DocumentCode :
226562
Title :
Application of the fuzzy gain scheduling IMC-PID for the boiler pressure control
Author :
Xiao-Feng Li ; Shi-He Chen ; Ruiyuan Wu
Author_Institution :
Electr. Power Res. Inst. of Guangdong Power Group Co., Guangzhou, China
fYear :
2014
fDate :
6-11 July 2014
Firstpage :
682
Lastpage :
688
Abstract :
In this paper, the use of a Fuzzy Gain Scheduling IMC-PID (FGS+IMC-PID) scheme has been presented based on fuzzy performance degree coefficient n self-adjusting controller for the improvement of IMC-PID control. It is shown that the IMC-PID controller with the Fuzzy PID parameters Gain Scheduler provides satisfactory closed-loop responses with less overshoot and shorter rising times in case of both set point disturbance and the plant/model mismatch. Simulations are given, in which the proposed method is compared to other PID tuning methods (IMC, SPMG). The proposed scheme is suitable to implement in the complex process control system in power generation, since it does not demand significant computing resources. It has already been implemented through Function Code in many typical DCS (EDPU, XDPS, Ovation etc). The industrial applications show that the scheme achieves better performance in specific load variation range.
Keywords :
boilers; fuzzy control; power generation control; power generation scheduling; pressure control; self-adjusting systems; three-term control; DCS; FGS+IMC-PID scheme; IMC-PID control; boiler pressure control; closed-loop responses; complex process control system; function code; fuzzy gain scheduling IMC-PID scheme; fuzzy performance degree coefficient; load variation range; plant-model mismatch; power generation; self-adjusting controller; set point disturbance; Heuristic algorithms; Job shop scheduling; Power systems; Process control; Robustness; Tuning; Uncertainty; IMC control; boiler-turbine coordinated control; fuzzy gain scheduling; fuzzy self-adjusting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-2073-0
Type :
conf
DOI :
10.1109/FUZZ-IEEE.2014.6891603
Filename :
6891603
Link To Document :
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