Modeling and numerical methods for power electronic devices

silicon controlled rectifier;SCR;PNPN;latch-up;14-nm;switched-mode power supply;SMPS;flyback;boost;state vector simulation;event detection

Reiman, Collin Michael

关键词: silicon controlled rectifier;    SCR;    PNPN;    latch-up;    14-nm;    switched-mode power supply;    SMPS;    flyback;    boost;    state vector simulation;    event detection;   

Others  :  https://www.ideals.illinois.edu/bitstream/handle/2142/105674/REIMAN-DISSERTATION-2019.pdf?sequence=1&isAllowed=y

美国|英语

来源: The Illinois Digital Environment for Access to Learning and Scholarship

【 摘 要 】

A scalable I-V model for latch-up in non-collinear PNPN devices is adapted from a previous model for collinear SCR devices. The model is applied to 14-nm FinFET test structures. Layout scaling trends for key latch-up metrics, such as holding and trigger voltage, are captured by the model in circuit simulation. TCAD simulation is used to gain physical insight into the behavior of non-collinear PNPN devices.The dynamic behavior of switched-mode power supplies is simulated by adopting a state-space representation. Piecewise linear models are used to represent the nonlinear switching devices within the power supplies. With state-space representation models, averaging techniques can be used to speed up simulation time. A reduced-order averaged model is used to predict the dynamic turn-on behavior of a flyback converter. A correction factor is added to the model to account for the effect of the snubber circuit. An Elementary Effects algorithm and a Bayesian inference routine are used to fit the averaged model to a more expensive netlist model.State-space models can also be used with the sampled-data method for state vector simulation. This approach is more accurate than the averaged model, but more computationally expensive. Computation time is reduced by calculating the matrix exponential using a decomposition method. With an efficient means of computing the matrix exponential, switching instances are updated reliably from previous computed values, providing a very quick means for event-detection state vector simulation.