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Research On Backstepping Control Algorithm Of Boost DC-DC Converter Combined With Disturbance Observer

Posted on:2020-05-19Degree:MasterType:Thesis
Country:ChinaCandidate:J J LiFull Text:PDF
GTID:2392330590474489Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
DC-DC converters play an important role in power electronics,and the performance of converters often has a direct impact on electronic equipment.In particular,the system consisting of the boost DC-DC converter has a non-minimum phase problem,and the system has strong nonlinearity,which brings great challenges to system control.In this paper,the different operation states of the boost DC-DC converter are analyzed in detail.By using MATLAB/SIMULINK,the system model is established based on the average dynamic equation of the converter.For the two kinds of interference scenarios,such as load abrupt change and reference voltage abrupt change,simulation is performed under double closed-loop PID control to obtain load output voltage and inductor current.This is the basis for comparison of the subsequent control methods.Aiming at the problems of long disturbance recovery time and large overshoot in the double closed-loop PID control system,this paper adopts the brain emotional learning control method of biological heuristic algorithm to control the boost DC-DC converter.At the same time,according to the characteristics of the converter circuit,the expressions of the input signal and reward function in brain emotional learning are designed.Under the same simulation conditions,the brain emotional learning control algorithm significantly speeds up the system setup time and shortens the recovery time after the system is disturbed by the load.Furthermore,in order to solve the problem of large inductance current jitter of boost DC-DC converter system disturbed by sudden change of reference voltage,a new control method combining backstepping method with disturbance observer is proposed in this paper.By designing Lyapunov function,the stability of the control algorithm is proved.The simulation results show that the dynamic performance of the converter system,such as setup time,disturbance recovery time,overshoot and current stability are greatly improved by the control method.Finally,based on the dSPACE hardware-in-the-loop simulation platform,the physical circuit of the boost DC-DC converter is built.The three control methods in this paper are experimentally verified.Through comparison,the experimental results of the three control methods are basically consistent with the simulation results.Therefore,the control method in this paper is also feasible in practical applications.
Keywords/Search Tags:boost DC-DC converter, brain emotional learning control, backstepping control, disturbance observer, dSPACE
PDF Full Text Request
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