Zhao Liu , Fangfang Dong , Xiaomin Zhao , Jiang Han , Ye-Hwa Chen
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引用次数: 0
Abstract
The robot follow-up support system provides a cost-effective and flexible support solution for machining thin-walled workpieces. In the past, however, the control design had been a challenge, mainly due to the difficulty in coping with the complex coupling and time-varying dynamic characteristics of the follow-up support system. This study proposes a novel heterogeneous hybrid stiffness model in a “parallel-serial-parallel” structure, along with a constraint-following control method for vibration suppression. First, a second-order vibration model of the follow-up support system was developed, capturing the primary stiffness characteristics of the system while simplifying the modeling through mass bundling. Second, time-varying stiffness analytical expressions are established for the main stiffness components, including the local workpiece region, gas springs at support modules, and the normal stiffness of the robot end-effector, facilitating real-time substitution in the control process. Third, the controllable air pressure term was separated from both sides of the vibration equation, yielding an equivalent underactuated system, and a constraint-following control algorithm was designed. The simulations demonstrate that the proposed control algorithm meets the servo requirements with high precision.
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.