Parameter Identification Method for Transient Impact Interference of Vortex Sensor Based on Optimal Estimation of Objective Function

Abstract

The application occasion of vortex flowmeter is complex and changeable, and it is easily interfered by various transient impacts, which may cause the flowmeter to fail to measure correctly. In order to find a reliable solution, it is the key to find a method to identify the parameters of transient impact interference output by vortex sensor effectively. Based on the analysis of the vortex flowmeter piping system, a real number form of the composite Laplace wavelet with unilateral attenuation is used to describe each main mode of transient impact interference output by the vortex sensor. Considering that the transient impact interference has multi-modal characteristics, including dense modes, the objective function is constructed, a genetic algorithm combined with BFGS quasi-Newton method is used to search for the optimal estimation of the objective function, and a parameter identification method of the transient impact interference based on the optimal estimation of the objective function is proposed. The effectiveness and reliability of the parameter identification method for the transient impact interference output by vortex sensor are verified by simulation experiments and transient impact interference platform experiments.