基于FULMS算法的压电机敏柔性结构振动主动控制

Active Vibration Control of Piezoelectric Smart Flexible Beam Based on FULMS Algorithm

面向航空航天器挠性结构振动主动控制研究背景,针对FXLMS控制算法无法直接从振动结构提取参考信号的缺陷,以经过传感器作动器优化配置的压电机敏柔性梁为模型结构,研究了一种基于多通道FULMS算法的结构振动主动控制器.针对参考信号取自激振信号和直接取自振动结构两种情况,对FXLMS控制算法及FULMS控制算法进行了仿真分析与验证;结果表明FXLMS算法高度依赖参考信号选取,FULMS算法相对FXLMS算法具有更好的收敛性,且能够实现参考信号直接提取策略.在此基础上构建了测控系统和实验平台,进行基于多通道FULMS控制算法的压电柔性结构振动主动控制实验,验证了参考信号从振动结构中直接提取策略的可行性与多通道FULMS控制算法的有效性.

Facing the background of active vibration control of large flexible space structures, a multiinput multi-output（MIMO） active vibration controller was analyzed and implemented based on filtered-U least mean square （FULMS）algorithm. It could solve the problem that the reference signal of fihered-X least mean square （ FXLMS ） algorithm can not be extracted from the vibration response of the controlled structure. By analyzing FULMS algorithm and the basic control process briefly, simulations of FXLMS and FULMS algorithm were done respectively while the exciting signal was picked as the reference signal and the reference signal was extracted from controlled beam. Taking the configured piezoelectric beam as research object, FULMS control experiment was done on the vibration control platform. Both simulation and actual experiment results show that the designed MIMO FULMS algorithm based vibration controller has a good control performance, with rapid convergence, and it could extract reference signal from vibration response of the controlled structure directly.