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首页> 外文期刊>Iranian Journal of Science and Technology, Transactions of Mechanical Engineering >Intelligent Control and Dynamic Modeling for System of Human and Wheeled Robotic Walker
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Intelligent Control and Dynamic Modeling for System of Human and Wheeled Robotic Walker

机译:轮式机器人助行器系统的智能控制和动态建模

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摘要

In order to develop assistive devices that involve physical human-robot interaction, a dynamical model of the human and the robot should be considered. This paper proposes a coupled dynamic model for human walking with a wheeled robotic walker together with a built-in fuzzy controller on the human model. The 2-D linear inverted pendulum mode is used to model human walking coupled through a parallel linear spring and damper to the walker robot. In order to generate a stable walking pattern, a fuzzy controller is implemented. The controller performance is compared to a conventional PID controller, and the results are validated with the experimental data of human walking along with a wheeled walker for five healthy subjects. The proposed model can be utilized in developing controllers for robotic walkers that consider the user's dynamics.
机译:为了开发涉及人机交互的辅助设备,应考虑人与机器人的动力学模型。本文提出了一种带轮机器人助行器的人步行耦合动力学模型,并在该人模型上内置了模糊控制器。二维线性倒立摆模式用于模拟通过平行线性弹簧和减震器耦合到步行机器人的人类步行。为了产生稳定的行走模式,实现了模糊控制器。将该控制器的性能与常规PID控制器进行了比较,并使用人体步行和轮式助行器针对五个健康受试者的实验数据验证了结果。所提出的模型可用于开发考虑了用户动态的机器人助行器的控制器。

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