Nonlinear program based optimization of boost and buck-boost converter designsThe facility of an Augmented Lagrangian (ALAG) multiplier based nonlinear programming technique is demonstrated for minimum-weight design optimizations of boost and buck-boost power converters. Certain important features of ALAG are presented in the framework of a comprehensive design example for buck-boost power converter design optimization. The study provides refreshing design insight of power converters and presents such information as weight and loss profiles of various semiconductor components and magnetics as a function of the switching frequency.
Document ID
19830029798
Acquisition Source
Legacy CDMS
Document Type
Conference Proceedings
Authors
Rahman, S. (Virginia Polytechnic Inst. and State Univ. Blacksburg, VA, United States)
Lee, F. C. (Virginia Polytechnic Institute and State University Blacksburg, VA, United States)