Abstract：The coupled rigid and flexible system that connects rigid hub and flexible attachment through flexible joint is widely applied in areas like satellite solar panels and space robot. The vibration generating by slewing and external disturbance excitation will affect the stability and pointing accuracy of the system, while more vulnerable to flexible structure with connected parts. Experimental setup of the rotating two-connected flexible beam is designed and built up, and vibration frequency response feature analysis based on piezoelectric sensor signal is conducted. The PD algorithm and proposed RBF-based self-adaptive fuzzy neural network algorithm are applied to AC servo motor actuator for conducting the set-point active vibration control experiments. Experimental results show that vibrations are significantly suppressed when applying the proposed RBF-based self-adaptive fuzzy neural network algorithm.
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