Title :
Real-coding genetic algorithm-based model identification for bed temperature of 300MW CFB boiler
Author :
Hou, Guolian ; Zhang, Yuanyuan ; Zhang, Jianhua
Author_Institution :
Sch. of Control & Comput. Eng., North China Electr. Power Univ., Beijing, China
Abstract :
This paper proposed that an improved genetic algorithm based on real-coding, multi-operators cooperation and rank-based selection of crossover and mutation probability. This algorithm has better ability to search the global optimum result, and applies to identify the model of 300MW circulating fluidized bed boiler in order to acquire the accurate transfer function. This study is conducted to highlight the model of bed temperature and its effect factors.
Keywords :
boilers; encoding; fluidised beds; genetic algorithms; identification; power generation control; probability; transfer functions; CFB boiler; fluidized bed boiler; fluidized bed temperature; multioperators cooperation; mutation probability; power 300 MW; rank based selection; real coding genetic algorithm based model identification; transfer function; Boilers; Coal; Feeds; Furnaces; Genetic algorithms; Temperature; Transfer functions; 300MW CFB boiler; Real-coding genetic algorithm; bed temperature; transfer function;
Conference_Titel :
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location :
Mianyang
Print_ISBN :
978-1-4244-8737-0
DOI :
10.1109/CCDC.2011.5968534
