• Volume 7 •     Next Articles

Control of Ideal Heat Integrated Distillation Columns

HUANG Kejina; ZHAN Dezhib; Nakaiwa Masaruc; Nakane Takashic; Takamatsu Takeichirod   

  1. a Institute of Industrial Process Control, Zhejiang University, Hangzhou 310027, China
    b Department of Chemical Process Automation, Qingdao Institute of Chemical Engineering,
    Qingdao 266043, China
    c Department of Chemical Systems, National Institute of Materials and Chemical Research,
    Tsukuba 305-8565, Japan
    d Institute of Industrial Technology, Kansai University, Suita 564-8680, Japan
  • Received:1900-01-01 Revised:1900-01-01 Online:1999-12-28 Published:1999-12-28
  • Contact: HUANG Kejin

Control of Ideal Heat Integrated Distillation Columns

黄克谨a; 战德志b; 中岩腾c; 中根尧c; 高松武一郎d   

  1. a Institute of Industrial Process Control, Zhejiang University, Hangzhou 310027, China
    b Department of Chemical Process Automation, Qingdao Institute of Chemical Engineering,
    Qingdao 266043, China
    c Department of Chemical Systems, National Institute of Materials and Chemical Research,
    Tsukuba 305-8565, Japan
    d Institute of Industrial Technology, Kansai University, Suita 564-8680, Japan
  • 通讯作者: 黄克谨

Abstract: The operation of an ideal heat integrated dlstillation columan (HIDiC) is addressed .Five
Kinds of control configurations, i.e. single-loop control, multi-loop control,
multivariable internal model control (IMC), modified multlvariable internal model control
(MIMC) and nonlinear process model-based control (NPMC), are designed and applied to the
process. Simulation results demonstrate that all of the above control confaguratloam ere
valid for product quality control. NPMC control configuration is found to be the best one
among all the alternatives. It can readily realize setpoint transitions and conduct
effectively against external disturbance. MIMC control configuration ranks second in the
row for its regulatory responses to feed composition disturbances with relatively extended
setting time, Next comes from the multi-loop control configuration, which is moee or lees
handicapped by its greater deviations and overshootings. IMC control configuration can not
compete with the multi-loop control configuration because it is extremely sensitive to
operating condition changes. Single-ioop control configuration is the worst one among all
the mentioned control configurations. Its responses for the uncoutrolled end products are
extremely sluggish.

Key words: distillation, gain directionality, process non-linearity, control configuration, process operation, closed-loop simulation

摘要: The operation of an ideal heat integrated dlstillation columan (HIDiC) is addressed .Five
Kinds of control configurations, i.e. single-loop control, multi-loop control,
multivariable internal model control (IMC), modified multlvariable internal model control
(MIMC) and nonlinear process model-based control (NPMC), are designed and applied to the
process. Simulation results demonstrate that all of the above control confaguratloam ere
valid for product quality control. NPMC control configuration is found to be the best one
among all the alternatives. It can readily realize setpoint transitions and conduct
effectively against external disturbance. MIMC control configuration ranks second in the
row for its regulatory responses to feed composition disturbances with relatively extended
setting time, Next comes from the multi-loop control configuration, which is moee or lees
handicapped by its greater deviations and overshootings. IMC control configuration can not
compete with the multi-loop control configuration because it is extremely sensitive to
operating condition changes. Single-ioop control configuration is the worst one among all
the mentioned control configurations. Its responses for the uncoutrolled end products are
extremely sluggish.

关键词: 蒸馏;热集成;非线性工艺;操作工艺;闭环模拟;操纵机构配置