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首页> 外文期刊>International Journal of Advanced Robotic Systems >Modeling and PDC fuzzy control of planar parallel robot: A differential-algebraic equations approach
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Modeling and PDC fuzzy control of planar parallel robot: A differential-algebraic equations approach

机译:平面平行机器人的建模与PDC模糊控制:差动 - 代数方程方法

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摘要

Many works in the literature have studied the kinematical and dynamical issues of parallel robots. But it is still difficult to extend the vast control strategies to parallel mechanisms due to the complexity of the model-based control. This complexity is mainly caused by the presence of multiple closed kinematic chains, making the system naturally described by a set of differential-algebraic equations. The aim of this work is to control a two-degree-of-freedom parallel manipulator. A mechanical model based on differential-algebraic equations is given. The goal is to use the structural characteristics of the mechanical system to reduce the complexity of the nonlinear model. Therefore, a trajectory tracking control is achieved using the Takagi-Sugeno fuzzy model derived from the differential-algebraic equation forms and its linear matrix inequality constraints formulation. Simulation results show that the proposed approach based on differential-algebraic equations and Takagi-Sugeno fuzzy modeling leads to a better robustness against the structural uncertainties.
机译:在文献中的许多作品研究了并行机器人的运动和动态问题。但由于基于模型的控制的复杂性,仍然难以扩展到并联机制的巨大控制策略。这种复杂性主要由多个闭合的运动链的存在引起的,使得通过一组差分 - 代数方程自然地描述的系统。这项工作的目的是控制两级自由度的平行机械手。给出了基于差分代数方程的机械模型。目标是使用机械系统的结构特性来降低非线性模型的复杂性。因此,使用衍生自差分代数方程形式的Takagi-Sugeno模糊模型实现轨迹跟踪控制及其线性矩阵不等式约束制剂。仿真结果表明,基于差分代数方程和Takagi-Sugeno模糊建模的提出方法导致了对结构不确定性的更好的稳健性。

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