Exciting Frequency Optimization for Electromagnetic Flow Meter with Genetic Algorithm

This paper analyzes the relationship between excitation frequency and measurement error, then a method of excitation frequency optimization for electromagnetic flowmeter with genetic algorithm is presented. The main goal is to obtain optimal value, under which, the measurement error achieves the minimal. The presented method is completed on the basis of existing calibration system. The results of research demonstrate that the proposed method improves the measurement precision.