FTF自适应主动控制算法的参数研究及应用

Parametric study and application of FTF adaptive active control algorithm

自适应控制是近年来在噪声控制和振动控制领域日益受到重视的一种重要方法。快速横向滤波(FTF)自适应主动控制算法是其中一种很有价值的快速算法,拥有收敛速度快、精度高、计算量适中等突出优点。首先介绍了FTF算法的原理,并给出了它的计算流程。在此理论基础上,基于MATLAB平台做了大量自适应系统辨识背景的仿真实验,对可能影响FTF算法性能的各种参数做了详细的研究和总结。结果表明,初值、滤波器抽头数、迭代次数等参数特性等都密切影响着FTF算法的性能。最后做了一个仿真实验将FTF算法应用到了有源噪声控制上。

Adaptive control is a very important method in the fields of noise and vibration control. The fast transversal filter （FTF） adaptive active control algorithm is a valuable fast algorithm with the outstanding advantages of good convergence performance, higher accuracy and moderate computational complexity. The paper first introduces the theory and gives the calculation flow of the FTF algorithm. On the basis of the theory, a lot of adaptive system simulation experiments have been done based on MATLAB to study and summarize the various parameters that may affect the performance of the FTF algorithm in detail. The results show that the parameter characteristics of the initial value, the number of filter taps and the number of iterations closely affect the performance of the FTF algorithm. Finally, the FTF algorithm is applied to an active noise control simulation experiment.