{"title":"A physical GTO model for circuit simulation","authors":"D. Metzner, D. Schroder","doi":"10.1109/IAS.1992.244429","DOIUrl":null,"url":null,"abstract":"Purely based on semiconductor physics, a nonquasistatic gate turn-off thyristor (GTO) model for network simulators is developed. Since the basic semiconductor equations can only be solved by CPU-time-consuming 2-D device simulations (e.g. by PISCES), this approach is not suited for the simulation of topologies. But taking advantage of the device understanding gained from 2-D device simulations (dynamics of carrier concentrations) and experimental results, the partial differential equations can be reduced to a system of ordinary differential equations (state equations). The central part of the model is a segmentation approach to solve the diffusion equation for charge carriers in the injected regions. Thus, only physical and geometric device parameters are necessary in order to adjust the model to a specific device. Although the proposed model is one-dimensional, it allows the simulation of important dynamic characteristics such as current tail, dynamic avalanche, and storage time in a complex circuit surrounding.<<ETX>>","PeriodicalId":110710,"journal":{"name":"Conference Record of the 1992 IEEE Industry Applications Society Annual Meeting","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Record of the 1992 IEEE Industry Applications Society Annual Meeting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAS.1992.244429","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
Purely based on semiconductor physics, a nonquasistatic gate turn-off thyristor (GTO) model for network simulators is developed. Since the basic semiconductor equations can only be solved by CPU-time-consuming 2-D device simulations (e.g. by PISCES), this approach is not suited for the simulation of topologies. But taking advantage of the device understanding gained from 2-D device simulations (dynamics of carrier concentrations) and experimental results, the partial differential equations can be reduced to a system of ordinary differential equations (state equations). The central part of the model is a segmentation approach to solve the diffusion equation for charge carriers in the injected regions. Thus, only physical and geometric device parameters are necessary in order to adjust the model to a specific device. Although the proposed model is one-dimensional, it allows the simulation of important dynamic characteristics such as current tail, dynamic avalanche, and storage time in a complex circuit surrounding.<>