Simulation Study on Measurement Method of Flow Fluctuation Signal Based on Chaotic Oscillator

Huichao Shi, Lianfeng Cheng, Tao Meng, Wenlong Li
Abstract:
Based on the initial sensitivity of chaotic oscillator which is sensitive to regular signal and immune to noise simultaneously, the chaotic signal detection method can detect the signal submerged in the noise stronger than the measured signal, and relevant research has been applied to measure weak signals submerged by large noise. In this paper, chaotic oscillator is applied in flow fluctuation signal detection of a flow standard device, and a new detection model is proposed to detect the fluctuation signal using the maximum Lyapunov exponent to obtain the threshold value and monitor motions transition of detection system. The Holmes Duffing oscillator is chosen to work as the detection system. Fourth-order Runge-Kutta algorithm is used to solve the function of Holmes Duffing oscillator and to calculate maximum Lyapunov exponent. Simulation experiment on different frequencies fluctuation signal and under different levels of noises is conducted. Simulation results show that detection model can effectively detect the flow fluctuation signal output by flowmeter, and it is immune to the noises.
Keywords:
Flow standard facility; Flow fluctuation amplitude; Chaotic oscillator; Lyapunov exponent
Download:
IMEKO-TC9-2019-029.pdf
DOI:
10.21014/tc9-2022.029
Event details
IMEKO TC:
TC9
Event name:
FLOMEKO 2022
Title:

19th International Flow Measurement Conference 2022

Place:
Chongqing, CHINA
Time:
01 November 2022 - 04 November 2022