Adaptive neural network based boundary control of a flexible marine riser system with output constraints

2022, Volume 23, Issue 8

Abstract

Keywords

Related Research

Frontiers of Information Technology & Electronic Engineering >> 2022, Volume 23, Issue 8 doi: 10.1631/FITEE.2100586

Adaptive neural network based boundary control of a flexible marine riser system with output constraints

Affiliation(s): Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi 214122, China; College of Internet of Things Technology, Wuxi Institute of Technology, Wuxi 214121, China; Wuxi Good Cloud IoT Technology Co., Ltd., Wuxi 214196, China; less

Received: 2021-12-28 Accepted: 2022-08-22 Available online: 2022-08-22

HTML14 PDF 5 Collect 0

Next Previous

Abstract

In this study, we develop an adaptive based method for a flexible with unknown nonlinear disturbances and s to suppress vibrations. We begin with describing the dynamic behavior of the riser system using a distributed parameter system with s. To compensate for the effect of nonlinear disturbances, we construct a based ler using a radial basis to reduce vibrations. Under the proposed ler, the state of the riser is guaranteed to be uniformly bounded based on the Lyapunov method. The proposed methodology provides a way to integrate s into for other flexible robotic manipulator systems. Finally, numerical simulations are given to demonstrate the effectiveness of the proposed control method.

Keywords

Marine riser system ; Partial differential equation ; Neural network ; Output constraint ; Boundary control ; Unknown disturbance

Related Research