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Research of the Pipe Flow Measurement and Control System Based on BP Neural Networks PID

  • Kai-ming HuEmail author
  • Yue-zhong Li
  • Xiao-ming Guan
Conference paper
  • 656 Downloads
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 165)

Abstract

As the modern industrial technology development, the accuracy of flow control has become increasingly demanding. The pipeline flow measurement and control system comes under the infulences such as its own attributes, the liquid friction agencies, the impact of noise. The control plant has a certain lag time delay and capacity delay characteristics. In this paper a pipe flow measurement and control system based on neural networks PID algorithm is expounded. It establishes the system’s mathematical model, designs a suitable BP neural network PID controller for the system, and carries on the simulation. This design can well solve the control request of the flow system that can not meet the precise need because of the time-varying complicated nonlinearity characteristics.

Keywords

BP neural network PID flow system’s model simulation 

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.College of Information and Electronic EngineeringEast China Institute of TechnologyFuzhouChina

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