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Desired Compensation Adaptive Robust Control of an Active Vibration Isolation System

机译:主动隔振系统的期望补偿自适应鲁棒控制

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摘要

Active vibration isolation system (AVIS) has attracted increasing attention of researchers in precision engineering. In this paper, a desired compensation adaptive robust controller (DCARC) is proposed for an AVIS developed in our laboratory. The AVIS composed of one platform and three active isolators is required to achieve high-performance vibration isolation as well as low trajectory tracking error for positioning. The vertical three degrees of freedom (DOFs) and horizontal three DOFs are decoupled by the joint bearing of the isolators. The dynamic model of the system is built and is simplified to three single-input-single-output (SISO) systems. The DCARC control scheme is then proposed, which contains a deterministic robust control (DRC) term and an adaptive control (AC) term. The high performance in vibration isolation and positioning can be subsequently achieved, even the actual load and system stiffness are unknown and there exists direct bounded disturbance on the platform. The AC term is designed to estimate the unknown parameters of the system. The DRC term can improve the robustness of the system, which is used to reject the direct disturbance and the parameter estimation error. Furthermore, the computing time and the influence of the measurement noise can be reduced effectively by reason of desired compensation. The numerical simulation and comparative experiments are carried out under the conditions of using DCARC, DRC, and AC controllers. The experimental results validate that the proposed DCARC control strategy outperforms other control method and possesses both high-performance vibration isolation and low tracking error.
机译:主动隔振系统(AVIS)引起了精密工程研究人员越来越多的关注。在本文中,针对我们实验室开发的AVIS提出了一种理想的补偿自适应鲁棒控制器(DCARC)。需要一个由一个平台和三个有源隔离器组成的AVIS来实现高性能的振动隔离以及较低的定位轨迹跟踪误差。垂直三个自由度(DOF)和水平三个自由度通过隔离器的关节轴承解耦。建立了系统的动态模型,并将其简化为三个单输入单输出(SISO)系统。然后提出了DCARC控制方案,该方案包含确定性鲁棒控制(DRC)项和自适应控制(AC)项。随后,即使在实际载荷和系统刚度未知的情况下,也可以实现隔振和定位的高性能,并且平台上存在直接的边界干扰。 AC项旨在估计系统的未知参数。 DRC项可以提高系统的鲁棒性,用于拒绝直接干扰和参数估计误差。此外,由于期望的补偿,可以有效地减少计算时间和测量噪声的影响。在使用DCARC,DRC和AC控制器的条件下进行了数值模拟和对比实验。实验结果验证了所提出的DCARC控制策略优于其他控制方法,并具有高性能的振动隔离和低跟踪误差。

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