DocumentCode
2521871
Title
Research on a modified smith control based on fuzzy algorithm
Author
Wang, Qinglan ; Shi, Xuewen
Author_Institution
Coll. of Electr. Eng. & Autom., Qufu Normal Univ., Qufu, China
fYear
2011
fDate
23-25 May 2011
Firstpage
3000
Lastpage
3003
Abstract
For the first-order integral process with large time delay, by introducing an inertial term which is regarded as a low-pass filter in system´s main feedback loop, a modified smith predictor (MSP) was presented. Further, the MSP controller and fuzzy PID controller are combined to make an intelligent control system to deal with systems with uncertainty and long time delay. By turning the PID parameters and smith predictor´s filter time constant online, the intelligent system has advantages of strong disturbance rejection capability, high steady precision and low dependence on the controlled plant´s precise mathematical model compared with conventional smith predictor and fuzzy PID controller, simulation results demonstrate the effectiveness of the proposed method.
Keywords
delays; feedback; fuzzy control; industrial control; intelligent control; low-pass filters; predictive control; three-term control; uncertain systems; MSP controller; PID parameter turning; disturbance rejection capability; feedback loop; first-order integral process; fuzzy PID controller; fuzzy algorithm; intelligent control system; low-pass filter; modified Smith control; modified smith predictor; time delay; uncertain system; Delay effects; Low pass filters; Mathematical model; Modeling; Predictive models; Process control; Transfer functions; Fuzzy PID control; Fuzzy-smith control; Low-pass filter; Smith Predictor;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location
Mianyang
Print_ISBN
978-1-4244-8737-0
Type
conf
DOI
10.1109/CCDC.2011.5968767
Filename
5968767
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