研究目的
Investigating the performance of two types of controller designed for aiming a laser beam at a particular spot under dynamic disturbances in a Free Space Optical Link (FSOL).
研究成果
The neural-controller demonstrates superior performance in mitigating beam wandering and stabilizing the beam at the center of the photodiode, with minimal displacement and power fluctuations. This approach significantly improves the reliability of FSO links and can be applied in various laser-based applications.
研究不足
The study is limited to a terrestrial FSO link setup for a range of 0.5 km at an altitude of 15.25 m. The effectiveness of the controllers may vary under different atmospheric conditions or longer distances.
1:Experimental Design and Method Selection
The study employs two controller designs: one based on the Taguchi method and the other on the Artificial Neural Network (ANN) method. These controllers process beam location information from an Optoelectronic Position Detector (OPD) and generate outputs to steer the beam using a Fast Steering Mirror (FSM).
2:Sample Selection and Data Sources
The experimental setup includes a terrestrial FSO link for a range of 0.5 km at an altitude of 15.25 m, with a system dynamics study and calibration of optoelectronic equipment.
3:List of Experimental Equipment and Materials
Optoelectronic Position Detector (OPD-PTQ100),Fast Steering Mirror (FSM),Piezo driver module (E-616),Piezoelectric actuators (S-325-Piezo-Z/Tip-Tilt platform),Digital to Analog converter (D/A),Analog to Digital converter (A/D),MATLAB for controller implementation
4:Experimental Procedures and Operational Workflow
The beam centroid is computed using a Mono-Pulse Algorithm (MPA). The controllers process the beam location information from the OPD and generate the necessary outputs to steer the beam with the FSM. The performance is assessed in terms of coefficients of correlation, correction speed, control exactness, centroid displacement, and stability of the receiver signal.
5:Data Analysis Methods
The performance of the controllers is quantitatively measured through experimental results, including coefficients of correlation, correction speed, control exactness, centroid displacement, and stability of the receiver signal.
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