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Updated: Jun 29, 2025

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Integrated Optimization of Structure and Control for Fast Steering Mirrors.

Zijie Chen1,2,3,4, Qianwen Duan1,2,3,4, Luyao Zhang1,2,3,4

  • 1National Key Laboratory of Optical Field Manipulation Science and Technology, Chinese Academy of Sciences, Chengdu 610209, China.

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PubMed
Summary

This study introduces an integrated optimization of structure and control (IOSC) method for fast steering mirrors. This approach simultaneously optimizes mechanical structure and control systems, reducing development time and costs.

Keywords:
co-simulationfast steering mirrorintegrated optimization of structure and control (IOSC)non-dominated sorting genetic algorithm (NSGA)

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Area of Science:

  • Optics and Mechanical Engineering
  • Control Systems and Signal Processing

Background:

  • Traditional fast steering mirror development involves lengthy, costly physical prototyping and iterative debugging.
  • Achieving optimal performance requires balancing system resonance frequency and working bandwidth.

Purpose of the Study:

  • To propose and validate an integrated optimization of structure and control (IOSC) method for fast steering mirrors.
  • To reduce the time and experimental costs associated with traditional R&D pathways.

Main Methods:

  • Utilizing the non-dominated sorting genetic algorithm II (NSGA-II) for optimization.
  • Simultaneously optimizing mechanical structure and control system parameters.
  • Defining performance indices to balance resonance frequency and working bandwidth.

Main Results:

  • The IOSC method enables simultaneous optimization of structure and control parameters.
  • Globally optimal controller and mechanical structure parameters were identified using NSGA-II.
  • An effective balance between resonance frequency and working bandwidth was achieved.

Conclusions:

  • The proposed IOSC method significantly expedites the research and development of fast steering mirrors.
  • This integrated approach provides a high-precision reference for future fast steering mirror designs.
  • IOSC minimizes experimental costs while enhancing design efficiency.