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Wearable Exoskeleton Assisted Rehabilitation in Multiple Sclerosis by Control of Sliding Mode Technique

机译:滑模技术控制可穿戴外骨骼辅助多发性硬化症的康复

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A walking model with humanoid robot RH-2 can perform distinctive assignments in a joint effort by using PID controller different values of human in working environments is presented in this paper. Human-robot coordinated effort has a regular edge work as for human-robot association. In human-robot, we are using the linear control system to single inverted pendulum. In humanoid stride is frequently displayed with different forms of the modified pendulum, for example, 2D and 3D linear reversed pendulums. A human-robot is using the direct control system to using trial and error method using with PID controller and without PID controller in different values. By using humanoid-robot RH-2, the walking control was tested successfully. Contextual analysis is exhibited all together human-robot test platform humanoid-robot RH-2. They provide a high adaption to changing conditions and have the ability to make decisions quickly by processing imprecise information. Sliding mode control (SMC) reaction is superior to PIDSMC reaction to various unsettling influences. We accomplish great following of joint removals and speeds for both ostensible and irritated estimations of the framework parameters.
机译:本文提出了一种具有人形机器人RH-2的行走模型,该模型可以通过使用PID控制器在PID控制器的共同作用下完成不同的任务分配。人机协作的工作与人机协会的工作一样有常规的优势。在人类机器人中,我们使用线性控制系统来控制单个倒立摆。在类人动物步幅中经常显示出不同形式的修饰摆,例如2D和3D线性倒立摆。机器人正在使用直接控制系统,通过带PID控制器和不带PID控制器的不同值,使用试错法。通过使用仿人机器人RH-2,成功测试了步行控制系统。上下文分析一起展示了人类机器人测试平台“类人机器人” RH-2。它们提供了对不断变化的条件的高度适应能力,并具有通过处理不精确信息来快速做出决策的能力。在各种不稳定性影响方面,滑模控制(SMC)反应优于PIDSMC反应。对于框架参数的表面和刺激估计,我们都很好地遵循了联合去除和速度的要求。

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