Parallel Tolerance Analysis of a Power Electronic Converter by the Genetic Algorithm with the Island Model
作者单位：Department of Electrical EngineeringDoshisha University KyotanabeKyoto610-0321JAPAN Department of Electrical EngineeringDoshisha University KyotanabeKyoto610-0321JAPAN Department of Electrical EngineeringDoshisha University KyotanabeKyoto610-0321JAPAN Department of Electrical EngineeringDoshisha University KyotanabeKyoto610-0321JAPAN
会议名称：《第4届国际电力电子及运动控制国际会议》
会议日期：2004年
学科分类：080801[工学-电机与电器] 0808[工学-电气工程] 08[工学]
基 金：This paper was supported with the aid of RCAST Research Fund of Doshisha University
关 键 词：tolerance analysis power converters genetic algorithm parallel processing DGA
摘 要：正 It is necessary to consider variations of circuit element values for a power electronic converter design to satisfy a given specification. This analysis is so-called tolerance or worst-case analysis. The analysis is a sort of nonlinear minimum and maximum （min/max） problem with respect to circuit parameters. However its computation cost is large and practically the problem is converted to a simpler and easier one with various techniques. This paper proposes an approximate method which finds a quasi-min/max solution by applying the Genetic Algorithm （GA）. The GA models an evolution process of life forms for an engineering use and it is mainly applied to an optimization problem to utilize its selection process. This paper proposes the GA method which is based on the island model and suitable for the parallel tolerance analysis to find quasi-optimal solutions. Output voltage variations, for example, of a Cuk converter for element parameter variations are analyzed.