Robust Parameter Design Of Switching Mode Power Supply Considering Temperature Influence

Switching mode power supply(SMPS)is used for kinds of electronic equipment,because of high efficiency,light weight,small size and other characteristics.With development of higher reliability and long life of electronic equipment,the user puts forward higher requirements for quality performance and reliability of SMPS.In fact,the quality of SMPS is directly affected by environment fluctuations(such as temperature),device fluctuations(such as manufacturing noise),and it will lead to unstable phenomenon of product quality.Considering the impact of uncertain factors when SMPS is designed,and the robustness and reliability of SMPS will be effectively enhanced.The paper takes SMPS as the research object,has an in-depth study on parameter robust design method of considering temperature effect,the main contents are as follows:Firstly,the simulation model of the typical SMPS circuit is built in the Saber,and to compare the simulation model with hardware circuit.And the temperature characteristics of the components are analyzed and established.Then,build the simulation model considering temperature and analyze the influence of temperature on output of circuit.Secondly,based on the traditional Taguchi parameter design method,a twodimensional noise parameter design method considering manufacturing and temperature noise is proposed.Taking the typical SMPS circuit as an example,the key parameters of the circuit is selected by the sensitivity analysis.Then,the two-dimensional noise design scheme is built and the data are obtained by simulation.After that,the optimal design is obtained by data processing and verified by Monte Carlo simulation.Thirdly,study a multi-objective parameter optimization method of considering temperature.First,build sample space by design of experiment,and select the key temperature point according to the output pass rate.And establish the approximate model of input variable and output response of Boost circuit.Then,establish the multi-objective robust optimization model of SMPS under wide temperature range,and optimize by the multi-objective genetic algorithm.Last,verify the effect of optimal design of different temperature points by Monte Carlo simulation.Finally,develop software platform of robustness parameter design of circuit by Saber and QT.The platform will develop an interface with Saber,and integrate modeling,analysis and design functions into the platform.Take a noise amplifier circuit as an example to design parameter by software platform,and the result shows the Versatility and effectiveness of software platform.