Self-Tuning I-P Control Based on Generalized Predictive Control using Coprime Factorization for a Thermal Power Plant Boiler

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  • Sato Takao
    Division of Mechanical System, Department of Mechanical Engineering, Graduate School of Engineering, Himeji Institute of Technology
  • Takeda Kazuhiro
    Mitsubishi Heavy Industries, Ltd.
  • Inoue Akira
    Department of Systems Engineering, Faculty of Engineering, Okayama University

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Other Title
  • 既約分解表現を用いた一般化予測制御に基づくセルフチューニングＩ－Ｐ制御器による火力発電所ボイラー制御
  • キヤク ブンカイ ヒョウゲン オ モチイタ イッパンカ ヨソク セイギョ ニ モトヅク セルフチューニング I P セイギョキ ニ ヨル カリョク ハツデンショ ボイラー セイギョ

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Abstract

This paper gives a design of an I-P controller for a pressure control system in a furnace of a thermal power plant boiler. The plant has multivariables, interactions among variables, non-linearity and uncertain time delays. Hence the control performance for this plant would be not good by simply using I-P controllers. <BR>To obtain a good transient property for a reference signal of a plant such as having the interactions among variables, non-linearity and unknown time delays, this paper regards interactions as disturbances, lets the plant approximate to two first-order independent systems having disturbances instead of interactions and uses a self-tuning I-P controller based on an extended generalized predictive control (GPC) which can redesign disturbance response independently to reference response. Expressions of a self-tuning scheme of the I-P controller for two first-order systems are obtained by approximating the I-P controller to the extended GPC method with identified parameters of two first-order systems. Simulation results are given to show effectiveness of the proposed controller.

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