1. School of Mechatronics Engineering and Automation, Shanghai University, Shanghai 200072 China;
2. School of Electrical Information Engineering, Henan Institute of Engineering, Henan 451191 China
Abstract：Vibration suppression of aerospace vehicles is a hot spot, in which filter-u least mean square (FULMS) algorithm is a promising control algorithm. But vibration reference signal extraction is always a difficult problem for FULMS algorithm. By picking the vibration residual response signal, an improved FULMS algorithm is proposed to construct the reference signal that is related to external disturbance signal using the controller structure and the algorithm data. An experiment platform is constructed for testing the piezoelectric smart aircraft framework structure. Modal analsis for the experiment structure is done, as well as optimal configuration of the piezoelectric sensors and actuators. The simulation and experiment results show that the proposed algorithm solves the reference signal extraction problem with good convergence speed and good vibration suppression performance. The proposed algorithm is more practical with a good vibration suppression performance. It has positive significance for pushing adaptive filter vibration control closer to reality.
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