Power electronic circuit optimization method based on particle swarm algorithm

Abstract

The demand for automation design of power electronic circuits becomes higher and higher with the development of the power electronic technology. In the invention, a particle swarm algorithm is applied to the design and optimization of the power electronic circuits, and the invention mainly relates to the power electronics field and the intelligent computation field. In the optimization method, an optimization process is divided into two parts by a decoupling technology to respectively optimize the power transmission of the power electronic circuit and a feedback network. Meanwhile, a mutation operator is introduced into the particle swarm algorithm to increase diversity of the swarm and improve the optimization efficiency of the algorithm. The optimization design of a buck converter is taken as an example for testing, which proves that the optimization method is very effective.

Description

Technical field:

[0001] The invention relates to two fields of power electronics and intelligent computing, and mainly relates to a method for optimizing a power electronic circuit based on a particle swarm algorithm. technical background:

[0002] Power electronic circuits can effectively control power transmission by adjusting the supply current or voltage to adapt to the user's load, and have been widely used in various daily devices, such as mobile devices, computers, televisions, and uninterruptible power supplies. With the advancement of semiconductor technology and electronic packaging technology, the demand for automatic generation of power electronic circuits is getting higher and higher.

[0003] The methods of automatic circuit design and optimization are mainly divided into two types: deterministic algorithm and stochastic algorithm. Deterministic algorithms, such as gradient methods and hill-climbing methods, tend to fall into local optima, resulting in subopti...

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