Control study of improvement on grey predictive model in large time delay process

Based on ideals of improving on forecasting of the grey model, an improved grey forecasting algorithm was given. The model was built by using data accumulation with weighted method, and the model is improved by changing the initiate condition. The coefficient of the GM(1,1) model is applied to deter...

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Vydané v:2012 24th Chinese Control and Decision Conference (CCDC) s. 896 - 898
Hlavní autori: Liu Junfeng, Xia Junjian, Hu Baoan, Zhang Xinwei
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 01.05.2012
Predmet:
Accuracy
Equations
Grey prediction
Large time delay process
Mathematical model
PD control
Predictive models
Process control
weighted method
ISBN:9781457720734, 1457720736
ISSN:1948-9439
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Abstract Based on ideals of improving on forecasting of the grey model, an improved grey forecasting algorithm was given. The model was built by using data accumulation with weighted method, and the model is improved by changing the initiate condition. The coefficient of the GM(1,1) model is applied to determine the prediction steps. By combining GM(1,1) model with PID, the grey predicting control system for controlling the large time delay process is proposed. The results of simulation show that, comparing with traditional PID control method, the proposed algorithm has better flexibility and robustness, and also can fairly improve the control performances.
AbstractList Based on ideals of improving on forecasting of the grey model, an improved grey forecasting algorithm was given. The model was built by using data accumulation with weighted method, and the model is improved by changing the initiate condition. The coefficient of the GM(1,1) model is applied to determine the prediction steps. By combining GM(1,1) model with PID, the grey predicting control system for controlling the large time delay process is proposed. The results of simulation show that, comparing with traditional PID control method, the proposed algorithm has better flexibility and robustness, and also can fairly improve the control performances.
Author Liu Junfeng
Hu Baoan
Xia Junjian
Zhang Xinwei
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  surname: Xia Junjian
  fullname: Xia Junjian
  organization: Dept. of Basic Sci., Mil. Transp. Univ., Tianjin, China
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  surname: Hu Baoan
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  organization: Dept. of Basic Sci., Mil. Transp. Univ., Tianjin, China
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  surname: Zhang Xinwei
  fullname: Zhang Xinwei
  organization: Dept. of Basic Sci., Mil. Transp. Univ., Tianjin, China
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Snippet Based on ideals of improving on forecasting of the grey model, an improved grey forecasting algorithm was given. The model was built by using data accumulation...
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StartPage 896
SubjectTerms Accuracy
Equations
Grey prediction
Large time delay process
Mathematical model
PD control
Predictive models
Process control
weighted method
Title Control study of improvement on grey predictive model in large time delay process
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