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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Bibliographic Details
Published in:2012 24th Chinese Control and Decision Conference (CCDC) pp. 896 - 898
Main Authors: Liu Junfeng, Xia Junjian, Hu Baoan, Zhang Xinwei
Format: Conference Proceeding
Language:English
Published: IEEE 01.05.2012
Subjects:
Accuracy
Equations
Grey prediction
Large time delay process
Mathematical model
PD control
Predictive models
Process control
weighted method
ISBN:9781457720734, 1457720736
ISSN:1948-9439
Online Access:Get full text
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Summary: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.
ISBN:9781457720734
1457720736
ISSN:1948-9439
DOI:10.1109/CCDC.2012.6244139