NDLI: PDE modelling and vibration control of overhead crane bridge with unknown control directions and parametric uncertainties

Content Provider	IET Digital Library
Author	Xing, Xueyan Liu, Jinkun
Abstract	In this study, problems of the partial differential equation (PDE) modelling and vibration control design are first resolved for an overhead crane bridge system, which is regarded as a Timoshenko beam with an attached rigid body. With the established infinite-dimensional PDE model, a Nussbaum function-based adaptive control approach is developed in order to settle out parametric uncertainties of the system with unknown control directions. Under the proposed control method, states of the overhead crane bridge are globally bounded and finally converge to an adjustable region of zero. The stability of the closed-loop overhead crane bridge system is analysed by employing Lyapunov's direct method. The effectiveness of the developed control strategy is verified through the simulation results.
Starting Page	116
Ending Page	126
Page Count	11
ISSN	17518644
Volume Number	14
e-ISSN	17518652
Issue Number	Issue 1, Jan (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/14/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2018.6345
Journal	IET Control Theory & Applications
Publisher Date	2019-10-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Control Attached Rigid Body Beams (structures) Closed Loop System Closed-loop Overhead Crane Bridge System Control Application to Materials Handling Control Method Control System Analysis Control System Synthesis Control Technology And Theory Cranes Differential Equation (numerical Analysis) Feedback General Shapes And Structure Infinite-dimensional PDE Model Lyapunov Direct Method Lyapunov Method Material Handling Equipment Mechanical Engineering Mechanical Variables Control Nonlinear Control System Numerical Analysis Nussbaum Function-based Adaptive Control Approach Parametric Uncertainty Partial Differential Equation Partial Differential Equation Modelling Self Adjusting Control System Stability Stability in Control Theory Synthesis Method Timoshenko Beam Uncertain System Unknown Control Directions Vibration Control Vibration Control Design Vibrations And Shock Wave
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications

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