Zhiji Han , Hongdu Wang , Donghao Zhang , Zhijie Liu
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引用次数: 0
Abstract
This paper presents a dynamics analysis and curvature control approach for a uniform continuum arm. A pair of cables are intermittently attached to the continuum arm at the tip as well as in several spanwise locations. The dynamical model is based on a set of nonlinear coupled partial differential equations, capturing the complex dynamics of the system. We propose a feedforward plus proportional-derivative feedback control law that ensures exponential stability of the regulation error system in both the and norms. The dynamical model with distributed control successfully describes the continuum system’s ability to achieve both C-shaped and S-shaped configurations, which are crucial for various practical applications. Numerical simulations validate the effectiveness of the proposed strategy, demonstrating precise control over the arm’s bending behavior.
期刊介绍:
Applied Mathematical Modelling focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged.
This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering.
Applied Mathematical Modelling is primarily interested in papers developing increased insights into real-world problems through novel mathematical modelling, novel applications or a combination of these. Papers employing existing numerical techniques must demonstrate sufficient novelty in the solution of practical problems. Papers on fuzzy logic in decision-making or purely financial mathematics are normally not considered. Research on fractional differential equations, bifurcation, and numerical methods needs to include practical examples. Population dynamics must solve realistic scenarios. Papers in the area of logistics and business modelling should demonstrate meaningful managerial insight. Submissions with no real-world application will not be considered.