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Hybrid Filtered-x Adaptive Vibration Control with Internal Feedback and Online Identification

机译：具有内部反馈和在线识别的混合Filtered-x自适应振动控制

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摘要

Active control is an effective way to suppress low-frequency mechanical vibration. However, with applications to submarine equipment, there are still some shortcomings due to vibration coupling and multifrequency complex excitation. In this paper, a novel hybrid improved adaptive control strategy, feedback and online identification filtered-x LMS, namely, FOFxlms, is proposed, which introduces the residual errors to correct variable step-size, uses the estimated primary path to improve online identification, and applies internal feedback to compensate for the feedforward control. Then the FOFxlms algorithm is applied to a double-layer vibration isolation system of submarine rotating equipment, and the simulation results show that the normalized variable step-size with residual error can effectively improve convergence speed, the internal feedback can efficaciously compensate for steady-state control accuracy, and the online identification can dynamically identify the time-varying characteristics of the secondary path. The vibration reduction efficiency of Fxlms, FFxlms, and FOFxlms increases for the fundamental frequency vibration; the control effect and convergence speed are also enhanced in turn.
机译：主动控制是抑制低频机械振动的有效方法。但是，在海底设备的应用中，由于振动耦合和多频复合激励仍然存在一些缺点。本文提出了一种新颖的混合改进的自适应控制策略，即反馈和在线识别滤波-x LMS，即FOFxlms，它引入了残差来校正可变步长，并使用估计的主要路径来改进在线识别，并应用内部反馈来补偿前馈控制。然后将FOFxlms算法应用于潜艇旋转设备的双层隔振系统中，仿真结果表明，归一化的具有剩余误差的可变步长可以有效地提高收敛速度，内部反馈可以有效地补偿稳态。控制精度，并且在线识别可以动态识别辅助路径的时变特性。 Fxlms，FFxlms和FOFxlms的减振效率随基频振动而增加;控制效果和收敛速度也随之提高。

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