Title :
Model predictive control for MCFC stack operation temperature
Author :
Yang, Fan ; Zhu, Xin-jian ; Cao, Guang-yi ; Hu, Wan-qi
Author_Institution :
Fuel Cell Res. Inst., Shanghai Jiao Tong Univ., Shanghai
Abstract :
Operation temperature of a molten carbonate fuel cell stack should be controlled within a special range in order to improve availability and performance of fuel cells. In this paper, a predictive control algorithm based on the Takagi-Sugeno fuzzy model is developed for the temperature of a molten carbonate fuel cell stack. Based on the future outputs predicted by a Takagi-Sugeno fuzzy model, a discrete optimization of the control action is carried out according to the principle of branch-and-bound method. The simulation results demonstrate that there is a potential to introduce the predictive control based Takagi-Sugeno fuzzy model to the development of fuel cells.
Keywords :
fuzzy control; molten carbonate fuel cells; predictive control; tree searching; MCFC stack operation temperature; Takagi-Sugeno fuzzy model; branch-and-bound method; discrete optimization; model predictive control; molten carbonate fuel cell stack; Availability; Fuel cells; Fuzzy control; Optimization methods; Prediction algorithms; Predictive control; Predictive models; Takagi-Sugeno model; Temperature control; Temperature distribution; model predictive control; molten carbonate fuel cell (MCFC); operation temperature;
Conference_Titel :
Vehicle Power and Propulsion Conference, 2008. VPPC '08. IEEE
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-1848-0
Electronic_ISBN :
978-1-4244-1849-7
DOI :
10.1109/VPPC.2008.4677712
