| 许淼,马壮,刘铮,左学敏.一种二阶RLC非线性系统自适应滑模控制仿真研究[J].唐山学院学报,2026,39(3):19-23,63 |
| 一种二阶RLC非线性系统自适应滑模控制仿真研究 |
| Research on Adaptive Sliding Mode Control Simulation of a Second-Order RLC Nonlinear System |
| 投稿时间：2025-10-26 |
| DOI：10.16160/j.cnki.tsxyxb.2026.03.004 |
| 中文关键词: 二阶非线性系统 滑模控制 自适应控制 RLC振荡电路 RBF神经网络 |
| 英文关键词: second-order nonlinear system sliding mode control adaptive control RLC oscillatory circuit RBF neural network |
| 基金项目:河北省教育厅科学研究项目(QN2025401);唐山市基础研究科技计划项目(24130230C);唐山学院博士创新基金项目(BC202415) |
|
| 摘要点击次数: 393 |
| 全文下载次数: 237 |
| 中文摘要: |
| 针对二阶RLC非线性系统,设计一种基于RBF神经网络估计不确定项的自适应滑模控制器。首先,以二阶RLC振荡电路为研究对象,基于机理法建立该系统的数学模型;其次,设计基于RBF神经网络的状态观测器,将其输出值作为控制器的补偿;再次,采用自适应滑模控制方法设计控制器;最后,通过Matlab仿真验证所设计控制器的有效性。仿真结果表明:所设计的控制器对显著干扰具有较强的鲁棒性,且具有高精度控制性能。 |
| 英文摘要: |
| An adaptive sliding mode controller based on an RBF neural network to estimate the uncertain terms is designed for the second-order RLC system. Firstly,with the second-order RLC oscillatory circuit as the research object, the mathematical model of the system is established based on the mechanism method. Secondly, a state observer based on RBF neural network is designed, and its output value is used as compensation for the controller. Thirdly, the adaptive sliding mode control method is adopted to design the controller. Finally, the effectiveness of the designed controller is verified through Matlab simulation. The simulation results show that the designed controller has strong robustness against significant disturbances and exhibits high-precision control performance. |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |
|
|
|