Research On Digital-Analog Mixed Mode Switching Power Supply Control Technology Based On Single Neuron Adaptive PID Algorithm

In recent years,with the development of power electronic technology,switching power supplies,as the basic component of all electronic equipment,are widely used in all aspects of national defense,military production,industrial life,and daily life,and the control system as the soul of switching power supplies is essential,so Research on switching power supply control technology is of great significance.This article studies the control system of digital-analog hybrid switching power supply for Buck switching converter.The thesis first adopts the state space averaging method to mathematically model the Buck converter to give the transfer function of the main topology,and based on this mathematical model,the simulation loop parameter design of the Buck converter using the peak current control mode is designed.Secondly,the paper introduces a single neuron adaptive PID(SNA-PID)controller with a simple structure as a digital controller-of a digital-analog hybrid system to improve the shortcomings of low precision and poor adaptability of the analog control loop.In this paper,a conventional PID controller and a single neuron adaptive PID controller are designed respectively,and the peak current mode control loop simulation model and digital algorithm model are built on the Matlab/Simulink platform for simulation.The simulation results show that the Buck converter with an input voltage of 100V and a switching frequency of 50KHz,when compared with the analog control loop in peak current mode and the digital-analog hybrid control loop based on the conventional PID algorithm,when the output voltage is 50V,the load At 10Ω,the output error of the digital-analog hybrid control loop based on the single neuron adaptive PID is reduced by 80%and 3%respectively.When the load changes by 5Ω,the digital-analog hybrid control loop based on the single neuron adaptive PID The dynamic response time has been shortened by 81.8%and 33.3%,and the overshoot has been reduced by 81.4%and 58.8%,which effectively improves the output accuracy and stability of the Buck switching power supply system.At the same time,it is proved that the single neuron adaptive PID algorithm has a better control effect in switching power supply control than the conventional PID algorithm,and can effectively improve the dynamic performance of the system.On this basis,the thesis completes the system hardware and software design and implementation.The hardware circuit includes the main circuit of the Buck converter,analog control circuit,voltage and current detection circuit,drive circuit,auxiliary power supply,etc.,and the software system includes interrupt subroutine,algorithm program,upper computer program,etc.At the end of the paper,an experimental platform was built based on the power prototype to verify the control system function.After verifying that the functions of the control system were correct,the control effects of the single neuron adaptive PID algorithm and the conventional PID algorithm in the digital-analog hybrid control system were compared.The experimental results are basically consistent with the simulation results,which verifies the feasibility of the paper's algorithm and scheme.The research results of the paper show that the Buck-type switching power supply based on the single neuron adaptive PID algorithm to build a digital-analog hybrid control mode has advantages in output accuracy,dynamic response speed and stability.