Active Noise Reduction Of Range Hood Based On Frequency Domain Adaptive Algorithm

In today’s era of more and more attention to the quality of life,there is a growing demand for the establishment of quiet and comfortable living space,and these Spaces include the indispensable kitchen.This paper studies the household appliances commonly used in the kitchen-range hood,it is expected to reduce a lot of noise generated when the range hood is working,in order to reduce the user’s auditory burden.Passive noise reduction is usually very effective for middle and high frequency noise,but it has no effect on low frequency noise,which affects people’s physical and mental health.Active noise reduction has better effect on low frequency noise,so this paper uses active noise reduction technology to study the noise control of range hood.In order to study the effect of active noise control system algorithm on the noise control of range hood,combined with the existing conditions of the laboratory,MATLAB was used as the core controller to build a test platform for the active noise control of single-channel range hood.In this paper,the actual off-line identification of the secondary path is completed based on the test platform,and the influence of the identification accuracy of the secondary path on the noise reduction performance is analyzed.In this way,the identification and verification methods in several literatures are comprehensively adopted,including Model Residual method,Magnitude Mean Square Coherence(MMSC)and Power Spectral Density Calibration(PSDC),and the Identification and Test Transfer Function Comparison method.The identification accuracy of the secondary path is tested,so as to analyze and determine the reliability of the secondary path estimation model from a more comprehensive perspective.The test results prove that the identification results are highly accurate.Aiming at the narrow band noise in the spectrum peak of range hood,the feedback frequency selection algorithm is used to control the noise.Firstly,the parallel frequency selection noise reduction simulation is carried out on the multi-frequency noise and the range hood recording,and the results are shown as the superposition of the noise reduction effect of the separate simulation of each target frequency noise,which verifies the effectiveness of the parallel system.Then,the noise reduction experiment is carried out on the test platform of the single-channel feedback structure system.The results show that the noise amplitude at the selected target frequency is attenuated,which verifies the effectiveness of the adopted algorithm.Aiming at the overall wideband noise control of range hood,simulation and experimental research are carried out by using feedforward FBFXLMS algorithm.Firstly,the single-frequency narrowband noise and the recorded broadband noise of the range hood are simulated respectively.The simulation results show that the single-frequency noise is almost completely suppressed,and the broadband noise of the range hood is reduced about 17 d B when the delay is compensated,which shows that the algorithm is feasible for the noise reduction of the range hood theoretically.Then,the noise reduction experiment is carried out on the test platform of the single-channel feedforward structure system.Finally,the broadband noise reduction of the range hood is about 3d B.The experimental results show that the feedforward FBFXLMS algorithm has a certain effect on the actual noise control of the range hood.In summary,the research results of this paper have certain reference value for active control of range hood noise.