Sampled-data modeling of switching regulators
Sampled-data modeling of switching regulators
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DOI：
10.1109/pesc.1981.7083659
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发表时间：
1981-06
期刊：
影响因子：
--
通讯作者：
A. Brown;R. Middlebrook
中科院分区：
文献类型：
--
作者：
A. Brown;R. Middlebrook
两个开关稳压器建模技术，状态空间平均和离散建模的高频能力进行了比较。一种新的线性，小信号建模技术，它结合了连续形式的状态空间平均与离散建模的准确性，然后开发。这种新的方法，称为采样数据建模，成功的状态空间平均失败，在预测电流编程调节器的次谐波不稳定性，并被证明是高性能开关稳压器的设计中的重要用途。
The high-frequency capabilities of two switching regulator modeling techniques, state-space averaging and discrete modeling, are compared. A new linear, small-signal modeling technique, which combines the continuous form of state-space averaging with the accuracy of discrete modeling, is then developed. This new method, called sampled-data modeling, succeeds, where state-space averaging fails, in predicting the subharmonic instability in current-programmed regulators, and is shown to be of significant usefulness in the design of high-performance switching regulators.