Optimal Control of Dielectric Elastomer Actuated Multibody Dynamical Systems.

IF 6.4 2区 计算机科学 Q1 ROBOTICS Soft Robotics Pub Date : 2023-10-01 Epub Date: 2023-03-28 DOI:10.1089/soro.2022.0162
Dengpeng Huang, Sigrid Leyendecker
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Abstract

In this work, a simulation model for the optimal control of dielectric elastomer actuated flexible multibody dynamics systems is presented. The dielectric elastomer actuator (DEA) behaves like a flexible artificial muscle in soft robotics. It is modeled as an electromechanically coupled geometrically exact beam, where the electric charges serve as control variables. The DEA-beam is integrated as an actuator into multibody systems consisting of rigid and flexible components. The model also represents contact interaction via unilateral constraints between the beam actuator and, for example, a rigid body during the grasping process of a soft robot. With a mathematically concise and physically representative formulation, a reduced free energy function is developed for the electromechanically coupled beam. In the optimal control problem, an objective function is minimized while the electromechanically coupled dynamic balance equations for the multibody system have to be fulfilled together with the complementarity conditions for the contact and boundary conditions. The optimal control problem is solved via a direct transcription method, transforming it into a constrained nonlinear optimization problem. The electromechanically coupled geometrically exact beam is firstly semidiscretized with one-dimensional finite elements and then the multibody dynamics is temporally discretized with a variational integrator leading to the discrete Euler-Lagrange equations, which are further reduced with the null space projection. The discrete Euler-Lagrange equations and the boundary conditions serve as equality constraints, whereas the contact constraints are treated as inequality constraints in the optimization of the discretized objective. The constrained optimization problem is solved using the Interior Point Optimizer solver. The effectiveness of the developed model is demonstrated by three numerical examples, including a cantilever beam, a soft robotic worm, and a soft robotic grasper.

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介电弹性体驱动多体动力学系统的最优控制。
本文提出了介质弹性体驱动柔性多体动力学系统的最优控制仿真模型。电介质弹性体致动器(DEA)的行为就像软机器人中的柔性人工肌肉。它被建模为一个机电耦合的几何精确梁,其中电荷作为控制变量。DEA梁作为致动器集成到由刚性和柔性部件组成的多体系统中。该模型还表示了在软机器人的抓取过程中,梁致动器和刚体之间通过单向约束的接触相互作用。用一个数学上简洁、物理上有代表性的公式,推导了机电耦合梁的约化自由能函数。在最优控制问题中,目标函数最小化,而多体系统的机电耦合动态平衡方程必须与接触和边界条件的互补条件一起满足。最优控制问题采用直接转录法求解,转化为约束非线性优化问题。首先用一维有限元对机电耦合的几何精确梁进行半离散,然后用变分积分器对多体动力学进行时间离散,得到离散的欧拉-拉格朗日方程,并用零空间投影对其进行进一步的简化。离散的欧拉-拉格朗日方程和边界条件作为等式约束,而在离散目标的优化中,接触约束被视为不等式约束。约束优化问题使用内部点优化器解算器解决。通过三个数值例子证明了所开发模型的有效性,包括悬臂梁、软机器人蠕虫和软机器人抓取器。
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来源期刊
Soft Robotics
Soft Robotics ROBOTICS-
CiteScore
15.50
自引率
5.10%
发文量
128
期刊介绍: Soft Robotics (SoRo) stands as a premier robotics journal, showcasing top-tier, peer-reviewed research on the forefront of soft and deformable robotics. Encompassing flexible electronics, materials science, computer science, and biomechanics, it pioneers breakthroughs in robotic technology capable of safe interaction with living systems and navigating complex environments, natural or human-made. With a multidisciplinary approach, SoRo integrates advancements in biomedical engineering, biomechanics, mathematical modeling, biopolymer chemistry, computer science, and tissue engineering, offering comprehensive insights into constructing adaptable devices that can undergo significant changes in shape and size. This transformative technology finds critical applications in surgery, assistive healthcare devices, emergency search and rescue, space instrument repair, mine detection, and beyond.
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