Software Sensor for Airflow Modulation and Noise Detection by Cyclostationary Tools

Abstract

The paper presents tools to model low speed airflow coming from a turbulent machine. This low speed flow have instabilities who generate noise disturbances in the environment. The aim of the study proposed in this paper, is the using of cyclostationary tools with audio signals to model this airflow and detect the noisy frequencies to eliminate this noise. This paper also deals with the extraction in real time of the frequency corresponding to the noise nuisance. This extraction makes it possible to build a software sensor. This software sensor can be used to estimate the air flow rate and also to control a future actuator which will reduce the intensity of the noise nuisance. This paper focuses on the characteristic of the sound signal (property of cyclostationarity) and on the development of a software sensor. The results are established using an experimental setup representative of the physical phenomenon to be characterised.

[Retracted] Motion Control and Tracking Control of UAV Based on Adaptive Sensor

“…Due to the use of low-cost inertial devices, the device itself has great sensor noise [12] (2) Under low dynamic conditions: the UAV is affected by body jitter and airflow disturbance in the flight process, which is transmitted to the accelerometer and produces harmful accelerations. These harmful accelerations will pollute the triaxial acceleration value and then lead to the failure of UAV attitude calculation [13] (3) In high dynamic conditions, the UAV can be disturbed by some bad factors during flight, such as strong winds, turbulence, and birds. These sudden and dramatic changes will all cause triaxial acceleration to be unusable 3.1.4.…”