Active Composite Control of Disturbance Compensation for Vibration Isolation System with Uncertainty
Actuators, ISSN: 2076-0825, Vol: 13, Issue: 9
2024
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Actuators, Vol. 13, Pages 334: Active Composite Control of Disturbance Compensation for Vibration Isolation System with Uncertainty
Actuators, Vol. 13, Pages 334: Active Composite Control of Disturbance Compensation for Vibration Isolation System with Uncertainty Actuators doi: 10.3390/act13090334 Authors: Zhijun Zhu Yong Xiao
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Research from National University of Defense Technology Broadens Understanding of Actuator Research (Active Composite Control of Disturbance Compensation for Vibration Isolation System with Uncertainty)
2024 SEP 19 (NewsRx) -- By a News Reporter-Staff News Editor at Engineering Daily News -- Researchers detail new data in actuator research. According to
Article Description
The pointing and positioning accuracy of precision instruments in aerospace are often disturbed by low-frequency vibrations. An active/passive vibration isolation system is a feasible solution to suppress low-frequency vibrations. However, the vibration isolation performance of the active control strategy is seriously affected by the uncertainty of the system and the difficulty to meet the higher requirements of new-generation equipment. This paper proposes an active composite control (ACC) strategy for vibration isolation systems with uncertainty. The proposed ACC integrates feedforward control based on known systems and feedback control based on the Kalman filter for systems with uncertainty. Further, the derivation and stability analyses of the proposed ACC algorithm are provided, and the influence of system uncertainty on vibration isolation performance based on the proposed ACC is analyzed. Experimental verification is conducted and the experimental results confirm that the proposed ACC can effectively realize the low-frequency and wide-band vibration isolation for the system with uncertainty. Starting from 30 Hz, the vibration isolation performance of the proposed ACC with uncertainty is significantly improved than that of the ACC completely based on a deterministic system model.
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