用滑模控制器的离散时间实现增强匹配摄动衰减

Olivier Huber, Vincent Acary, B. Brogliato
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引用次数: 6

摘要

当嵌入Filippov的数学框架时,连续时间滑模控制产生了具有集值控制器的闭环系统,由微分包含表示。特别是,除了对滑动曲面的有限时间收敛和对匹配扰动的鲁棒性外,这种控制器还允许对滑动流形上的扰动进行精确补偿。换句话说,集值输入是负扰动的精确拷贝。最近,作者提出了一种新的离散化方法,该方法基于菲利波夫微分包含的隐式离散化,从理论上完全抑制了离散化引起的抖振(数值抖振)。在这项工作中,我们提出了隐式方法的扩展,通过使用集值输入的先前值来增强扰动衰减(就抖振而言)。这允许在线估计未知的扰动,由于采样的时间延迟。仿真结果验证了该方法的有效性。
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Enhanced matching perturbation attenuation with discrete-time implementations of sliding-mode controllers
Continuous-time Sliding Mode Control yields when embedded into Filippov's mathematical framework, closed-loop systems with a set-valued controller, represented by differential inclusions. In particular, besides finite-time convergence to the sliding surface and robustness to matched disturbances, such controllers allow an exact compensation of the disturbance on the sliding manifold. In other words, the set-valued input is the exact copy of minus the perturbation. A novel discretization methodology has been recently introduced by the authors, which is based on an implicit discretization of the Filippov's differential inclusion, which in theory totally suppresses the chattering due to the discretization (numerical chattering). In this work we propose an extension of the implicit method, enhancing the perturbation attenuation (in terms of chattering) by using previous values of the set-valued input. This allows to estimate on-line the unknown perturbation, with a time delay due to the sampling. Simulation results illustrate the effectiveness of the method.
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