A Novel Monitoring Function Based Boundary Force Controller Design for PDE Modeling Flexible Manipulator With Uncertain Control Directions

IF 3.2 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Xinyang Ma, Chenliang Wang, Jinkun Liu
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引用次数: 0

Abstract

A contact force control and vibration suppression problem for a one-link flexible manipulator with uncertain control directions and input constraints is discussed in this paper. The flexible manipulator is described by a PDE (Partial Differential Equation) model. Nussbaum function is a widely used method to address the challenge of uncertain control directions. However, the Nussbaum function has notable drawbacks such as uncontrollable amplitude increase, frequent controller gain direction changes, and an indeterminate final gain value. To overcome these drawbacks, we propose a novel boundary controller design that integrates a monitoring function to evaluate the current gain direction and a switching scheme to determine if and when the gain direction should change. This allows us to achieve the force control and vibration suppression with uncertain control directions. Importantly, our proposed controller offers several advantages: (1) it enables simultaneous satisfaction of input constraints, (2) ensures a maximum of one change in controller gain direction before convergence to the correct direction, and (3) allows for the specification of a definitive final value for the controller gain. The effectiveness of the proposed controller is verified by numerical simulation.

一种新的基于监测函数的PDE建模不确定控制方向柔性机械臂边界力控制器设计
研究了具有不确定控制方向和输入约束的单连杆柔性机械臂的接触力控制和振动抑制问题。采用偏微分方程(PDE)模型描述柔性机械臂。Nussbaum函数是解决控制方向不确定挑战的一种广泛使用的方法。然而,Nussbaum函数有明显的缺点,如幅度增加不可控、控制器增益方向频繁变化以及最终增益值不确定。为了克服这些缺点,我们提出了一种新的边界控制器设计,该设计集成了一个监测功能来评估电流增益方向,以及一个开关方案来确定增益方向是否以及何时应该改变。这使得我们可以在不确定的控制方向下实现力控制和振动抑制。重要的是,我们提出的控制器提供了几个优点:(1)它可以同时满足输入约束,(2)确保在收敛到正确方向之前控制器增益方向的最大一次变化,以及(3)允许指定控制器增益的确定最终值。通过数值仿真验证了所提控制器的有效性。
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来源期刊
International Journal of Robust and Nonlinear Control
International Journal of Robust and Nonlinear Control 工程技术-工程:电子与电气
CiteScore
6.70
自引率
20.50%
发文量
505
审稿时长
2.7 months
期刊介绍: Papers that do not include an element of robust or nonlinear control and estimation theory will not be considered by the journal, and all papers will be expected to include significant novel content. The focus of the journal is on model based control design approaches rather than heuristic or rule based methods. Papers on neural networks will have to be of exceptional novelty to be considered for the journal.
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