Optimization of the closed-loop controller of a discontinuous capsule drive using a neural network

Research data connected to the following paper: Optimization of the closed-loop controller of a discontinuous capsule drive using a neural network. 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.

本数据集关联如下学术论文：《基于神经网络的非连续式胶囊传动系统闭环控制器优化》。本文针对基于神经网络的非连续式胶囊传动系统闭环控制构建方案展开分析。所设计控制器的核心基础为经优化的开环控制函数，通过神经网络确定开环控制器输出与系统状态之间的依赖关系。本文分析了该神经控制器针对被控系统参数波动的鲁棒性，并与初始优化型开环控制方案进行对比。本研究提出的方法有望为非光滑、非连续等其他方法难以适配的系统构建闭环控制器提供助力。