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Proceedings ArticleDOI

Fuzzy logic based temperature control of thermoelectric cooler (TEC) for single photon avalanche diode (SPAD) application

17 May 2011-pp 1-7

AbstractSingle photon avalanche diode (SPAD) is a temperature sensitive device. Even a slight variation of temperature can cause unstable performance in quantum efficiency, responsitivity and dark counts. Due to these reasons, unstable temperature could cause overall poor performance of SPAD. It is common for thermoelectric cooler (TEC) to be used as cooling of photodetectors. SPAD was mounted onto the TEC where it needs to be maintained at a constant low temperature under variation of ambient temperature. The system is simulated using Fuzzy Logic Toolbox in MATLAB Simulink. Simulated using P-type fuzzy logic with the set point temperature of −20°C and ambient temperature of 16°C, produce a result of −19.44°C. The P-type fuzzy logic control design has shown a good overall performance where the steady state error is ±0.56°C, which is equivalent to ±2.8% and the settling time for the output simulation, ts, is 35.91s.

Topics: Temperature control (55%), Thermoelectric cooling (54%), Single-photon avalanche diode (53%), TEC (53%), Fuzzy logic (53%)

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Citations
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Proceedings ArticleDOI
01 Nov 2015
TL;DR: The method proposed is integral of time multiplied absolute value of error (ITAE) criteria to determine the coefficient of PID controller and shows that the lowest temperature is 7 °C and the time taken is around 940 second.
Abstract: The Thermoelectric cooler (TEC) is widely known device which have low coefficient of performance (COP) as compare to the conventional compressed refrigerator. However, it is suitable for portable refrigeration that requires light weight, small and fast control. Therefore, the proportional integral derivatives (PID) control was implemented to control input and output while reducing its power consumption. Mathematical model for TEC was develop base on black box model to get its transfer function. The transfer function consist of ratio output and input that been used for analysis during development of controller. This study is focus on performance of PID controller in simulation and real hardware in order to reduce time constrain. The method proposed is integral of time multiplied absolute value of error (ITAE) criteria to determine the coefficient of PID controller. The finding shows that the lowest temperature is 7 °C and the time taken is around 940 second.

4 citations


01 Jan 2014
Abstract: The pursuit of more productive machining regularly requires a review of spindle technology. The performance of the machine tool spindle unit directly decides the efficiency of the machining process. The present paper elaborates about the design and simulation study of Fuzzy Temperature Controller for machine tool spindle to aiming at minimize the thermal deformation error.

References
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Journal ArticleDOI
Abstract: A linear dynamic model of the thermoelectric cooler including the heat sink and the cooling-load heat exchanger was derived using small-signal linearization method. It shows that the dynamic model of a thermoelectric cooler has two poles and one zero. The linear dynamic model is shown to vary with operating conditions. A linear feedback system is designed for the cold-end temperature control of a thermoelectric cooler using the average linear dynamic model of the thermoelectric cooler and a PDF controller structure. The step response tests show that the controller has a very satisfactory performance. Some tests under variable cooling load and ambient temperature are also performed to examine the disturbance-rejection property of the controller. Experimental results show that the cold-end temperature can be maintained at the fixed value within ±0.1°C irrespective of the variations of the cooling load and the ambient conditions.

79 citations


"Fuzzy logic based temperature contr..." refers background or methods in this paper

  • ...2 22 2 ),(),(),( I Ax txTI Ax txTk t txTC ρτγ + ∂ ∂− ∂ ∂= ∂ ∂ (5) C is the average specific heat of the TEC, γ is the average consistency of the TEC, τ is the Thomson coefficient and ρ is the resistance ratio of the TEC....

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  • ...Cooling using TEC consists of an attached cooling load component on the cold side of the TEC, and a heatsink attached on the hot side of the TEC....

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  • ...(26), the transfer function of output cold side temperature to input current to a TEC, modeled from an experiment by [10]: 00855.05964.0 00854.00646.04061.6 )(~ )(~)( 2 ++ +−== ss s sI sTsG LI (32) Fig....

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  • ...For temperature control application, the SPAD, TEC, heatsink, fan and thermocouple requires special design of mounting as in Fig....

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  • ...When there is a temperature difference between the hot side and cold sides of TEC, a voltage is generated called the Seeback Voltage [2]....

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Proceedings ArticleDOI
01 Dec 2006
Abstract: Thermoelectric coolers (TEC) are used in a variety of applications that require extremely stable temperature control. In this paper a fuzzy controller is applied for the cold-end temperature control of a thermoelectric cooler. Fuzzy inference parameters which include the rule base and the shapes of the membership functions are tuned via simulation. The fuzzy control system was examined under variable cooling load and ambient temperature with different memberships functions. The mathematical results show that the cold-end temperature can be maintain at the fixed value within plusmn 0.0045degC, irrespective of the variation of the cooling load and the ambient conditions.

22 citations


"Fuzzy logic based temperature contr..." refers methods in this paper

  • ...Due to complex and nonlinear mathematical model of TEC, researchers use fuzzy logic, self-adaptive PID and NN-PID to simulate the controller system....

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Proceedings ArticleDOI
25 Jun 2010
Abstract: Thermoelectric cooler has dynamic thermoelectric performance under complex environment. A dynamic model of thermoelectric cooler is derived using small-signal linearization method. It shows that the dynamic model of the thermoelectric cooler has one zero and two poles. The dynamic model of thermoelectric cooler is shown to vary with different operating condition. Based on average linear dynamic model of a thermoelectric cooler, a temperature control system is designed for the cold end temperature of the thermoelectric cooler using adaptive NN-PID algorithm. The step response tests show that the controller has satisfying dynamic and steady performance. In room temperature environment, the response time for cooling down 10_ is around 70s and the steady error is very small. The cold-end temperature can be maintained at the setting value within 0.1_. Experiment results also show that the setting temperature can reach to 23_ below the environment temperature. The smaller setting value is, the longer step response is.

14 citations


"Fuzzy logic based temperature contr..." refers methods in this paper

  • ...According to a research done using fuzzy logic [5], with the linearization mathematical model showed that the cold-end temperature can be maintained at the fixed value within ±0.0045˚C irrespective of the variation of the cooling load and the ambient temperature....

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Book ChapterDOI
14 Jul 1995

13 citations


"Fuzzy logic based temperature contr..." refers background in this paper

  • ...1 shows a TEC consist of p-type and n-type semiconductor, usually made of bismuth-telluride material [8]....

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  • ...Meanwhile, the electrons from n-type of the higher energy level go to the lower energy level in the p-type through the interconnecting conductor, thus releasing heat on the hot side [8]....

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  • ...The transfer function of a TEC is highly nonlinear [8-10]....

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  • ...The energy balance gives an equation of [8][9][10]:...

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  • ...Peltier effect is the phenomenon whereby the passage of an electrical current through a junction consisting of two dissimilar semiconductors resulting in a cooling effect [8]....

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Proceedings ArticleDOI
25 Sep 2009
TL;DR: Experimental results show that using fuzzy self-adaptive PID control improves the dynamic response and raises the steady-state precision of laser diode temperature control system.
Abstract: Introduce a precision fuzzy self-adaptive PID control system in semiconductor laser. Output wavelength of semiconductor laser has temperature drift with temperature changing. It affects semiconductor laser accuracy and service life. In order to enable the semiconductor laser work stably, maintain its temperature stability, design this system using MATLAB Toolbox. Adjusting effect of temperature system in real test is applied for testing the temperature control system. Experimental results show that using fuzzy self-adaptive PID control improves the dynamic response and raises the steady-state precision of laser diode temperature control system. When the environment temperature is 16 °C, the over-shoot under this fuzzy control of self-adaptive PID controller is less than 1.6% of this under PID controller, the regulation time reduced 2.5s, the control accuracy of fuzzy self-adaptive PID control is 0.005 °C.

12 citations


Additional excerpts

  • ...Meanwhile, a research using adaptive NN-PID [6] for temperature control of thermoelectric cooler results in response time of 10˚C in 70s with satisfying dynamic and steady performance....

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