Integrated intelligent control method of coke oven collector pressure

  • Authors:

  • Jiesheng Wang;Xianwen Gao;Lin Liu;Guannan Liu

  • Affiliations:

  • College of Information Science and Engineering, Northeastern University, Shenyang, China,School of Electronic and Information Engineering, University of Science & Technology Liaoning, Anshan, ...;College of Information Science and Engineering, Northeastern University, Shenyang, China;School of Electronic and Information Engineering, University of Science & Technology Liaoning, Anshan, China;Liaoning Anshan Power Supply Company, Anshan, China

  • Venue:
  • ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part II
  • Year:
  • 2013

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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.