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

Published: 1 December 2022| Version 1 | DOI: 10.17632/rvcxkbnx3h.1
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Description

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.

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Institutions

Politechnika Lodzka Wydzial Mechaniczny, Universita Politecnica delle Marche Dipartimento di Ingegneria Civile Edile e Architettura

Categories

Non-Linear Dynamics, Capsule, Optimal Control Theory, Neural Network

Funding

Narodowe Centrum Nauki

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