论文标题
使用神经网络优化不连续胶囊驱动器的闭环控制器
Optimization of the closed-loop controller of a discontinuous capsule drive using a neural network
论文作者
论文摘要
在本文中，分析了基于神经网络的基于神经网络的闭环控制不连续的胶囊驱动器。设计控制器的基础是优化的开环控制功能。神经网络用于确定开环控制器的输出与系统状态之间的依赖性。分析了神经控制器对受控系统参数变化的鲁棒性，并将其与原始的，优化的开环控制进行比较。预计提出的方法可以促进系统的闭环控制器的构建，而其他方法对此无效，例如非平滑或不连续的方法。
In this paper, construction of a neural-network based, closed-loop control of a discontinuous capsule drive is analyzed. The foundation of the designed controller is an optimized open-loop control function. A neural network is used to determine the dependence between the open-loop controller's output and the system's state. Robustness of the neural controller with respect to variation of parameters of the controlled system is analyzed and compared with the original, optimized open-loop control. It is expected that the presented method can facilitate construction of closed-loop controllers of systems, for which other methods are not effective, such as non-smooth or discontinuous ones.
