Research on the flow control strategy of water distributor in Water Injection Well

The technological process of the water distributor flow deployment has mixed features of strong non-linearity, tough interference of multilayer coupling and complex models in Water Injection Well. The traditional model-based control strategies cause many problems (e.g. system instability, high time-...

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Bibliographic Details
Main Authors: Jia Deli, Pei Xiaohan, Liu He, Sun Fuchao
Format: Conference Proceeding
Language:English
Subjects:
Accuracy
Biological neural networks
Measurement
Neurons
PIN Neural Network
Plugs
Process control
Robustness
Water Distributor
Water Injection Well
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Summary:The technological process of the water distributor flow deployment has mixed features of strong non-linearity, tough interference of multilayer coupling and complex models in Water Injection Well. The traditional model-based control strategies cause many problems (e.g. system instability, high time-consuming deployment, pressure built up in pipeline), which make it difficult to meet the expected requirements of technological process. In this paper, a novel PID-NN control strategy is proposed to solve the problems. The controller's performance has been optimized by the strategy in three aspects as follows: modeling non-linear-controlled object, decoupling parameters of flow and pressure and improving efficiency and accuracy of the controller. The simulation results and pilot experiments of test well illustrate that this strategy improves the robustness and response speed of the system, and also proves this controller can handle multivariate decoupling problem of the technological process of the water distributor flow deployment.
ISSN:2161-2927
DOI:10.1109/ChiCC.2014.6895787