Design and Implementation of a Hybrid Control Strategy for an Active Vibration Isolation System

Author(s):  
Yisheng Zhang ◽  
Andrew G. Alleyne ◽  
Danian Zheng

Controller design methodologies based on a single controller are often unable to provide both high performance (i.e., tracking bandwidth) and desired robustness (i.e. retaining stability) in the presence of uncertainty or plant variation. This paper presents a hybrid control strategy to circumvent the basic trade-off between performance and robustness from an individual controller. This hybrid control strategy utilizes a robust controller for guaranteed robustness when the plant model is not well known, and makes an adaptive controller active for high performance after sufficient plant information has been collected on-line. To avoid a degraded transient after controller switching, a bumpless transfer scheme is designed and incorporated into this hybrid control strategy. This bumpless transfer design is a novel extension from a conventional latent tracking bumpless transfer design for a SISO plant with 1 DOF controllers to either a SISO plant with multiple DOF controllers or a MIMO plant. Experimental results implemented on an active vibration isolation testbed demonstrate the effectiveness of the hybrid control strategy including the bumpless transfer design.

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-11
Author(s):  
Bo Zhao ◽  
Weijia Shi ◽  
Ming Zhang ◽  
Jiaxin Li ◽  
Feng Li

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.


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