Design method for low sensitivity optical systems based on a feedback optimization strategy.

Area of Science:

• Optical Engineering
• System Design
• Tolerance Analysis

Background:

• Conventional optical system design relies on empirical methods for tolerance allocation, leading to time-consuming alignment and lack of theoretical basis.
• Effective internal tolerance allocation is crucial for minimizing assembly and alignment complexity in optical systems.

Purpose of the Study:

• To propose a novel design method for optical systems with low error sensitivity using a feedback optimization strategy.
• To address the limitations of empirical experience in conventional tolerance allocation methods.

Main Methods:

• A feedback optimization strategy is employed for designing optical systems with reduced error sensitivity.
• The non-dominated sorting genetic algorithm II (NSGA-II) is used for initial optical structure generation, considering image quality and error sensitivity.
• A feedback optimization mechanism actively regulates internal sensitivity distribution for enhanced error control.

Main Results:

• The proposed method significantly reduces overall sensitivity to assembly errors in optical systems.
• Assembly-induced RMS wavefront error was reduced to 25% and 45% compared to non-desensitized and non-feedback systems, respectively.
• The method rationally allocates internal sensitivity, enhancing manufacturability and reliability.

Conclusions:

• The feedback optimization strategy effectively controls error sensitivity in optical system design.
• The developed method enhances the manufacturability and reliability of optical systems while maintaining high imaging performance.
• This approach provides a theoretically guided method for tolerance allocation in complex optical systems.