DocumentCode :
3731242
Title :
Boiler combustion optimization using multi-objective model predictive control
Author :
Boqun Lin; Jiong Shen; Yiguo Li; Xiao Wu; Shuanzhu Sun
Author_Institution :
Sch. of Energy &
fYear :
2015
Firstpage :
2140
Lastpage :
2145
Abstract :
This paper proposes the application of multi-objective model predictive control to achieve a dynamic optimization of boiler combustion system. The utopia point of the multi-objective model predictive control system is firstly calculated, and the optimal control sequence is then determined by finding the trade-off solution closed to the utopia point. By using this approach, the arbitrary weighting functions, which are generally used in the multi-objective model predictive control approach are not necessary, and moreover, the procedures of pareto front calculation and final solution decision in the conventional multi-objective optimization can be avoided. Simulation results demonstrate the effectiveness of the proposed multi-objective model predictive control.
Keywords :
Genetics
Publisher :
ieee
Conference_Titel :
Chinese Automation Congress (CAC), 2015
Type :
conf
DOI :
10.1109/CAC.2015.7382859
Filename :
7382859
Link To Document :
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