Paraxial design of four-component zoom lens system with fixed distance between focal points by matrix optics

TL;DR

This paper introduces a systematic paraxial design method for four-component zoom lenses with fixed focal point spacing, utilizing matrix optics and Particle Swarm Optimization to achieve optimal zoom trajectories.

Contribution

It presents a novel approach combining matrix optics and PSO for explicit parametric optimization of complex zoom lens systems with fixed focal distances.

Findings

Successful numerical examples demonstrating effective zoom trajectory optimization.

The method effectively minimizes primary aberrations and improves system compactness.

Proves practical for designing complex multi-group zoom optical systems.

Abstract

In this paper, we propose a systematic approach to design a four-component zoom system with fixed spacing between focal points based on matrix optics. Since the more complex model the higher degree of freedom it has, the task of determining the zoom trajectory is meaningful and challenging. The elements of the system matrix imply the working state of the optical system, and axial displacement equation for the desired zoom system are derived by restricting specific matrix elements. Properly selected trajectory of the particular component described by means of a parametric function can make the model become solvable explicitly. Then the paraxial design problem is transformed into the optimization of these parameters with regard to the merit functions encompassing the primary aberration terms, compactness, smoothness of the trajectories. We adopt Particle Swarm Optimization (PSO) algorithm to globally optimize the parameters to retrieve the optimum zoom trajectory in specific design criteria. The proposed method is demonstrated through two numerical examples under different configurations. The simulation results demonstrate that our proposed method can be a practical and powerful tool for paraxial design of complex multi-group zoom optical systems.