Abstract: For DC/DC converters, the T-S fuzzy neural network PID control algorithm is optimized to further enhance the dynamic performance of the converter during operation. The algorithm is verified through simulation in Simulink of MATLAB. The simulation results show that the overshoot of the DC/DC power supply output before reaching the steady state with the T-S fuzzy neural network PID algorithm is 5.41%, and the adjustment time is approximately 5.7 ms. Compared with the traditional PID and fuzzy control PID, there is a significant improvementin dynamic regulation performance. Through the construction of an experimental platform for testing, the output voltage ripple coefficient and regulation speed of the DC/DC converter with the T-S fuzzy neural network PID control algorithm have been improved.