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Adaptive vibration control of vibration isolation mounts, using an LMS-based control algorithm.

机译：使用基于LMS的控制算法对隔振支座进行自适应振动控制。

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摘要

This thesis investigates the possibility of actively controlling a two-stage vibration isolation mount so as to minimize the transmissibility through the mount. Based on the least-mean-squares (LMS) algorithm, an adaptive control system is developed which performs both system identification and control in real-time. The algorithm is generalized to be applicable for systems with multiple actuators and/or sensors. To demonstrate its performance, the adaptive controller is applied to a two-stage isolation mount to actively control vibration transmission through the mount. Experimental results are presented for both narrowband and broadband excitation signals. To demonstrate the capability of the controller to track changing systems, results are shown for several cases where the parameters of the two-stage isolation mount change in time. It is shown that adaptive control presents an excellent means of achieving optimal control at low frequencies where conventional passive control methods fail.; The issue of stability is investigated for several LMS-based algorithms, and it is demonstrated that narrower stability restrictions occur as a result of the transfer function between the control filter and the error sensor which exists in a physical system. The result is that in order to maintain stability, the algorithms have a smaller maximum convergence parameter of noise or vibration control applications than for corresponding signal processing applications with the same input.
机译：本文研究了主动控制两级隔振支架的可能性，以最大程度地减少通过支架的传递。基于最小均方（LMS）算法，开发了一种自适应控制系统，该系统可以实时执行系统识别和控制。该算法一般适用于具有多个执行器和/或传感器的系统。为了演示其性能，将自适应控制器应用于两级隔离支架，以主动控制通过支架的振动传递。给出了窄带和宽带激励信号的实验结果。为了演示控制器跟踪变化的系统的能力，显示了两级隔离安装的参数随时间变化的几种情况的结果。结果表明，自适应控制是实现传统被动控制方法失败的低频最佳控制的极好方法。研究了几种基于LMS的算法的稳定性问题，并证明了由于物理系统中存在的控制滤波器和误差传感器之间的传递函数，出现了更窄的稳定性限制。结果是，为了保持稳定性，与具有相同输入的相应信号处理应用程序相比，该算法在噪声或振动控制应用程序中具有较小的最大收敛参数。

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