Sliding Muscle Surface Control of the Muscle-Driven Musculoskeletal System

Yerui Fan, Jianbo Yuan, Yaxiong Wu, Shuai Gan
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Abstract

In this study, a sliding muscle surface controller (SMSC) is designed to suppress disturbances and to reduce uncertainty in the muscle-driven musculoskeletal system (MDMS). When performing manipulation tasks in unstructured environments, bio-inspired robots are able to exhibit more flexibility and safety. Although the model of MDMS can be solved by combining the muscle model and the joint-link dynamics, the influence of unknown external disturbances and dynamic uncertainties makes it difficult to describe the system perfectly in practice. In order to solve the problems, a sliding muscle surface controller with an integral power reaching law is designed to suppress the chattering problem in the control and improve the anti-interference ability of the system and reduce the integrates error between expected and simulation. Subsequently, the stability of musculoskeletal system was ensured using the principle of Lyapunov synthesis. Finally, the simulation results showed that the proposed design techniques could effectively improve the robustness of muscle model.
肌肉驱动的肌肉骨骼系统的滑动肌肉表面控制
在这项研究中,设计了一种滑动肌肉表面控制器(SMSC)来抑制干扰并减少肌肉驱动肌肉骨骼系统(MDMS)的不确定性。当在非结构化环境中执行操作任务时,仿生机器人能够表现出更多的灵活性和安全性。虽然可以将肌肉模型与关节动力学相结合来求解MDMS的模型,但由于未知的外部干扰和动态不确定性的影响,在实际应用中很难对系统进行完美的描述。为了解决这一问题,设计了一种具有积分功率达到律的滑动肌面控制器,抑制了控制中的抖振问题,提高了系统的抗干扰能力,减小了期望与仿真之间的积分误差。随后,利用李亚普诺夫合成原理,保证了肌肉骨骼系统的稳定性。仿真结果表明,所提出的设计方法能够有效地提高肌肉模型的鲁棒性。
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