一种处理完全未知状态的电路系统迭代学习控制方法
By employing an iterative learning control method, utilizing an adaptive gain state observer and Lyapunov functions, the problem of multivariable and nonlinear control of circuit systems was solved, thereby improving the stability and efficiency of the circuit systems.
CN120143616BActive Publication Date: 2026-07-17NANJING TECH UNIV
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- NANJING TECH UNIV
- Filing Date
- 2025-03-13
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Circuit systems present control challenges due to their multivariable, nonlinear, time-varying, and highly difficult-to-control, stochastic nature, which are difficult to effectively address with existing technologies.
Method used
An iterative learning control method is adopted, which estimates the unknown current of the circuit system through an adaptive gain state observer, constructs the Lyapunov function and the composite energy function, designs the controller and updates the parameters to achieve convergence analysis of the error.
Benefits of technology
It achieves effective control of the circuit system, improves system stability and efficiency, and achieves good tracking performance.
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Abstract
本发明公开了一种处理完全未知状态的电路系统迭代学习控制方法。该方法构造一种自适应增益状态观测器来估计电路系统的电流。将电路系统的矩阵参数不确定性转换为标量形式进行分析。构造一种基于迭代衰减因子的迭代学习控制器来控制电流完全未知的电路系统。与传统的需要精确数学模型的控制方法相比，本发明所提的控制算法更为新颖且应用条件简单。该方法用于重复任务操作时，有效地提高了控制精度，具有良好的工程应用价值。
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