The Research On Active Noise Control In Vehicle Based On PZT

In this paper, using the forward and inverse piezoelectric effect of the piezoelectricmaterial to study on the active control of the cavity model internal noise. Taking cavitymodel for the study object, build an adaptive active noise control system to reduce noiseinside the cavity model. The main contents of this paper are:（1）Firstly, introduce the basic characteristics of the piezoelectric material. Usingthe impedance method to analyze simple-supported piezoelectric thin plates with differentsize piezoelectric ceramic patches, and to provide a reference for the selection of the bestsize of piezoelectric ceramic patches.（2）Using the finite element method to analyze the structure and the acousticcharacteristics of the cavity model. Using HyperMesh software to analyze the vibrationcharacteristics of the cavity model, and have reached vibration peak of each part of thecavity model occurred mainly in the low band of30~70Hz.Using Virtual.Lab Acousticssoftware to analyze the acoustic characteristics of the cavity model, and have reached atdifferent frequencies the larger noise contribution parts of the cavity model, and thendetermine the part to be controlled, as well as to determine the piezoelectric ceramicpatches position to be pasted.（3）Introduce the basic theories of the LMS algorithm and the improved LMSalgorithm (the MNVS algorithm), and analyze the factors that affect algorithmconvergence effect. In MATLAB/SIMULINK software, build graphical simulation modelof the two algorithms, and compare the noise reduction effect of the two algorithms, toprovide a reference for the following experiments.（4）Using the RTW of the MATLAB software establish a real-time control system,combined with the cavity model to build experimental platform for active noise control,and carry an experimental study of active noise control. The experimental results showthat the control system set up in this paper can achieve a better noise reduction effect.