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Pneumatic artificial muscles: A switching Model Predictive Control approach

机译:气动人造肌肉:一种切换模型预测控制方法

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In this article, a switching Model Predictive Controller (sMPC) for a pneumatic artificial muscle (PAM) is presented. The control scheme is based on a switching PieceWise Affine (PWA) system model approximation that is able to capture the high nonlinearities of the PAM, while improving the overall model accuracy, and is composed of: (a) a feed-forward term regulating control input at specific reference set-points, and (b) a switching Model Predictive Controller handling any deviations from the system's equilibrium points. Extended experimental studies are being presented that prove the overall scheme's efficiency.
机译:在本文中,介绍了一种用于气动人工肌肉(PAM)的开关模型预测控制器(sMPC)。该控制方案基于切换的PieceWise Affine(PWA)系统模型近似值,该模型能够捕获PAM的高非线性度,同时提高整体模型精度,并且包括:(a)前馈项调节控制输入特定的参考设定点,以及(b)切换模型预测控制器,以处理与系统平衡点的任何偏差。目前正在进行扩展的实验研究,以证明整体方案的效率。

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