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