Optimizing Algorithm for Existing Fiber-Optic Displacement Sensor Performance

Area of Science:

• Optics and Photonics
• Sensor Technology
• Metrology

Background:

• Accurate linear displacement measurement is crucial in various scientific and industrial applications.
• Miniature sensors offer advantages in space-constrained environments.
• Existing sensors may lack the required resolution for specific micro-scale applications.

Purpose of the Study:

• To describe the optimal design of a miniature fiber-optic linear displacement sensor.
• To achieve sub-micrometric resolution over a millimetric measurement range.
• To enhance sensor resolution through geometric optimization of its core components.

Main Methods:

• The sensor design incorporates a triangular reflective grating and two fiber-optic probes.
• A geometric optimization approach was applied to the grating's step angle.
• The measurement principle based on optical feedback was analyzed.

Main Results:

• The optimized design enables linear displacement measurement within a millimetric range.
• Sub-micrometric resolution was achieved, demonstrating high precision.
• A global optimum for the grating's step angle was identified, maximizing sensor resolution.

Conclusions:

• The geometrically optimized miniature fiber-optic linear displacement sensor offers superior resolution.
• This sensor design is suitable for applications requiring precise micro-displacement measurements.
• The optimization methodology provides a pathway for developing advanced optical sensing devices.