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
Link To Document :
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