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APPLICATION OF INTELLIGENT SWITCHING CONTROL OF PNEUMATIC ARTIFICIAL MUSCLE MANIPULATORS WITH MAGNETO-RHEOLOGICAL BRAKE

机译:磁流变制动器气动人工肌肉操纵器智能切换控制的应用

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A pneumatic artificial muscle actuator (PAM actuator), has been regarded during the recent decades as an interesting alternative to hydraulic and electric actuators because of these advantages such as high power to weight ratio, low cost, readily available and cheap power source, inherent safety and mobility assistance to humans performing tasks. However, problems with the air compressibility and the lack of damping ability have made it difficult to realize motion with high accuracy, high speed and with respect to various external inertia loads in order to realize a human-friendly therapy robot (HFTR). An intelligent phase plane switching controller, which harmonizes a phase plane switching control (PPSC) algorithm, conventional PID controller and the adaptabilities of neural network, is newly proposed in this study. In order to realize satisfactory control performance, Magneto-Rheological Brake (MRB) is equipped to the joint of the manipulator. The experiments were carried out in practical PAM manipulator and the effectiveness of the newly proposed control algorithm was demonstrated through experiments, which proved that the stability of the manipulator could be improved greatly in a high gain control without regard to the change of external inertia loads.
机译:一种气动人工肌动力执行器(PAM执行器),在近几十年中被认为是液压和电动执行器的有趣替代方案,因为这些优点如高功率,成本低,容易获得,廉价的电源,固有的安全性和移动任务的人类的移动援助。然而,与空气的可压缩性和缺乏阻尼能力的问题使得难以实现运动具有高精度,高速度和相对于各种外部惯性载荷,以便实现一个人类友好的治疗机器人(HFTR)。在本研究中,新提出了一种智能相面切换控制器,其协调相面切换控制(PPSC)算法,传统的PID控制器和神经网络的适应力。为了实现令人满意的控制性能,磁流变制动器(MRB)配备到操纵器的接头。实验在实际的PAM机械手中进行,通过实验证明了新提出的控制算法的有效性,证明了机械手的稳定性可以在高增益控制中大大提高,而不考虑外惯性载荷的变化。

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