基于模糊神经网络的逆变点焊电源控制优化OA

In allusion to the problems of slow dynamic response and insufficient robustness of traditional PID control in AC inverter spot welding power supplies,a fuzzy adaptive PID control strategy with collaborative optimization of hardware and software is proposed to improve the dynamic performance and anti-interference ability of AC inverter spot welding power and adapt to complex and variable welding conditions.At the hardware level,the main circuit is designed based on Multisim,the 600 V IGBT,50 A/1 000 V rectifier bridge and high-precision hall current sensor(CSM050B)are used to optimize the IGBT drive circuit(including optocoupler TLP521 and driver IR2110PBF)and current sampling system.At the software level,a two-input three-output fuzzy controller is constructed to adjust PID parameters online based on real-time error and error change rate,and Simulink is used to construct the model of the fuzzy control algorithm model,so as to realize secondary optimization of parameters by combing with the fuzzy neural network.The results show that,in comparison with traditional PID control,the system overshoot of the proposed strategy is reduced by 14.5%,the steady-state error is reduced by 25%,and the voltage waveform is symmetrical within the frequency range of 50～250 Hz.In comparison with with traditional power-frequency power supplies and similar inverter power supplies,the IGBT driving voltage is stabilized at 15 V/-7.5 V,the energy conversion efficiency is increased by 12%,and the secondary rectification loss is reduced by 9%.It indicates that collaborative optimization of hardware and software can effectively suppress power grid fluctuations and load disturbances,and significantly enhance the dynamic performance and robustness of the system.