Rapid automatic mode locking method, system and equipment based on deep learning

• Main Authors: CHEN CHEN, LIU XUEMING, SHEN YANTONG, ZHANG CHUHUI
• Format: Patent
• Language: Chinese; English
• Published: 04.06.2024
• Subjects: BASIC ELECTRIC ELEMENTS; CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DEVICES USING STIMULATED EMISSION; ELECTRICITY; PHYSICS

The invention discloses a fast automatic mode locking method, system and device based on deep learning, and belongs to the field of mode-locked lasers and automatic control, and the method comprises the steps: rotating a polarization controller through an electric steering engine, and collecting the output signals of the mode-locked laser at different angles; after photoelectric conversion and high-speed sampling, a data set is formed and is used for model training; the training model method adopts a long-short-term memory model to be combined with an attention mechanism; after training is completed, the model is used for inputting needed mode-locked time domain waveform data, and an adjusted polarization state value is input into a steering engine control panel by a computer through a serial port communication protocol through reverse modeling and is converted into direct-current voltage; and the output direct-current voltage drives an electric control steering engine in the mode-locked laser system, so that