TY - JOUR
T1 - Modeling of a thermoelectric cooler system, design and optimization of the system’s controller
AU - Yusuf, Aminu
AU - Koç, Tufan
AU - Arikuşu, Yilmaz Seryar
AU - Tiryaki, Hasan
AU - Bayhan, Nevra
AU - Ballikaya, Sedat
N1 - Publisher Copyright:
© 2022, Indian Academy of Sciences.
PY - 2022/9
Y1 - 2022/9
N2 - A thermoelectric module was modeled and analyzed in COMSOL Multiphysics using a finite element method (FEM). An optimum coefficient of performance of 0.4 is achieved at an operational current of 2 A, and a maximum heat load of 0.52 W is obtained at zero temperature gradient. The system’s dynamic cooling behavior was simulated and the input and output data were exported to the system identification toolbox in MATLAB for the prediction of the mathematical model. The predicted model was validated and a suitable proportional integral (PI) controller was designed for the system. However, the controller needs to be optimized. Optimization techniques namely: Grey Wolf Optimizer (GWO), Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC), and Harris Hawk Optimization (HHO) were tested on the controller. GWO having a settling time of 199 seconds and an overshoot of 5.96% is found to be the best for this model.
AB - A thermoelectric module was modeled and analyzed in COMSOL Multiphysics using a finite element method (FEM). An optimum coefficient of performance of 0.4 is achieved at an operational current of 2 A, and a maximum heat load of 0.52 W is obtained at zero temperature gradient. The system’s dynamic cooling behavior was simulated and the input and output data were exported to the system identification toolbox in MATLAB for the prediction of the mathematical model. The predicted model was validated and a suitable proportional integral (PI) controller was designed for the system. However, the controller needs to be optimized. Optimization techniques namely: Grey Wolf Optimizer (GWO), Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC), and Harris Hawk Optimization (HHO) were tested on the controller. GWO having a settling time of 199 seconds and an overshoot of 5.96% is found to be the best for this model.
KW - Modeling
KW - grey wolf optimizer
KW - proportional integral controller
KW - system identification
KW - thermoelectric cooler
UR - http://www.scopus.com/inward/record.url?scp=85141371489&partnerID=8YFLogxK
U2 - 10.1007/s12046-022-01954-8
DO - 10.1007/s12046-022-01954-8
M3 - Article
AN - SCOPUS:85141371489
SN - 0256-2499
VL - 47
JO - Sadhana - Academy Proceedings in Engineering Sciences
JF - Sadhana - Academy Proceedings in Engineering Sciences
IS - 3
M1 - 182
ER -