Title :
Intelligent coordinated control of circulating fluidized bed boiler-turbine unit
Author :
Li, Xiao-Feng ; Chen, Shi-He ; Zhong, Qing
Author_Institution :
Guangdong Power Test & Res. Inst., Guangdong Power Group Co., Guangzhou, China
Abstract :
An intelligent coordinated control strategy has been proposed and successfully applied to 135~300 MW circulating fluidized bed (CFB) boiler-turbine units in China. Because the combustion system of the CFB is a complex object characterized, it is difficult to build precise mathematic model and control it with traditional control theory. The paper describes intelligent coordinated control (ICC) system for the circulating fluidized bed (CFB) unit. ICC is based on both fuzzy feedforward control and the fuzzy-PID feedback control. The feedforward control path contains a set of multi-input single-output fuzzy inference systems. The control output is mainly determined by the feedforward path, diminishing the control effort on the PID controllers. The fuzzy-PID controller supplies the complementary control signal component for regulation and disturbance rejection in small neighborhoods about the commanded trajectories. The scheme is implemented based on the Function Code on many typical DCS (INFI-90, XDPS, etc). The industrial application results show that this design scheme works well for the specific range of load variations.
Keywords :
boilers; fuzzy control; intelligent control; internal combustion engines; mathematical analysis; state feedback; three-term control; turbines; CFB; combustion system; fluidized bed boiler-turbine unit circulation; fuzzy feedforward control; fuzzy inference systems; fuzzy-PID feedback control; intelligent coordinated control; mathematic model; Combustion; Control systems; Control theory; Feedback control; Fluidization; Fuzzy control; Fuzzy sets; Intelligent control; Mathematical model; Mathematics; Boiler-turbine coordinated control; Circulating fluidized bed boiler; Fuzzy feedforward control; Fuzzy-PID controller; Non-uniform grid scheduling;
Conference_Titel :
Fuzzy Information Processing Society (NAFIPS), 2010 Annual Meeting of the North American
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4244-7859-0
Electronic_ISBN :
978-1-4244-7857-6
DOI :
10.1109/NAFIPS.2010.5548191