Abstract

In this paper, a novel intelligent modeling method for transfer function control of DBR semiconductor lasers at near-working point is proposed, which is based on the quantum particle swarm optimization (QPSO) algorithm. This modeling method effectively solves the difficulty of application in the traditional laser theory and equivalent circuit models in practical engineering. First, we analyze the input and output characteristics of DBR semiconductor laser at near-working point, where the laser system can be equivalent to a transfer function model including two main modules: the laser power control module and the laser wavelength control module, and determine the structure of this equivalent model based on the analysis results. Then, we use the QPSO intelligent algorithm to identify the model parameters and finally obtain the equivalent transfer function model that can be easily applied to practical engineering. The standard deviations of the steady-state errors of these two modules are 3.4×10 -3 and 1.2×10 -5 , respectively. Experiments verify the effectiveness and convenience of the proposed (intelligent modeling) method, which can be used for on-line modeling of the DBR semiconductor laser at near-working point.

Highlights

  • With the development of quantum information science and technology, a series of high precision quantum measurement instruments have been developed, such as atomic gyroscopes [1], [2], atomic magnetometers [3], [4], atomic clocks [5], [6] and atomic gravimeters [7], [8]

  • In order to overcome the incompleteness of the traditional equivalent circuit model that ignores the temperature influence and the optical characteristics of the semiconductor laser, this paper proposes an intelligent modeling method for transfer function control (TFC) of the Distributed Bragg reflector (DBR) semiconductor laser

  • In this paper, we analyzed the input-output characteristics of a self-developed DBR laser at near-working point, where the laser system can be equivalent to a TFC model including two main modules: the laser power control module and the laser wavelength control module

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Summary

INTRODUCTION

With the development of quantum information science and technology, a series of high precision quantum measurement instruments have been developed, such as atomic gyroscopes [1], [2], atomic magnetometers [3], [4], atomic clocks [5], [6] and atomic gravimeters [7], [8]. X. Li et al.: Intelligent Modeling for TFC of DBR Semiconductor Laser at Near-Working Point meets the requirement of quantum precision measurement. Li et al.: Intelligent Modeling for TFC of DBR Semiconductor Laser at Near-Working Point meets the requirement of quantum precision measurement In this situation, a proper and accurate modeling method is necessary for the application of TFC method. In view of the complexity of the interaction between photons and electrons, as well as the nonlinear time-varying relationship between the laser input and the laser output, we first linearize the system model at near-working point, so that a general model framework for TFC is constructed through the classical modeling method [21]–[24] This general framework is composed of two main modules: the laser power control module and the laser wavelength control module, whose model parameters are unidentified. Overcomes the lack of the temperature item and the optical output items in the traditional equivalent circuit model, which is more feasible and accurate for TFC of the DBR semiconductor laser

INTELLIGENT MODELING OF TRANSFER FUNCTION
TFC MODEL RECOGNITION METHOD FOR LASER NEAR THE WORKING POINT
DATA ACQUISITION AND PREPROCESSING
MODEL VALIDATION
CONCLUSION
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