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Feedback-Assisted Iterative Learning Control for Batch Polymerization Reactor

  • Shuchen Li
  • Xinhe Xu
  • Ping Li
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3174)

Abstract

An algorithm of the feedback-assisted iterative learning control (FBAILC) was proposed for a batch repeatable operation process. Control law of FBAILC was based on the inverse of process model, added the filter polynomial in iterative learning and analyzed the convergence of FBAILC algorithm. On-line estimator method of the process parameters was introduced in application, which achieved the parameter self-tuning of controller. The effectiveness of the proposed method was demonstrated by simulation results.

Keywords

Reference Trajectory Iterative Learn Control Control Curve Filter Polynomial Jacket Temperature 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Shuchen Li
    • 1
    • 2
  • Xinhe Xu
    • 1
  • Ping Li
    • 2
  1. 1.School of Information Science & EngineeringNortheastern UniversityShenyangChina
  2. 2.School of Information EngineeringLiaoning University of Petroleum & Chemical TechnologyFushunChina

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