Abstract

This paper introduces a self-tuning fuzzy temperature control system for the diode-pumped solid-state (DPSS) blue laser at 473 nm. This temperature control system includes circuit of temperature sampling, power circuit of temperature adjusting, and fuzzy proportional-integral derivative (PID) controller. Circuit of temperature sampling adopts the precision temperature sensor for exact temperature sampling. The input signal of fuzzy PID controlling is digital signal from A/D transform chip, then the input analog signal of A/D transform chip is the differential signal of temperature sampling signal and setting temperature signal. The traditional PID control method cannot self-tune parameters of Kp, Ki, Kd in operating, this paper applies the method of combining fuzzy illation with traditional PID controlling to realize self-tuning parameter of PID. This system designs the power circuit to respond to control signal of fuzzy PID controller, that power circuit is made up of high power metal-oxide-semiconductor (MOS) field effect transistors semiconductor and Peter component. This self-tuning fuzzy temperature control system has good dynamic characteristic and static characteristic, and the system has lower over-adjusting and shorter response time. The temperature control precision of system is up to +-0.05 deg., the change range of the pump laser diode wavelength is below 0.02 nm, and the power stability of the laser at 473 nm is below +-1%.

© 2007 Chinese Optics Letters

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  1. W. Koechner, Solid-state Laser Engineering (Springer-Verlag, Berlin, 1996).
  2. S. Bjurshagen, D. Evekull, and R. Koch, Appl. Phys. B 76, 135 (2003).
  3. C. Jacinto, A. A. Andrade, T. Catundac, S. M. Lima, and M. L. Baesso, Appl. Phys. Lett. 86, 034104 (2005).
  4. T. Y. Fan and R. L. Byer, IEEE J. Quantum Electron. 23, 605 (1987).
  5. Y. Zhou, Y. Ding, W. Ni, L. Tan, D. Lin, and S. Li, Chin. J. Quantum Electron. (in Chinese) 20, 431 (2003).
  6. J. Liu, Matlab Simulation of Advance PID Control (in Chinese) (Publishing House of Electronics Industry, Beijing, 2004).

2005 (1)

C. Jacinto, A. A. Andrade, T. Catundac, S. M. Lima, and M. L. Baesso, Appl. Phys. Lett. 86, 034104 (2005).

2003 (2)

S. Bjurshagen, D. Evekull, and R. Koch, Appl. Phys. B 76, 135 (2003).

Y. Zhou, Y. Ding, W. Ni, L. Tan, D. Lin, and S. Li, Chin. J. Quantum Electron. (in Chinese) 20, 431 (2003).

1987 (1)

T. Y. Fan and R. L. Byer, IEEE J. Quantum Electron. 23, 605 (1987).

Appl. Phys. B (1)

S. Bjurshagen, D. Evekull, and R. Koch, Appl. Phys. B 76, 135 (2003).

Appl. Phys. Lett. (1)

C. Jacinto, A. A. Andrade, T. Catundac, S. M. Lima, and M. L. Baesso, Appl. Phys. Lett. 86, 034104 (2005).

Chin. J. Quantum Electron. (in Chinese) (1)

Y. Zhou, Y. Ding, W. Ni, L. Tan, D. Lin, and S. Li, Chin. J. Quantum Electron. (in Chinese) 20, 431 (2003).

IEEE J. Quantum Electron. (1)

T. Y. Fan and R. L. Byer, IEEE J. Quantum Electron. 23, 605 (1987).

Other (2)

J. Liu, Matlab Simulation of Advance PID Control (in Chinese) (Publishing House of Electronics Industry, Beijing, 2004).

W. Koechner, Solid-state Laser Engineering (Springer-Verlag, Berlin, 1996).

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