TY - GEN
T1 - LPV model-based temperature control of thermoelectric device
AU - Shao, Hui
AU - Yang, Zhaohua
AU - Yu, Yuanjin
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2015/8/31
Y1 - 2015/8/31
N2 - A linear parameter varying (LPV) model for a class of nonlinear thermoelectric (TE) system is presented, which provides a relatively simple modeling process and high model accuracy. Identified model parameters are applied to design the adaptive Smith PID controller, which simplifies the computation of the control process owing to the low order of LPV models and the Smith structure. Further more, a multiple reference models (MRM) structure is proposed to design the controller for a class of nonlinear systems with the LPV models like the TE system, introducing a reference model observer (RMO) to generate an appropriate reference model (RM) for the different set-points in order to solve the global tracking problems of the nonlinear systems. The simulation and experimental results show that the proposed model is able to demonstrate the nonlinearity of the TE systems in a wide input domain. The proposed adaptive PID method can also deal with the nonlinear dynamic of the TE systems for the set-point tracking over a large temperature range with improved temperature tracking performances, which reduce the overshoot and improve the transient time.
AB - A linear parameter varying (LPV) model for a class of nonlinear thermoelectric (TE) system is presented, which provides a relatively simple modeling process and high model accuracy. Identified model parameters are applied to design the adaptive Smith PID controller, which simplifies the computation of the control process owing to the low order of LPV models and the Smith structure. Further more, a multiple reference models (MRM) structure is proposed to design the controller for a class of nonlinear systems with the LPV models like the TE system, introducing a reference model observer (RMO) to generate an appropriate reference model (RM) for the different set-points in order to solve the global tracking problems of the nonlinear systems. The simulation and experimental results show that the proposed model is able to demonstrate the nonlinearity of the TE systems in a wide input domain. The proposed adaptive PID method can also deal with the nonlinear dynamic of the TE systems for the set-point tracking over a large temperature range with improved temperature tracking performances, which reduce the overshoot and improve the transient time.
KW - Adaptive PID controller
KW - LPV mode
KW - Reference Model Observer
KW - Temperature control
KW - Thermoelectric system
UR - http://www.scopus.com/inward/record.url?scp=84953791513&partnerID=8YFLogxK
U2 - 10.1109/ICMC.2014.7231706
DO - 10.1109/ICMC.2014.7231706
M3 - Conference contribution
AN - SCOPUS:84953791513
T3 - Proceedings - 2014 International Conference on Mechatronics and Control, ICMC 2014
SP - 1012
EP - 1017
BT - Proceedings - 2014 International Conference on Mechatronics and Control, ICMC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - International Conference on Mechatronics and Control, ICMC 2014
Y2 - 3 July 2014 through 5 July 2014
ER -