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An extended state observer-based full-order sliding mode control for robotic joint actuated by antagonistic pneumatic artificial muscles

机译:基于抗拮抗性气动人工肌肉驱动的机器人关节的扩展状态观察者的全阶滑模控制

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Pneumatic artificial muscles (PAMs) are expected to play an important role in endowing the advanced robot with the compliant manipulation, which is very important for a robot to coexist and cooperate with humans. However, the strong nonlinear characteristics of PAMs hinder its wide application in robots, and therefore, advanced control algorithms are urgently needed for making the best use of the advantages and bypassing the disadvantages of PAMs. In this article, we propose a full-order sliding mode control extended state observer (fSMC-ESO) algorithm that combines the ESO and the fSMC for a robotic joint actuated by a pair of antagonistic PAMs. The fSMC is employed to eliminate the chattering and to guarantee the finite-time convergence, and the ESO is adopted to observe both the total disturbance and the states of the robot system, so that we can inhibit the disturbance and compensate the nonlinearity efficiently. Both simulations and physical experiments are conducted to validate the proposed method. We suggest that the proposed method can be applied to the robotic systems actuated by PAMs and remarkably improve the performance of the robot system.
机译:预计气动人工肌肉(PAM)将在赋予符合符合操作的先进机器人具有符合操作的重要作用,这对机器人共存和与人类合作非常重要。然而,PAM的强烈非线性特性阻碍了其在机器人中的广泛应用,因此,迫切需要先进的控制算法,以充分利用优势并绕过斑马的缺点。在本文中,我们提出了一种全级的滑模控制扩展状态观察者(FSMC-ESO)算法,该算法将ESO和FSMC结合到由一对拮抗PAM驱动的机器人关节。使用FSMC来消除喋喋不休,并保证有限时间收敛,并采用ESO观察机器人系统的总干扰和状态,从而有效地抑制干扰并补偿非线性。进行模拟和物理实验,以验证所提出的方法。我们建议所提出的方法可以应用于由PAM致动的机器人系统,并且显着提高机器人系统的性能。

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