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Integrated Intelligent Control Method of Coke Oven Collector Pressure

  • Jiesheng Wang
  • Xianwen Gao
  • Lin Liu
  • Guannan Liu
Conference paper
  • 3.2k Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7952)

Abstract

Based on the data-driven modeling theory, the integrated modeling and intelligent control method of the coke oven collector pressure is carried out in the paper. The system includes the regression predictive model of coke oven global collector pressure based on support vector machine (SVM), the subtractive clustering algorithm based operation pattern extraction and migration reconfiguration strategy and the self-tuning PID decoupling controller based on the improved glowworm swarm optimization (GSO) algorithm of the coke oven collector pressure. Simulation results and industrial application experiments clearly show the feasibility and effectiveness of control methods and satisfy the real-time control requirements of the coke oven collector pressure system.

Keywords

Coke Oven Collector Pressure Support Vector Machine Operation Pattern Glowworm Swarm Optimization Algorithm Subtractive Clustering PID Controller 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Jiesheng Wang
    • 1
    • 2
  • Xianwen Gao
    • 1
  • Lin Liu
    • 2
  • Guannan Liu
    • 3
  1. 1.College of Information Science and EngineeringNortheastern UniversityShenyangChina
  2. 2.School of Electronic and Information EngineeringUniversity of Science & Technology LiaoningAnshanChina
  3. 3.Liaoning Anshan Power Supply CompanyAnshanChina

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