Optimal Feedback Loop Algorithm for Automatic Control of Ultrasonic Gas Flowmeter

At present, the signal detection principle of the ultrasonic flowmeter can be roughly divided into propagation velocity difference method, the beam shift method, the Doppler method, correlation method, spatial filtering method and noise method, and hence, the proper selection of the methods will be essential for the success of the modelling. This paper then studies the optimal feedback loop algorithm for the automatic control of ultrasonic gas flowmeter. Firstly, the ultrasonic gas flow measurement principle is introduced, considering that the time difference measurement principle will use the movement time difference of ultrasonic waves in the case of forward flow and reverse flow to measure gas flow. Secondly, realization of the intelligent ultrasonic gas flow measuring system is studied. Here, the Butterworth filters are considered to maintain the useful ultrasonic signal in a proper frequency range by removing high and low frequency noise. Finally, the optimal feedback loop is considered to finalize the model. The proposed experiment will provide the high-speed comparison of signal waveform simulation to show the visualized performance and then, the error comparison analysis in conducted to test the performance under different flow rate.