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Considering Process Nonlinearity in Dual-Point Composition Control of a High-Purity Ideal
Heat Integrated Distillation Column

HUANG Kejina; NAKAIWA Masarua; TAKAMATSU Takeichirob   

  1. a National Institute of Materials and Chemical Research, Tsukuba 305-8565, Japan
    b Institute of Industrial Technology, Kansai University, Suita 564-8680, Japan
  • Received:1900-01-01 Revised:1900-01-01 Online:2001-03-28 Published:2001-03-28
  • Contact: HUANG Kejin

在高纯度理想热耦合精馏塔的双组分控制中考虑过程的非线性

黄克谨a; NAKAIWA Masarua; TAKAMATSU Takeichirob   

  1. a National Institute of Materials and Chemical Research, Tsukuba 305-8565, Japan
    b Institute of Industrial Technology, Kansai University, Suita 564-8680, Japan
  • 通讯作者: 黄克谨

Abstract: Dual-point composition control for a high-purity ideal heat integrated distillation column
(HIDiC) is addressed in this work. Three measures are suggested and combined for overcoming
process inherent nonlinearities:(1) variable scaling; (2) multi-model representation of
process dynamics and (3) feedforward compensation. These strategies can offer the developed
control systems with several distinct advantages: (1) capability of dealing with severe
disturbances; (2) tight tuning of controller parameters and (3) high robustness with
respect to variation of operating conditions. Simulation results demonstrate the
effectiveness of the proposed methodology.

Key words: distillation, nonlinearity, variable scaling, multi-model representation, feedforward compensation, process control

摘要: Dual-point composition control for a high-purity ideal heat integrated distillation column
(HIDiC) is addressed in this work. Three measures are suggested and combined for overcoming
process inherent nonlinearities:(1) variable scaling; (2) multi-model representation of
process dynamics and (3) feedforward compensation. These strategies can offer the developed
control systems with several distinct advantages: (1) capability of dealing with severe
disturbances; (2) tight tuning of controller parameters and (3) high robustness with
respect to variation of operating conditions. Simulation results demonstrate the
effectiveness of the proposed methodology.

关键词: distillation;nonlinearity;variable scaling;multi-model representation;feedforward compensation;process control;closed-loop simulation