性和扰动的上界. 另外还运用Lyapunov函数从理论上分析上了系统的稳定性. 仿真结果说明了本文所提方法的有效性. |
| 英文摘要 |
| A new mode sliding method is proposed to diminish chattering and to achieve accurate tracking for a class of nonlinear systems in the presence of disturbances and parameter variations.We present the variable structure control system based on fuzzy neural networks controller in the first time,which uses the dynamical back propagation algorithm to ensure the existing condition of sliding mode control.Compared with the common variable structure control,the new method can eliminate the chattering phenomenon efficiently and has more robustness while the bounds of the uncertainties and disturbances are not known in the controller design.Stability analysis is also given by using Lyapunov function.Simulation results demonstrate the effectiveness of the method. |