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Volume 39 Issue 6
Sep.  2015
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Citation:

Mathematical modeling and parameter identification of temperature control systems based on thermoelectric coolers

  • Received Date: 2014-09-04
    Accepted Date: 2015-01-15
  • In order to achieve high precision temperature control of a semiconductor laser, an experimental temperature control system was designed by using a thermoelectric cooler, a temperature sensor and corresponding radiators. Firstly, the mathematical model and the corresponding transfer function of temperature control were established by utilizing thermodynamic analysis method after theoretical analysis. Secondly, after obtaining the temperature data of the semiconductor laser, according to the characteristics of model parameters, an empirical curve of step response was presented and model parameters were identified by nonlinear curve least square fitting. Finally, the system was simulated based on the model parameters and experimental verification was carried out. The results show that the fitting curve and emulation curve is consistent with experimental curve and the fitting model parameters have better prediction accuracy. The result is helpful for optimizing temperature control.
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Mathematical modeling and parameter identification of temperature control systems based on thermoelectric coolers

  • 1. Mechanical Engineering College, Hubei University of Technology, Wuhan 430068, China;
  • 2. Key Laboratory of Modern Manufacture Quality Engineering, Hubei University of Technology, Wuhan 430068, China

Abstract: In order to achieve high precision temperature control of a semiconductor laser, an experimental temperature control system was designed by using a thermoelectric cooler, a temperature sensor and corresponding radiators. Firstly, the mathematical model and the corresponding transfer function of temperature control were established by utilizing thermodynamic analysis method after theoretical analysis. Secondly, after obtaining the temperature data of the semiconductor laser, according to the characteristics of model parameters, an empirical curve of step response was presented and model parameters were identified by nonlinear curve least square fitting. Finally, the system was simulated based on the model parameters and experimental verification was carried out. The results show that the fitting curve and emulation curve is consistent with experimental curve and the fitting model parameters have better prediction accuracy. The result is helpful for optimizing temperature control.

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