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Multi-frequency micro-vibration control with hybrid adaptive control algorithm

机译:具有混合自适应控制算法的多频微振动控制

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摘要

As a popular adaptive algorithm for active vibration control (AVC), filtered-x least mean square (FxLMS) algorithm sometimes fails to suppress multiple narrowband disturbance. To control multi-frequency structure vibration, parallel-form FxLMS algorithm can be employed. However, the conventional parallel-form FxLMS does not perform well in the situation of disturbance frequency mismatch and wideband measurement noise. For this issue, the majority of the improvement approaches are based on adaptive frequency estimator. It increased the computational burden of the parallel-form FxLMS algorithm. Therefore, taking the advantage of feedback control, a hybrid adaptive control for AVC is proposed in this paper. And the "posterior" residual error is adopted for better robustness. The convergence analysis of the hybrid AVC algorithm is given. Co-simulations with ADAMS and SIMULINK are implemented to verify the effectiveness in micro-vibration control system. Some comparison experiments are implemented in a micro-vibration AVC experimental system for several typical disturbances. Experimental results confirm the feasibility and effectiveness of the proposed algorithm.
机译:作为用于有源振动控制(AVC)的流行自适应算法,过滤器X最小均方(FXLMS)算法有时不能抑制多个窄带干扰。为了控制多频结构振动,可以采用并行形式FXLMS算法。然而,传统的并行形式FXLMS在干扰频率失配和宽带测量噪声的情况下不执行良好。对于此问题,大多数改进方法都基于自适应频率估计。它增加了并行形式FXLMS算法的计算负担。因此,采用反馈控制的优点,本文提出了一种用于AVC的混​​合自适应控制。并采用“后后”剩余误差以更好的鲁棒性。给出了混合AVC算法的收敛性分析。利用ADAMS和SIMULINK的共同模拟实现以验证微振动控制系统的有效性。一些比较实验在微振动AVC实验系统中实现了几种典型扰动。实验结果证实了所提出的算法的可行性和有效性。

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