Paper Info
Title
Application of Independent-minded Particle Swarm Optimization for design of class-E amplifiers
Abstract
The class-E amplifier is one of the switching amplifiers, which satisfies the class-E switching conditions. It is, however, difficult to determine the values of the passive elements included in the circuit for achieving the class-E switching conditions. Recently, the Newton type algorithm is proposed to determine the passive elements. However, this method requires a good initial estimation. In this paper, an algorithm using Independent-minded Particle Swarm Optimization (IPSO) is introduced to estimate the initial conditions. To find it efficiently, the MOSFET in the class-E amplifier is replaced with an ideal switch and the objective function for the optimization is efficiently evaluated. Unfortunately, the objective function has multimodal characteristics and a robust optimization method is required. Then, the optimum solution is found by using IPSO which shows good performances for multimodal cases. Therefore, the initial estimation for the Newton type algorithm is easily obtained and a good design of the class-E amplifier becomes available.
Year
DOI
Venue
2012
10.1109/SCIS-ISIS.2012.6505142
SCIS&ISIS
Keywords
Field
DocType
mosfet,amplifiers,logic design,particle swarm optimisation,ipso,newton type algorithm,class-e amplifier design,class-e switching condition,independent-minded particle swarm optimization,metal-oxide-semiconductor field effect transistors,objective function,switching amplifier
Particle swarm optimization,Mathematical optimization,Computer science,Control theory,Robust optimization,Multi-swarm optimization,MOSFET,Amplifier
Conference
ISSN
ISBN
Citations 
2377-6870
978-1-4673-2742-8
1
PageRank 
References 
Authors
0.40
1
2
Name
Order
Citations
PageRank
Haruna Matsushita1338.98
yuichi tanji23212.18