Adaptive generalised predictive control of high purity internal thermally coupled distillation column

Authors

  • Xinggao Liu,

    Corresponding author
    1. State Key Laboratory of Industrial Control Technology, Control Department, Zhejiang University, Hangzhou 310027, China
    • State Key Laboratory of Industrial Control Technology, Control Department, Zhejiang University, Hangzhou 310027, China.
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  • Chengyu Wang,

    1. State Key Laboratory of Industrial Control Technology, Control Department, Zhejiang University, Hangzhou 310027, China
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  • Lin Cong,

    1. State Key Laboratory of Industrial Control Technology, Control Department, Zhejiang University, Hangzhou 310027, China
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  • Feng Ding

    Corresponding author
    1. Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), School of IoT Engineering, Jiangnan University, Wuxi 214122, China
    • Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), School of IoT Engineering, Jiangnan University, Wuxi 214122, China.
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Abstract

Internal thermally coupled distillation column (ITCDIC) is a frontier in the energy-saving distillation researches. One of the bottlenecks to prevent the column from being commercialised is the difficulty in control design due to the high sensitivity to disturbances, strong asymmetric nonlinearity and inverse response especially under high purity. An adaptive multivariable generalised predictive control (AM-GPC) strategy of ITCDIC process is proposed to solve the difficulties in high purity. The simulation results of AM-GPC are compared with single input and single output GPC (S-GPC), multivariable GPC (M-GPC), modified IMC (M-IMC) and traditional PID control in detail. The performances confirm the accuracy and validity of AM-GPC for the high-purity ITCDIC process. © 2011 Canadian Society for Chemical Engineering

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