Automated first-order design of double-sided telecentric zoom systems based on PSO algorithms

TL;DR

This paper introduces an efficient PSO-based method for automatically designing double-sided telecentric zoom systems with fixed focal points, significantly improving design speed and accuracy over traditional methods.

Contribution

The paper presents a novel PSO algorithm for first-order optical system design, enabling rapid and accurate creation of complex zoom lens configurations with fixed foci.

Findings

PSO outperforms Monte Carlo in design efficiency

Successfully designed a 4X zoom system with fixed foci

Demonstrated high potential for complex optical system design

Abstract

In this paper, we propose a new approach to automatically retrieve the first-order design of double-sided telecentric zoom systems with high efficiency based on Particle Swarm Optimization (PSO) algorithms. We transform the design problem to realize a zoom lens system with fixed positions of both the front focal point and the rear focal point during zooming. We demonstrate that the proposed algorithm is much more efficient than the Monte Carlo algorithm in designing zoom systems with two fixed foci as well as a given zoom ratio. Furthermore, a compact first-order design of three-component 4X zoom system with two fixed foci is proposed to show the high efficiency and great potential of our proposed algorithm in searching proper first-order configuration for complex optical systems.