Research on Predictive Control Technology and Analysis Method of High-Frequency Ultrasound System in Rehabilitation Scenarios

To solve the problems of low power transmission and energy conversion rate caused by insufficient resonant frequency tracking performance in the field of high-frequency ultrasonic system, a predictive control technology of ultrasonic system with low control operation amount and high resonant frequency tracking performance is studied to ensure the best sound power output of ultrasonic system in high-frequency rehabilitation treatment scenarios. A back-propagation neural network predictive control model is established with electrical and environmental parameters as input and ultrasonic driving signal frequency as output, together with the Improved Sparrow Search Algorithm(ISSA) is embedded in the system. A simulation of COMSOL and physical experiment platform is built to analyze and verify the control effect. The results show that the technology can efficiently predict the frequency of ultrasonic driving signal, so that the maximum error of output electrical power and sound power is 0.34% and 0.65%, respectively, and the average control time is 0.91s, which provides a feasible control method for high-frequency ultrasonic system in rehabilitation scenarios.