Research On Parameter Extraction Of Power Model Thyristors Based On Chaos Particle Swarm Optimization

As an important part of power electronics system,power semiconductor devices can not only control the power electronics system accurately,but also enable the power electronics system to efficiently convert electric energy.These important uses of power semiconductor devices,how to make the power semiconductor devices composed of power electronic systems become more efficient,accurate and reliable becomes very important.In the power electronics neighborhood,how to achieve more efficient energy conversion to improve energy efficiency,reduce power consumption,reduce costs has always been an important issue to be addressed.When designing power electronics,accurate simulation is the basis for predicting the electrical behavior of the system.In order to accurately describe the circuit and obtain the accurate simulation,we need to do a more in-depth study of the basic structure,working principle and dynamic characteristics of the power semiconductor device,and obtain the accurate and reliable physical model of the power semiconductor device and its related physical parameters.In this paper,the power thyristor for the experimental study of the object,first of all the power thyristor structure and working principle of the analysis,and then focus on the dynamic characteristics of the thyristor made a study to derive its dynamic process.Then a new parameter extraction method of power thyristor physical model is proposed.The precise model of power thyristor in Saber is used to simulate the software.The simulation waveform data is compared with the experimental waveform data,and the chaotic particle swarm optimization algorithm is used to extract the parameters.In this paper,we choose the dynamic characteristic process that can correctly reflect the internal parameters of the power thyristor,and extract the research object as the main parameter.Firstly,the connection and data transmission between Saber and Matlab are established,and the chaos particle swarm optimization algorithm is combined with the simulation experiment.Based on this,the basic flow of the simulation program is established,and the program based on the AIM language in Saber Design,the optimization function,Saber call command,data transfer instructions and fitness evaluation function integrated interconnection,built in Saber and Matlab co-simulation platform,the use of chaotic particle swarm optimization algorithm KP1600A3000 V completed the power thyristor experiments And physical model parameter extraction.Finally,the validity of the extracted physical parameters of the power thyristor is verified.The final results of the verification show that the method of extracting the physical model parameters of the power thyristor based on the chaotic particle swarm optimization algorithm is accurate and effective,and the parameters extracted can better reflect the dynamic characteristics of the device.